SIDNfY R. fRAN½
Transcript of SIDNfY R. fRAN½
SIDNfY R fRANfrac12GROUP ~ RT IFIE D CONSULT N G METEOROLOGIST
1500 CECIL COOK PLACE bull POST OFFICE BOX 580
SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
TELEPHONl 0GS 0 4-4477 bull HOME 805-965-7540
FINAL REPORT
REMOTE S~NSING OF ATMOSPHERIC INVERSIG~S PROJECT No J-164-2 CONTRACT Noa 022
Submitted To The California Air Resources Board
By
SIDNEY R bull FRANK
31 January 1973
REP QC 8804 AB F7
FINAL REPORT
REMOTE SENSING OF ATMOSPHERIC INVERSIONS PPOJECT No 3-164-2 CONl1RACI1 No 02
ABSTRAcrr
The program was conducted in two parts 1 1 rlhe Cc li brati on of the
atmospheric ducting of television signals over the ocean in terms
of temperature inversion base heights and 2 rrhe cal~ brati on of
anomalous propagation as exhibited by radar surface return over
land during periods of temperature inversion base heights l1he
former 1 was conducted measuring the signal strength of San
Diego television station Channel 10 at a receiver at the Sidney
R Frank bullbullbull Group office at the Santa Earbara Airport and the
latter 2 was conducted by analyzing 35 years 0f almost continshy
uous time-lapse filming of the radarscope of the Natianal weather
Servicebull s WSR57 weather radar at Sacramento Both phases of the
program were successful in that highly useful atmospheric inforshy
mation for air pollution control was obtainerl by means other than
the normal meteorological sensors In addi ti on under almost
all circumstances th~ data were more valuable and more economlcally
derived than those obtained by the standard methods used today
The conclusion was that these remote sensing techniques be expanded
to other Basins in California and ultimately throughout the
nation
~IDNfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
1 0 lleview
As this Final Heport includes a Fourth Quarter Progress Heport
(an extension of time without additional funds) more data
were acquired and analyzed than originally nticipa ted Hence
while not all schedn1ed areas were examinerl for television
signal ducting as originally planned the use and results
from the unplanned (unscheduled) radar data and the addishy
tional Southern California ducting da ta provided further
documentation of the applicability of atmospher 0 ducting As
will be seen the conclusions reached open an entirely newmiddot
means of providing the Air Pollution Control Officer with real
time atmospheric data wtthout adding significantly to his
operational budget
11 Phase One - Atmospheric ducting of television signals over Southern California Eay between s~n Diego and Santa Barbara
The initial investigation of the program was designed to reshy
examine and quantify the relationship between the strength of
the 19325 MH signal from Channel 10 television station in
San Diego as received at the Santa Parbra Airport Goleta
and the measured inversion base heights as determined by
radiosonde stations located along coastal Southern California
To accomplish this task the SIGNAL STRENGTH values at radioshy
sonde times were extracted from the continuous monitoring
system installed at the offices of the Sidney R Frankl~ Group
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SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORTbull GOLETA CALIF 93017
The system consists of a 20 DB gain antenna specifically
designed for the Channel 10 frequency band a television
receiver and a matched Leeds amp Northrup Speedomax H 8nalop
recorueru Calibrations were made periodiLlly with a Sencore
FS 134 Field Strength Meter The desirability of having a
continuous monitoring system instead of spot samples at specishy
fic times was further substantiated when it became necessary
to synchronize the irregular timing of the tAX (Los Angeles
International Airport) NTD (Pt Mugu) and NSl (San Nicholas
Island) radiosondes for measured INVERSION BASE luUGHTS with
SIGNAL STRENGTH data It can be seen from the radiosonde
location map Figure 1 that the two stations closest to the
beam path are NTD and LAX wtth LAX being the closest to midshy
point between SBA (Santa Parbara Airport Goleta) and the
Channel 10 transmitter Hence the first testing of the
technique was scheduled to involve correlations of signal
strength with the LAX inversion base he~ght Actual correlashy
tion calculations 1rere deferred until an adequate sample size
11las obtained By the end of 1971 it was evident that highly
useful data had been obta1ned during th11 period of August 25
through November 30 1971 Consequently Progress Beport 2
and the subsequent reports documented the results obtained
throughout 1972 in a manner similar to that of the original
periods analysis These will be presented in Section 20
as the Fourth Quarterly Progress Report
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pound10NfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
12 Phase 11wo - Atmospheric ductlnp of radar sipnals emanaLin11- from the NWS WSR57 radar located at Sacramento CnUforn1n
To determine the optimum period for tPstinp the Remote Serrntng
Technique 1n the Sacramento Valley a stu~y was initiated of
film made of the Sacramento NWS WSR57 -3darmiddot scope during the
period July 1964 to aY 1968 The reason f)I using this parshy
ticular period was that the film consisted of a continuous
series of individual frames exposed at a rate of nominally one
every 15 minutes The hypothesis leading to the study was tmt
~nomalous fropagation (AP) recognizable on the cope ap an
anomalous ground return area would occur under atmospheric
conditions identical to those causing ducting and hence
would involve the same parameters as those defining inversions
The results of the study from June 1966 to May 1968 exceeded
expectations in that not only did a distinct degclimatology by
months emerge but a diurnal climatology as well rhe corresshy
pondence of the monthly AP climatology to the ducting at
Oakland (as defined by the difference in refractive index
between the surface and 1 Km above the surface Figure 2) was
particularly striking since it implied flmilarity of air masses
encompassing the Eay Region and Sacramento Another parameter
the magni tude of the reflected signal measured off Sutter
Buttes Pr was tested to see if it exhibited any monthly or
seasonal variation A similar pattern to that of the AP freshy
quency was found and by making the distinction between Pr
values at times of AP and those times without evidence o AP
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SI DNfY R FRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
