SFO APPROACH FOG STUDY 07-09 Noel Keene ZOA CWSU Fremont, CA.
-
Upload
amanda-carr -
Category
Documents
-
view
216 -
download
1
Transcript of SFO APPROACH FOG STUDY 07-09 Noel Keene ZOA CWSU Fremont, CA.
SFO APPROACH FOG STUDY07-09
Noel KeeneZOA CWSU
Fremont, CA
SFO APPROACH FOG STUDY07-09
• Reason for study:– Fog causes significant air traffic impacts at San
Francisco International Airport(SFO)– Fog is difficult to forecast
• Overforecast by models• CWSU often forecasts earlier clearing than actual
– Scenario for fog likely follows a pattern– Increased lead-time for fog events and better
accuracy for total clearing will benefit air traffic operations
Data
• Analyzed fall/winter data for 2007/2008 and 2008/2009
• Parsed out days where 12Z 500mb height was greater than 5690DM and 12Z SFO-SAC pressure gradient > -1mb and < +1mb– All non-frontal fog events occurred in these
conditions– Wanted to evaluate conditions affecting fog other
than the typical light winds and high pressure
Data
• 67 days met initial criteria– 11 fog events– 56 mornings with no fog
• Fog event considered to occur when visibility <1SM affected SFO approach zone– Did not use 5/8SM because archived SMB
observations do not indicate visibilities <1SM
Data
• Evaluated several elements– 12Z OAK 500mb height– Onshore pressure gradient (SFO-SAC)– Offshore gradients (SFO-ACV and SFO-TVL)– 10Z dewpoint at SFO approach zone (SMB)– 12Z OAK 925mb wind direction and speed– Time that visual approaches occurred at SFO
• Typically SCT or less coverage of clds of below 3500ft• Typically visibility > 3sm
– Forecaster notes taken day of event
Findings
• Clearing time later than expected• Some correlation between fog occurrence
and:– 10Z SMB Dewpoint– 12Z OAK 925mb wind direction
• Weaker correlation between fog occurrence and:– 12Z SFO-ACV gradient– 12Z SFO-TVL gradient
Findings
• Many variables contribute to fog formation over Bay Area– Therefore…correlations for single variables are
low• Multiple Linear Regression using both 10Z
dewpoint and H9 Wind Direction from 180 yielded higher R values
• Graphical representation yields some insight into important parameters that contribute to fog formation
Clearing Time
• When fog occurred…airport arrival rate never reached optimum(45/60) before 18Z
• Average clearing time 21:31• Two all-day events where fog transitioned to
low ceilings
Clearing TimeTime When Visual Approaches Occurred at SFO
0:00:00
2:24:00
4:48:00
7:12:00
9:36:00
12:00:00
14:24:00
16:48:00
19:12:00
21:36:00
24:00:00
26:24:00
9/25/070:00
11/14/070:00
1/3/080:00
2/22/080:00
4/12/080:00
6/1/080:00
7/21/080:00
9/9/080:00
10/29/080:00
12/18/080:00
2/6/090:00
Date
Tim
e(G
MT
)
Avg
10Z SMB Dewpoint Correlation
• Correlation between 10Z SMB Dewpoint and Fog Occurrence at SMB– 0.26
• Dewpoint values for fog occurrence– Average…………………..46.8– Standard Deviation….2.1
• Dewpoint values for mornings with no fog– Average…………………..43.4– Standard Deviation….5.0
10Z SMB Dewpoint Correlation10Z SMB Dewpoint
0
10
20
30
40
50
60
9/25/070:00
11/14/070:00
1/3/08 0:00 2/22/080:00
4/12/080:00
6/1/08 0:00 7/21/080:00
9/9/08 0:00 10/29/080:00
12/18/080:00
2/6/09 0:00
Date
Dew
po
int(
F)
No Fog
Fog
Avg
12Z OAK 925mb Wind Direction
• Subtracted 180 from H9 winds and took absolute value– Larger numbers represent more northerly winds
• Correlation between H9 wind direction and fog occurrence at SMB– 0.20
• H9 wind (FM 180) direction values for fog occurrence– Average…………………..147– Standard Deviation….35
• H9 wind (FM 180) direction values for mornings with no fog– Average…………………..124– Standard Deviation….45
12Z OAK 925mb Wind Direction
925mb Wind Direction From 180
0
20
40
60
80
100
120
140
160
180
200
8/6/07 0:00 11/14/070:00
2/22/080:00
6/1/08 0:00 9/9/08 0:00 12/18/080:00
3/28/090:00
Date
Ab
s(18
0-H
9 W
ind
Dir
)
No Fog
Fog
Avg
Multiple Linear RegressionSUMMARY OUTPUT
Regression StatisticsMultiple R 0.3835931R Square 0.1471437Adjusted R Square 0.1204919Standard Error 0.3500265Observations 67
ANOVAdf SS MS F Significance F
Regression 2 1.352843591 0.676422 5.520975 0.006138Residual 64 7.841186259 0.122519Total 66 9.194029851
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%Intercept -1.3045508 0.460550877 -2.832588 0.006167 -2.224607 -0.384495 -2.224607 -0.384495Dewpoint Temp 0.0263832 0.009263159 2.848189 0.005906 0.0078779 0.044889 0.00787794 0.0448885H9 WndDirFm180 0.0024207 0.00100169 2.416601 0.018528 0.0004196 0.004422 0.00041958 0.0044218
• Low P-Value and Significance F– Indicates both variables (dwpt and wind dir) have some effect on
outcome (if fog occurs or not)• Still fairly low correlation (multiple R)
– Indicates that using only dewpoint and wind dir to forecast fog would likely yield poor results…this is fairly obvious
Northerly Flow
SFO APPROACH
• Northerly flow is only direction where no nearby downsloping will occur
• Source region of northerly flow is North Bay Valleys– Average lower
minimum temperatures
– SF Bay can achieve saturation more readily
Conclusions• Preconditions for fog during recent fall/winter seasons at SFO approach
have been:– H5 Hgt > 5690DM– SFO-SAC pressure gradient < 1mb and > -1mb
• Northerly flow enhances fog formation– Negative SFO-ACV pressure gradient– Significant northerly component to wind at 925mb
• High dewpoint temp increases chance for fog formation– Fog did not form when 10Z dewpoint temp < 45F– SF Bay does not cool as readily as inland valleys so higher dewpoint is
needed• Keying in on secondary elements that aid in fog formation should
provide better lead-time for fog events• On fog event days…clearing at SFO approach not likely before 20Z