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SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
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SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
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SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
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SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
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SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
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SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
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SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
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SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
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SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
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SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
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SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
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GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
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I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
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I I Summation 1 Jan 1965 - 31 Y~y 1968
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p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
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RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
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12
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Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
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-28-
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Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
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- ___ _
-02
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J
0
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-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
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AP vr o40
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0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
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N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
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fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
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Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
FINAL REPORT
REMOTE SENSING OF ATMOSPHERIC INVERSIONS PPOJECT No 3-164-2 CONl1RACI1 No 02
ABSTRAcrr
The program was conducted in two parts 1 1 rlhe Cc li brati on of the
atmospheric ducting of television signals over the ocean in terms
of temperature inversion base heights and 2 rrhe cal~ brati on of
anomalous propagation as exhibited by radar surface return over
land during periods of temperature inversion base heights l1he
former 1 was conducted measuring the signal strength of San
Diego television station Channel 10 at a receiver at the Sidney
R Frank bullbullbull Group office at the Santa Earbara Airport and the
latter 2 was conducted by analyzing 35 years 0f almost continshy
uous time-lapse filming of the radarscope of the Natianal weather
Servicebull s WSR57 weather radar at Sacramento Both phases of the
program were successful in that highly useful atmospheric inforshy
mation for air pollution control was obtainerl by means other than
the normal meteorological sensors In addi ti on under almost
all circumstances th~ data were more valuable and more economlcally
derived than those obtained by the standard methods used today
The conclusion was that these remote sensing techniques be expanded
to other Basins in California and ultimately throughout the
nation
~IDNfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
1 0 lleview
As this Final Heport includes a Fourth Quarter Progress Heport
(an extension of time without additional funds) more data
were acquired and analyzed than originally nticipa ted Hence
while not all schedn1ed areas were examinerl for television
signal ducting as originally planned the use and results
from the unplanned (unscheduled) radar data and the addishy
tional Southern California ducting da ta provided further
documentation of the applicability of atmospher 0 ducting As
will be seen the conclusions reached open an entirely newmiddot
means of providing the Air Pollution Control Officer with real
time atmospheric data wtthout adding significantly to his
operational budget
11 Phase One - Atmospheric ducting of television signals over Southern California Eay between s~n Diego and Santa Barbara
The initial investigation of the program was designed to reshy
examine and quantify the relationship between the strength of
the 19325 MH signal from Channel 10 television station in
San Diego as received at the Santa Parbra Airport Goleta
and the measured inversion base heights as determined by
radiosonde stations located along coastal Southern California
To accomplish this task the SIGNAL STRENGTH values at radioshy
sonde times were extracted from the continuous monitoring
system installed at the offices of the Sidney R Frankl~ Group
- 2 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORTbull GOLETA CALIF 93017
The system consists of a 20 DB gain antenna specifically
designed for the Channel 10 frequency band a television
receiver and a matched Leeds amp Northrup Speedomax H 8nalop
recorueru Calibrations were made periodiLlly with a Sencore
FS 134 Field Strength Meter The desirability of having a
continuous monitoring system instead of spot samples at specishy
fic times was further substantiated when it became necessary
to synchronize the irregular timing of the tAX (Los Angeles
International Airport) NTD (Pt Mugu) and NSl (San Nicholas
Island) radiosondes for measured INVERSION BASE luUGHTS with
SIGNAL STRENGTH data It can be seen from the radiosonde
location map Figure 1 that the two stations closest to the
beam path are NTD and LAX wtth LAX being the closest to midshy
point between SBA (Santa Parbara Airport Goleta) and the
Channel 10 transmitter Hence the first testing of the
technique was scheduled to involve correlations of signal
strength with the LAX inversion base he~ght Actual correlashy
tion calculations 1rere deferred until an adequate sample size
11las obtained By the end of 1971 it was evident that highly
useful data had been obta1ned during th11 period of August 25
through November 30 1971 Consequently Progress Beport 2
and the subsequent reports documented the results obtained
throughout 1972 in a manner similar to that of the original
periods analysis These will be presented in Section 20
as the Fourth Quarterly Progress Report
- 3 -
pound10NfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
12 Phase 11wo - Atmospheric ductlnp of radar sipnals emanaLin11- from the NWS WSR57 radar located at Sacramento CnUforn1n
To determine the optimum period for tPstinp the Remote Serrntng
Technique 1n the Sacramento Valley a stu~y was initiated of
film made of the Sacramento NWS WSR57 -3darmiddot scope during the
period July 1964 to aY 1968 The reason f)I using this parshy
ticular period was that the film consisted of a continuous
series of individual frames exposed at a rate of nominally one
every 15 minutes The hypothesis leading to the study was tmt
~nomalous fropagation (AP) recognizable on the cope ap an
anomalous ground return area would occur under atmospheric
conditions identical to those causing ducting and hence
would involve the same parameters as those defining inversions
The results of the study from June 1966 to May 1968 exceeded
expectations in that not only did a distinct degclimatology by
months emerge but a diurnal climatology as well rhe corresshy
pondence of the monthly AP climatology to the ducting at
Oakland (as defined by the difference in refractive index
between the surface and 1 Km above the surface Figure 2) was
particularly striking since it implied flmilarity of air masses
encompassing the Eay Region and Sacramento Another parameter
the magni tude of the reflected signal measured off Sutter
Buttes Pr was tested to see if it exhibited any monthly or
seasonal variation A similar pattern to that of the AP freshy
quency was found and by making the distinction between Pr
values at times of AP and those times without evidence o AP
- 4 -
SI DNfY R FRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
- 5 -
SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
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0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
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GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
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I
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11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
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PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
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t10 -o2 s ~ Jt J fl ~ l A ~ F fl
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t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
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soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
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D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
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N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
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Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
1 0 lleview
As this Final Heport includes a Fourth Quarter Progress Heport
(an extension of time without additional funds) more data
were acquired and analyzed than originally nticipa ted Hence
while not all schedn1ed areas were examinerl for television
signal ducting as originally planned the use and results
from the unplanned (unscheduled) radar data and the addishy
tional Southern California ducting da ta provided further
documentation of the applicability of atmospher 0 ducting As
will be seen the conclusions reached open an entirely newmiddot
means of providing the Air Pollution Control Officer with real
time atmospheric data wtthout adding significantly to his
operational budget
11 Phase One - Atmospheric ducting of television signals over Southern California Eay between s~n Diego and Santa Barbara
The initial investigation of the program was designed to reshy
examine and quantify the relationship between the strength of
the 19325 MH signal from Channel 10 television station in
San Diego as received at the Santa Parbra Airport Goleta
and the measured inversion base heights as determined by
radiosonde stations located along coastal Southern California
To accomplish this task the SIGNAL STRENGTH values at radioshy
sonde times were extracted from the continuous monitoring
system installed at the offices of the Sidney R Frankl~ Group
- 2 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORTbull GOLETA CALIF 93017
The system consists of a 20 DB gain antenna specifically
designed for the Channel 10 frequency band a television
receiver and a matched Leeds amp Northrup Speedomax H 8nalop
recorueru Calibrations were made periodiLlly with a Sencore
FS 134 Field Strength Meter The desirability of having a
continuous monitoring system instead of spot samples at specishy
fic times was further substantiated when it became necessary
to synchronize the irregular timing of the tAX (Los Angeles
International Airport) NTD (Pt Mugu) and NSl (San Nicholas
Island) radiosondes for measured INVERSION BASE luUGHTS with
SIGNAL STRENGTH data It can be seen from the radiosonde
location map Figure 1 that the two stations closest to the
beam path are NTD and LAX wtth LAX being the closest to midshy
point between SBA (Santa Parbara Airport Goleta) and the
Channel 10 transmitter Hence the first testing of the
technique was scheduled to involve correlations of signal
strength with the LAX inversion base he~ght Actual correlashy
tion calculations 1rere deferred until an adequate sample size
11las obtained By the end of 1971 it was evident that highly
useful data had been obta1ned during th11 period of August 25
through November 30 1971 Consequently Progress Beport 2
and the subsequent reports documented the results obtained
throughout 1972 in a manner similar to that of the original
periods analysis These will be presented in Section 20
as the Fourth Quarterly Progress Report
- 3 -
pound10NfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
12 Phase 11wo - Atmospheric ductlnp of radar sipnals emanaLin11- from the NWS WSR57 radar located at Sacramento CnUforn1n
To determine the optimum period for tPstinp the Remote Serrntng
Technique 1n the Sacramento Valley a stu~y was initiated of
film made of the Sacramento NWS WSR57 -3darmiddot scope during the
period July 1964 to aY 1968 The reason f)I using this parshy
ticular period was that the film consisted of a continuous
series of individual frames exposed at a rate of nominally one
every 15 minutes The hypothesis leading to the study was tmt
~nomalous fropagation (AP) recognizable on the cope ap an
anomalous ground return area would occur under atmospheric
conditions identical to those causing ducting and hence
would involve the same parameters as those defining inversions
The results of the study from June 1966 to May 1968 exceeded
expectations in that not only did a distinct degclimatology by
months emerge but a diurnal climatology as well rhe corresshy
pondence of the monthly AP climatology to the ducting at
Oakland (as defined by the difference in refractive index
between the surface and 1 Km above the surface Figure 2) was
particularly striking since it implied flmilarity of air masses
encompassing the Eay Region and Sacramento Another parameter
the magni tude of the reflected signal measured off Sutter
Buttes Pr was tested to see if it exhibited any monthly or
seasonal variation A similar pattern to that of the AP freshy
quency was found and by making the distinction between Pr
values at times of AP and those times without evidence o AP
- 4 -
SI DNfY R FRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
- 5 -
SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
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0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
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GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
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PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
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1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
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)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
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CG 0~
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10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
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1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
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IJ middotr _)
abull bull bull bull bull bull ~ It
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-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
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191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
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- ---I
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0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
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I I I
i I
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I I
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V ~ i-
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N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
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-- --
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Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
The system consists of a 20 DB gain antenna specifically
designed for the Channel 10 frequency band a television
receiver and a matched Leeds amp Northrup Speedomax H 8nalop
recorueru Calibrations were made periodiLlly with a Sencore
FS 134 Field Strength Meter The desirability of having a
continuous monitoring system instead of spot samples at specishy
fic times was further substantiated when it became necessary
to synchronize the irregular timing of the tAX (Los Angeles
International Airport) NTD (Pt Mugu) and NSl (San Nicholas
Island) radiosondes for measured INVERSION BASE luUGHTS with
SIGNAL STRENGTH data It can be seen from the radiosonde
location map Figure 1 that the two stations closest to the
beam path are NTD and LAX wtth LAX being the closest to midshy
point between SBA (Santa Parbara Airport Goleta) and the
Channel 10 transmitter Hence the first testing of the
technique was scheduled to involve correlations of signal
strength with the LAX inversion base he~ght Actual correlashy
tion calculations 1rere deferred until an adequate sample size
11las obtained By the end of 1971 it was evident that highly
useful data had been obta1ned during th11 period of August 25
through November 30 1971 Consequently Progress Beport 2
and the subsequent reports documented the results obtained
throughout 1972 in a manner similar to that of the original
periods analysis These will be presented in Section 20
as the Fourth Quarterly Progress Report
- 3 -
pound10NfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
12 Phase 11wo - Atmospheric ductlnp of radar sipnals emanaLin11- from the NWS WSR57 radar located at Sacramento CnUforn1n
To determine the optimum period for tPstinp the Remote Serrntng
Technique 1n the Sacramento Valley a stu~y was initiated of
film made of the Sacramento NWS WSR57 -3darmiddot scope during the
period July 1964 to aY 1968 The reason f)I using this parshy
ticular period was that the film consisted of a continuous
series of individual frames exposed at a rate of nominally one
every 15 minutes The hypothesis leading to the study was tmt
~nomalous fropagation (AP) recognizable on the cope ap an
anomalous ground return area would occur under atmospheric
conditions identical to those causing ducting and hence
would involve the same parameters as those defining inversions
The results of the study from June 1966 to May 1968 exceeded
expectations in that not only did a distinct degclimatology by
months emerge but a diurnal climatology as well rhe corresshy
pondence of the monthly AP climatology to the ducting at
Oakland (as defined by the difference in refractive index
between the surface and 1 Km above the surface Figure 2) was
particularly striking since it implied flmilarity of air masses
encompassing the Eay Region and Sacramento Another parameter
the magni tude of the reflected signal measured off Sutter
Buttes Pr was tested to see if it exhibited any monthly or
seasonal variation A similar pattern to that of the AP freshy
quency was found and by making the distinction between Pr
values at times of AP and those times without evidence o AP
- 4 -
SI DNfY R FRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
- 5 -
SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
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f I I6
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I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
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N
o
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1)
1971
JI
1972
F
~
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f
t i1
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l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
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-
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I
---
I
L~
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l
)--
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pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
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gt
amp-)
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ltt
~
( ~lef
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bull-- M
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z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
12 Phase 11wo - Atmospheric ductlnp of radar sipnals emanaLin11- from the NWS WSR57 radar located at Sacramento CnUforn1n
To determine the optimum period for tPstinp the Remote Serrntng
Technique 1n the Sacramento Valley a stu~y was initiated of
film made of the Sacramento NWS WSR57 -3darmiddot scope during the
period July 1964 to aY 1968 The reason f)I using this parshy
ticular period was that the film consisted of a continuous
series of individual frames exposed at a rate of nominally one
every 15 minutes The hypothesis leading to the study was tmt
~nomalous fropagation (AP) recognizable on the cope ap an
anomalous ground return area would occur under atmospheric
conditions identical to those causing ducting and hence
would involve the same parameters as those defining inversions
The results of the study from June 1966 to May 1968 exceeded
expectations in that not only did a distinct degclimatology by
months emerge but a diurnal climatology as well rhe corresshy
pondence of the monthly AP climatology to the ducting at
Oakland (as defined by the difference in refractive index
between the surface and 1 Km above the surface Figure 2) was
particularly striking since it implied flmilarity of air masses
encompassing the Eay Region and Sacramento Another parameter
the magni tude of the reflected signal measured off Sutter
Buttes Pr was tested to see if it exhibited any monthly or
seasonal variation A similar pattern to that of the AP freshy
quency was found and by making the distinction between Pr
values at times of AP and those times without evidence o AP
- 4 -
SI DNfY R FRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
- 5 -
SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
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f I I6
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I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
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bull
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1971
JI
1972
F
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-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
the curves assume an identical phase relationship Considershy
inp that only one measurement per oay was made ( between 0000
and OJOO) ~ it provided addi tional quali titl ve support to the
basic hypothesis
A frame by frame en nation of the radar 2c0pe film for evishy
dence of Anomalous Propagation using a counting procedure of q
calling any portion of an hour wt th AP an AP hour produced
a finite seasonal and diurnal variation A reduction to a
percentage of total hours in each month and plot~ed on axes
24 hour by serial month (from June 1965 through May 1968)
produced the patterns as shown on Pigures 3 and 4 Of note
are the late summer high percentage values and the consistent
few (or no) early afternoon occurrences of AP The relatively
high values of April 1968 is in direct contrast wtth that of
April 1967 emphasizing the fact that the AP middotoeing a function
of the ducting characteristics of the atmosphere is subject
to the natural variability of those characteristics
A composite was made of the analyzed 35 years January 1965
through May 1968 Figure 5 shows this composite by months and
hours As expected the August maximum remained as the domishy
nant feature and the Summer-Fall pattern extended to the AM
hours reflecting the April 1968 high values
Referring back to Figure 2 (a) the composite by months shows
three curvess the average percentage hoursmonth of AP the
OAK 6 year average of refractive index gradient between surface
- 5 -
SIONfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
I
signal strength data and additional correlations of inversion
base heights with signal strength That made possi blc analyses
of a complete years data plus an additlonal J month rlata
comor= sing the Fall Quarter of 1972
A review of the total Sacramento AP data coupled with air
quality in terms of monthly oxidant values produced an in-phase
annual trend Those values plus a speci~l test in cooperation
with the Sacramento weather radar team will l~e expanded upon
in Section 22
21 Phase One - Atmospheric ducting of television signals SAN to SBA
1Ihe main thrust in acquiring additional signal strength da ta
was to complete a full years test of the basic hypothesis
The Supplement to Progress Report 2 completed the seasonal
analysis of the diurnal variation of sigrn=ll strength JOO uV
through May 1972 as can be seen in Figures 6 7 8 and 9
middotrhe number JOO mlcrovol ts was chosen As a limiting factor
in the correlation calculations since any higher value of
signal strength indicated an average inversion base of less
than 1000 feet ( see correlation chart Fmiddot1gure 10) o
rrhe addi tional data was used to produce Figure 11 the Summer
of 1972 which again showed the highest frequency of low
inversions at midday - al though the high frequency began earlier
in the day than during other seasons rhe J months rolling
mean of the yearly composite Figure 12 covering the period
- 7 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
25 August 1971 to Jl August 1972 differs from the three season
composite Figure 9 by the increased frequency of low invershy
sions earlier in the day as would be exp~cted by the Summer
192 addition
Time permitted calculations of the Fall 1972 diurnal frequency
as shown in Ftgure 13 The major difference between that anc1
the Fall 1971 dJ stri bution was the high frequency of low
inversions in the evening Here again we see evidence of
the variability from year to year of a meteoro_)gical parameter
basic to ambient air pollution concentrations ca1culations
Another means of showing the yearly and monthly variability of
meteorological rarameters is by plotting correlation coeffishy
cients of signal strength vs inversion 1ase heights It was
shown in earlier reports that the correlations were highest
during summer and early fall With the subsi11ence inversion
extending over the entire southern California Eay the fairly
uniform distribution of the ducting pa1middotameters along the beam
path during that period would account for the higher correlashy
tion coefficients while the discontinuities of these parameters
along the beam paths during winter and aarly spring would be
ample cause for lower correlation coefficients Accordingly
the monthly values were plotted with the correlation coeffishy
cients derived in terms of the log signal strength vs log
inversion base heights for LAX Figure 14 Pt Mugu NTD
Figure 15 for the average of the two (when the RAOBs were
- 8 -
SIDNfY R fRANt GROUP1500 CECIL COOK Plbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
taken simultaneously) Figure 16 and finally a comparative
of the J month rolling mean Figure 17
Examining the four charts in order we seE that Figures 1L1-
15 and 16 show the monthly curves in phase ~with the one
exception that LAX roq a June maximum instead of May) but
differing in amplitude On the other hand the LAX calculashy
tions were made with a larger number of samples N thereby
providing a somewhat higher confidence level rhe relatively
high values of correlation coefficient in Januar r 1972 for
both LAX and NTD can be ascribed to the fact that no storms
passed through the area during that month and hence the domishy
nant meteorological situation was that of extended periods of
high pressure cells and their corresponding subsidence invershy
sions rrhe comparison of J month rolling means Figure 17
is interesting in that the minimum indicated rt LAX in Novemshy
ber 1971 is di splaced to February 1972 for the average
LAX+ NTD and to March 1972 for NTD Essentially the
displacement is due to the relatively small sample size and
the fact that the RAOBs at both LAX and NTD represent singular
points in time and place whereas the si 6nal received at the
Santa Earbara Airport represents a mean of the entire beam
path The fact that the highest correlations exist during
the smog season actually provides a measure of confidence in
the concept that RAOBs during the smog season can be considered
representative of a greater area than the singular point in
(
- 9 -
SIDNtY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
space (though not of course for a greater period than the
singular point in time)
From Progress Report 2 a sample of the enalog trace recorded
on August 26 1971 from 1400 - 1600 PDT ~ows an irregular
trace The interpretation of that trace was that the inversion
surface itself was irregular and that the undulations were
reflected in the trace as the inversion surface moved across
the beam path Another possibility is that th~ inversion
surface was stationary and the undulations were ~ue to wave
action along the surface In either case the hiLh corrf~lnshy
tions that were obtained conceivably would Lnvc been even
higher had it been possible to run continual measurements of
the inversion surface at the half-way point
( 2 11 Conclusions
It has been illustrated by measurements throughout a full
years period that the strength of a television signal measshy
ured at a trans-horizon point constitutes a relative measure
of the height of the temperatur8 inversion base Although it
is known that the ducting is a function of both temperature
inversions and moisture discontinuities the fact that correshy
lations exist wibullh temperature inversions alone is probably
due to the way in which the RA0Bs are interpreted In actual
RAOB practice the point at which the temperature inversion
begins is normally considered by the technicians as the same
point at which the moisture discontinuity ls placed eiren
(
- 10 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
though they are not measured simultaneously Hence our
attempts at correlating signal strength and large changes in
the verti cal di stri but ion of refractive hd ex ( D N ---- 4 5)
provided no better correlation coeffic) nts ~han that with
temperature inversil alone It would be o-- great interest
to test the signal strength versus the refractive index ~
change say with instrumented aircraft) as it would have
greater meaning in terms of mixing depth Previous investishy
gations (Edinger et al) have shown the penetr tion of
moisture through the temperature inversion and hence the
possibility of penetration by pollutants by the same mechanism
However since all mathematical models assume the mixing depth
is equivalent to the height of the base of the temperature
inversion alone we suggest that since the signal strength
equivalent of mixing depth is protably more r~presentative
of actual mixing depth than that measured from the RAOBs
the signal strength equivalent be tested as the mixing depth
in-put for concentration calculations
22 Phase Two - Analysis of radarscope film~ from the NWS WSR57 weather radar at Sacramento
With the highly eYcouraging results of the analysis of 35
years of radar films it was decided to test the results by
operating the radar at the same specific times as the aircraft
soundings (APOBs) currently being flown twice daily at Sacrashy
mento Mr Roger Pappas chief weather radar operator agreed
(
- 11 -
SI DNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
to make the tests during ~June and Au~ust 1972 1rhe tests
o0consisted of operating the radar at elevation filming Lhe
radarscope and measuring the reflected power from Sutter
Buttes and Mt Tamalpais at 0400 and 1400 the APOB tirnes
Following the same analytical technique of middotthe J 5 year analshy
ysis the percentage of the hou~s of the month that AP was
noted for each specific hour was tabulated ari the results
plotted on Figure 19 (from Figure 2 Progress Heport J) It
can be seen that the results of the test fall cl)sely within
the i so-percentage line climatology of AP as derived from
the June 1966 - May 1968 radarscope films The deviation of
the 1972 0400 point from the actual value of the August J
line is due of course to the difference in meteorological
conditions but the fact that the values were remarkably close
during the height of the smog season lends strong support to
the use of this technique as a valuable tool for the Air Pollushy
tion Control Officer
The attempt at quantification of inversion heights versus AP
by timing the radar tests with the APOB~ was unsuccessful due
to crudeness of the APOB data It was hoped that actual
inversion base ht~ights would be defined by the APOBs Instead
as the APOBs read the outside air temperature at every 500
foot interval it was impossible to know the height of the
inversion base with any exactitude What is really needed is
a RAOB in association with the radar - even with the inherent
- 12 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
errors of the RAOB it would provide useable data for correshy
lation calculations If aircraft is to be used it should be
instrumented to provide continuous measurements of temperature
and mc~sture andor refractive index As ~es~ribed in 211
the vertical distribution of refractive index would provide the
optimum data for correlation with ducting effects on signal
strength Since AP is also a f~nction of vertical distribution
of refractive index an interesting and valua le study could
be made using aircraft so instrumented during r~riods of AP
221 Conclusion
At the very least the occurrence of AP on any radarscope is
an indication of a low level inversion This type of informashy
tion provides the Air Pollution Control Officer continuous
information as to the existence of inversion over hundreds of
square miles surrounding his area of interes~ Considerin~
that most large cities have radars at their airports it is
feasible to consider incorporating AP information as an input
to APCD offices In that way the existence of inversions
would be instantly known to the Control Officer Even in a
qualitative sense such information becomes a real time
economical area~ coverage of one of the 1asic parameters in
air pollution concentration calculations - the mixing depth
When maajuanti tative the i nforma tion would be invaluable
30 Summary
Over the contract period it has been shown that the duc+ing
- 13 -
SIDNfY R fRANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
of electromagnetic signals by large vertical changes 1n the
refractive index ( 6 N middot~ 4 5) can be used in the calculations
of mixing depth Using both active (radar) and passive (receiver
only) electronic instrumentation we have -~Pcn able to establish
statistical relationships between thickness of the surface
based ducting layer and the mixing depth In the passive case
the strength of a trans-horizon television signal it was
possible to obtain relatively high correlatior values between
the signal strength and height of the base oft e temperature
inversion As explained above the signal strengh is probably
a better indicator of true mixing depth than the case of the
temperature inversion since it reflects sharp vertical changes
of both temperature and moisture Hence the correlation
coefficients would actually be higher if the refractive indiees
could be obtained along the beam pa th
In the active case radarscope indications of Anon1llous
Propagation the same basic premise holds - namely that
sharp vertical changes in refractive index will be indicated
by greater reflected signal from greater -istances than at
times of normal lapse rate of refractive index While it
1111as possible to qualitatively identify the smog season by the
percentage of the months exhibiting AP it was suggested that
a progra~ be initiated wherein quantitative evaluations could
be made of true mixing depth and used as inputs in mathe mati c_il
models of transport and diffusion
- 14 -
SIONfY ft fflANfrac12 GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
In our analyses of ducting throughout the year it was found
that the strngest values occurred during the same periods
that maximum oxidant values were fourd both in the South
Coast Pnc n and Sacramento As mixing depth is a prime paramshy
eter in all concentration calculations this was no surprise
but it was interest Jg to see the extent tc ~lhi ch a single
meteorological parameter apparently influences the ambient air
quality values Figure 20 shows a plot of pei-cent of total
possible hours of AP versus monthly averages of daily maximum
hours of oxidant at the 13th and J air quality sGation in
Sacramento The two curves are in phase giving a correlation
coefficient of 079 It does seem that the quantification of
mixing depth plus the transport and diffusion data would proshy
vide the Air Pollution Control Officer with practically all
he would need for his atmospheric monitoring
In a similar manner except that we used the maximum hourly
oxidant values from the entire south Coast ampsin instead of a
single station a plot was made of the maximum signal strength
versus the maximum oxidant value Figure 21 shows the two
curves generally in phase giving a slightly lower correlation
coefficient of 070 Here again we note ~he importance of the
single meteorological parameter in the total air quality conshy
centration calculations Since middotwe had quantitative values of
mixing depth from our signal strength calibrations we were able
to run correlations between the signal strength and Besin
oxidant maximum (as well as calculated afternoon maximum
- 15 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
mixing depth from the 0600 RAOB) and noted the annual trend by
plotting monthly valueso Figure 22 shows the maximum correlashy
tion coefficients during the smog season with the signal
strength values as indicated proving +o be more highly
correlated than the cilculated maximum inver3ion base height
In conclusion then it has been shown that highly useful
meteorological information can be derived fro1n electromagnetic
ducting effects of the atmosphere The application of this
information to air pollution control has been ammiddot)ly demonstrashy
ted throughout the contract period It is there fore re comshy
mended in fact urged that the techniques descrl bed undergo
the refinements in calibration as suggested but pending
that that the basic techniques be implemented in other Basins
in California
- 16 -
SIDNfY R fRANfrac12 bROUP1500 CECIL COOK PL bull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
~
~1
-)) ~-J
I I
0
middot--middot-- ---- middot--middot---middot ---middot-middot--
(l
- ____________ _ - -- - -
I
GROUP1500 CECIL COOK PLbull SANTA BARBARA AIRPORT bull GOLETA CALIF 93017
Figure 1
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
i i___
I - AP of total monthly hoursmiddot I ---- OAK - ~ N (lKm - sfc)
I i --- (Pr) wDuct - (Pr) woDuct 70
I I Summation 1 Jan 1965 - 31 Y~y 1968
I _ A (
1middot I gtabull 66 I i t
40t I L I I
lbull iI f 11 I I bull ~
z I I IJI I (J I 30
i j I I i i i
50 i i I ~
bull I
20I j--- V ~ Y
I V --t __ I
bull I l I middotO
I i i 10 i-~ I I I)= I ~ 1 (t) l i40 () 1
J A M J J A i 0F M
s bf N D 00 02 04 06 08 10 12 14 16 18 20 II
(a) t middot18- (b)
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
- -
~~
i I 2 1
~~ I j02 I
103 2 Ol+
05 206 07
21 1 2 2 _2 3 3 2 1 1 1 1 2 2 l
I )) )jJ
f
n I d ( l _
ru~ I f
( 0 081~ 09 l ~~ j ~
10 l
l
11
I bull12 Imiddotbullmiddotbullbull13 14 I 1 15 ~ ~ 16
18 19 20
17
2~ n~r -~~21 ) L~2middot22 23 jl
j J F M A M J J A s 0 N D J F M A V J i-
~ Ci)
J
1965 1966
DUCTING OCCURRENCE - Percent of Total Monthl~- Hours
-19-
1
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
L_
1 11 1 - 2 3 ) 2 1
00 1 01
l I l ~ I f I 4 I I
02 03 t ti t I -_ -04
t li~U middot~~1Jj V
(~_2
Io09
I
10-
11 12 13 ~ _ 1 14 15 16 17 18 19 ---__ ~o 21 )~ I ) l 22 ltj23 _ j~ 32~ 1 1 l i- 2 l 3
~ D J F M A MM M J J A s 0 N rs J )
J A s 0 N I) I J F A (1) 19681966 1967 I ~
DUCTING OCCURRENCE - Percent of Total Monthly Hours
-20-
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
1 ~ 2 1 00
J01 [
02 03 1 Ol
t05 i I
06 j
07 08 i 09 10 11 12 13 14 15 16
i 17 18 19 20 21 22 23
~-
l VI
I
r
1
~ I
I1 1 _Jmiddot 3middot cli
-
J F M A M J J A s 0 Nmiddot D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Perlcd Jan 1965 - May 1968
p-
Figure 5
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
-_
14
1 Dec 71 - 29 Feb 72Winter - Freq (Y~x Sig strength) )OOJlV) -- 3 mo rolling mean of ( bull )
I J l--1
18
-23-242220
12
10
8
6
4
gt-rj 1--
~ t-i (t)
2 -J
I--
J ~--~J I
I I I
08 16141210PST
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
n
-24-
Spring 1 March 72 - 31 tay 72
- Freq (lfax Sig Strength ) JOO )lV)-- 3 mo rolling mean ( bull )
12
10
rl--
Tj-s ~
)
i--
I 1
I t8 I I I I l I t
6 I I -1 l l l
4
2
r---1
PST I 08 I10 12 14 I15 I
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
_j___
=-
composite Fall Winter spring 25 Aug 71 - )1 MaY 72
- Freq (fax Sig strength))OO microV) -- 3 mo rolling mean middott )
12
10
8
V 5 I I
V v
I
I I
4
J
f -j j~
sect ri (1) 2 C) 24 - 2s-
2220181614121008PST
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
RELATIONSHIP OF SIGNAL STRENGlH Ar SANrA lAHBABA TO AVERAGE INVERSION PASE HEIGIPl (NlD + LAX)
Average Inversion Ease Height (WlD + LAX) Feet MSL x = August 25 - September 30 1971 reg ~--- Octoher 19-71
amp November 1971 -26-
Figure 10
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
2j I-
~ 11 ()
12
10
8
6
4
2
I
I
Summer 1 Jun 72
_Freq (Max __ 3 mo rolling mean
- 31 Aug 72
Sig strengthgt 300 microv) ( )
shy~
PST 08 10 12 14 16 18 20 22 24
-27-
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
L
70 Annual 25 Aug 71 - Jl Aug 72 12 Freq (Max Sig Strengthgt 300 microv)
3 mo rolling mean ( )
10
8
6
4
2
~ ~ ~ CD
I-- N
PST 08 10 12 14 16 18 20 22 24
-28-
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
-1 -
~
Fall 1 Sept 72 - JO Nov 72 CJ l CJJ frac12
I j bull bull 12 Freq (Maxo Sig Strengthco ll) lrj
~1-I- - gt JOO microV)
-- 3 IDOo rolling L3an ( Jf
fJlf 1 )
I 10
I
I I middotJ
( I 1 II
I I I8 I I I
I
I f I I
I
I I
f I I6
I
I
4
2 rj i- I ~ I _r-i i I ---
CD i l- J ~
PST 08 10 12 14 16 18 20 22 24
-29-
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
~r ~ _
_L
1 tton coefficients
V-rsiOU cese nel-o t~lv TrenO ofOU bull corre ~ o-ht
) mo ro11inF~~olt si~ne-1 v-s- 105 in u -r 10 mtcrov - ------ r~----- ~ middot-bull
bull r
e~n)
co-i--re1 middot coefbull
u1-
-1middot0
bull
_o8 -
N
o
zo
_o6
-0 1
I I
I I
I I
1-rj ~
i Ct)
~ ~
10 -0 2
0
s 0
u
1)
1971
JI
1972
F
~
-30-
f
t i1
J
l J
fgt
5
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
)--
~onthlY Trend of correlation coefficients
correl coef
-1 0
_Q8 I
N
_Q630
_Q420
-0210
~ ~
CG 0~
(i)
~ J
10g micro~olt signal ~s 10g in~ersion 00se neight t3 reo-rollin5 me~n)----- rmiddot------ T3 - N
NTD
4-I - - I I
I I
-
~ Jigt bullbullbullbullbullbull
I
---
I
L~
I s
AJ
JM
t A1-1
I D JI N _3-0s 1971 1972
l
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
)--
~ 0oefftc1ents
pnO of correl0-t~on v bull tonthlY lr-bull 00se neightoP 1nvers1on () ~o ro11tng me~n)
1 ~91 7S bull ___~ ______ rsbull c ~1o 1t sJtibull ------ r
10g mi ~ 0 _ Lly amp 111D -- 11
car-re1 middot coef
-lbullO
-
IJ middotr _)
abull bull bull bull bull bull ~ It
_
_~ I
I I
I I_Q8
I ~I I
I IN
_Q6 30
-04-20
t10 -o2 s ~ Jt J fl ~ l A ~ F fl
0 t D J 11
i ~
t -32-
t-gt 0 O s 1971 1972
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
Monthly Trend of Correlation Coefficients
log microvolt signal vs log inversion case height
Correl Coef
-10
J mo rolling mean (r3) LAX amp NTD
ux NTD
middot-o 8
-06 _
--- middot - ---
~-
-04
______1
- ___ _
-02
~-~ ~ D
J
0
I s
I 0
I l Ii I I I
191 192 I F
-3-3-middot
I M
I A M
t J
t J
I A s
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
soo CECIL COOK Plbull SANTA bARBARA AIRPORT bull GOLETA CALIF 9307
-34-
SIDNEY R fRANg GROUP F1 siure 18
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
bull bull bull bull bull bull
1 -1 2 13 t
02~~) 03 04 05 06 07 08 09 10 11 12
l
13 14 middot 01 middot+ 0 middot+ 0 15 16 17 18 19 20 21 22 23
1 0 J F M A M J J A s 0 N D
DUCTING OCCURRENCE Percent of Total Monthly Hours
Average of Period June 1966 - May 1968
1
-35-
Figure 19
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
------_
--- -
PPM t
0 10
60
50
I I
I
I
AP vr o40
- I
I I
I I
- ---I
L
I I
I
- - i
3 Cor Coef r = 079
30
--7
- - -1
005 20
I Ir I
10 I ___
~ I ---f-lo v
~ ~ a
l)
0 J J A s 0 N DI J F M A M J J1966 1967 A s 0 N F
D I J M A K Monthly of Total Possible Monthly Hours of Anomalous Propagation 1968
Monthly Average of Daily Maximum Hour of 03 at 1Jth amp J Sacramento-36-
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
-- Nu Li
PJlI
bull30 60
Signal Strength v -- J OJ 50
Cor Coef r = O 70
20 40 I
I I
I
I
30 I
I I I
i I
10 20 I I I I
I I
I10 v
V ~ i-
~ ~ li ~
N J F M A M J J A s 0s 0 N D
19721971 Monthly Average of Daily Maximum Signal strength_
Monthly Average of south Coast Basin Daily Maximum Oxidant -7-
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB
------
0
------------ --
-- --
_
~ raquo ~
~ IS-f I
fl-) s H +- tr~ U) s Q) ~ H aS +gt ~ ti)
0 bO r-1
~6 t1D n II II II Cl)
gt
amp-)
~
ltt
~
( ~lef
I co
bull-- M
I
~)
z
_ 0
t C N 0F-i
0 0 0 0 0 0 0
Monthly Correlation Coefficients - LA Basin
3-Month Rolling Mean 1 Sep 71 - 31 Oct 72
03 Daily Max vs Signal Strength o3 Daily Max vs Cale Max HIB