Radar Detection of Shallow Weather and Orographic Phenomena Paul Joe MSC Basic Radar 2010 20100404.
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Transcript of Radar Detection of Shallow Weather and Orographic Phenomena Paul Joe MSC Basic Radar 2010 20100404.
Radar Detection of Shallow Weather and Orographic Phenomena
Paul Joe
MSC Basic Radar 2010
20100404
1. This module briefly explores “radar meteorology” issues of low level weather detection in a generic way.
2. Radar meteorology in complex terrain
Module Objective
Outline
• Some “back of envelope calculations” of key elements– Typical reflectivities of rain, drizzle, fog, snow
(detection issue)– Beam height (detection issue)– Beam width (quantitative and detection issues)– Sensitivity (detection issue)
• Meteorology– Drizzle– Lake Effect Snow– Orographic Precipitation
Low Level Phenomena Detectable by Radar
• Meteorological Targets– Precipitation (Rain, Snow, Hail, Drizzle)– Lake Breezes, Convergence Lines, Gust
fronts, cold pools– Index of Refraction/Humidity– Turbulence (Bragg scattering)
• Ground Clutter (not discussed here)– Building, Mountains, Forests
• Hard Targets (not discussed here)– Wind turbines, Cars, ships, airplanes, space
debris• Biological Targets (not discussed here)
– Insects, birds, bats• Electro-magnetic Targets (not discussed here)
– Other radars, RLANs, Sun, second trip echoes• Other
– Forest fires– Sea Clutter
Romanian Gust Front
General Comments – Low Scanning
• Wide variety of phenomena and intensity of targets– Turbulence (too weak) to Mountains (very intense)– From very weak to very strong (-30 dBZ to 95 dBZ)
• Different Doppler signatures– Some have 0 velocity– Some have aliased velocity (> Nyquist)
• Advanced uses of weather radar– VDRAS – variational doppler radar assimilation system– Refractivity retrieval – use of ground clutter echoes
• Quantitative Precipitation Estimation– Need low level scanning– Accurate at ranges < 80-100km
• Commonality – Limited range! – Low echo strength (generally), Low height of weather, radar
sensitivity is an issue
Drizzle
Some Radar Examples
Drizzle reported in surface observations but no radar echoes.
Drizzle in surface observationsBUT NO/Little RADAR DATA
Germany Example 1
Lang, DWD
Drizzle (mm/h) and very fewechoes
Germany Example 2
Lang, DWD
Drizzle in Finland!
Saltikoff, FMI
1. Why was drizzle observed in Finland but not Germany?
2. Why is the drizzle observed only around the radar?
3. Why is the reflectivity pattern stronger near the radar and decreases away from the radar?
4. Why is there a range limit to see drizzle?
Minimum Detectable Signal
Concept
Minimum Detectable SignalThe detection threshold (as a function of range).
Range [km]
Ref
lect
ivit
y [d
BZ
]
Probability Distribution of Reflectivity with Range (not important for this discussion). Function of Wx.
Minimum Detectable Signal (constant power)
P = C Z r2
The Radar Equation
MDS can expressed as a noise temperature or a power measurement but for meteorologist it more useful to express as reflectivity at a particular range. Typically, -1 dBZ at 50 km.
Some Radar Considerations
P = C Z r2
P = power, C = radar constant, r = range
Z = N D6
[Z] = mm6/m-3
dBZ = 10 log Z
Reflectivity Factor - Linear
Radar Equation and MDS Pmin = C Zmin(r)
r2
• The Radar measures “P” – power received• The Radar Equation converts P to Z for a given
range (r)– Radar Equation accounts for expanding beam
with range (1 /r2)• Sensitivity (or MDS) is a certain power level
– Just above the noise (hsssssss) level – In terms of P (power), it is a constant – In terms of Z (reflectivity), it is a function of
range (1 /r2)• A limitation for long range detection of weak
echoes is the radar sensitivity! – If the reflectivity of the target is below MDS
then the radar does not detect it!– Beware of artificial MDSartificial MDS! The display of the
radar data may be thresholded! Some data may not be displayed!
Range
Pow
er
Range
Ref
lect
ivy
Homework QuestionEcho Power
Size [microns or mm]
Average Intensity [mm/h, cm/h]Or Liquid Water Content [g/m3]
Number of particles in a cubic meter
Calculate Z[mm6/m3]Leave this empty if you wish.
Calculate dBZLeave this empty if you wish.
Fog 0.01mm .1 g/m^3 1x10^8 0.0001 -40
Drizzle 0.1 mm .1 g/m^3 1x10^5 0.1 -10
Rain 1 mm 1 mm/h 100 100 20
A Drizzle CalculationRadius of a drizzle drop ~= 100 microns
Rainrate of drizzle ~= 1 mm/h
Fall speed ~= 1 cm/s
Therefore,
Number of drops ~= 28,000 m^-3
Reflectivity ~= -5 dBZ
Can your radar see drizzle?
How far can you see drizzle from the radar?
So, how far can you see drizzle (-5dBZ)?Or anything else?
P = C Z r2
Minimum Detectable Signal (power)
~ 25km
-5dBZ
Can you see drizzle – part 2?The Artificial MDS Situation
7dBZ
Data in this shaded area is thresholded (not displayed)!
~ 25km
Typical Drizzle reflectivity
Reflectivity vs Range for Constant Power (1/r2)
Where does your radar fit on this diagram?
Typical Radars
Survey Question about your Radars?How well do you know your radars? What is the minimum value that you have seen on your radar and at what range?
dBZ Rainrate 20 km 50 km 100 km 150 km
20 dBZ 0.5 mm/h
15 dBZ 0.3
10 dBZ 0.16
5 dBZ 0.08
0 dBZ 0.03
Put a check in as many boxes as you want!
Are you limited by an artificial MDS?
Beam Propagation Re-visited
Beamheight Considerations
OvershootKey Concept!
0.5oBeam totally overshoots the weather beyond this range! No detection at all!
Shallow Weather
The weather is detected but the beam is not filled beyond this range, so reflectivities are quantitatively underestimated from this range and beyond
Note: the lower the beam the longer the range for detection ability!
Non-uniform beamfilling
Drizzle
Drizzle is due to warm rain process. Slow growth which results in small drops (0.1 mm, 1 mm/h)
Note: Colour scales are different!
dBZ
dBZ
ZDR
Saltikoff, FMI
Drizzle is round!
1 km
Survey: How well do you know your radars?What is the lowest elevation angle of your radars?
Minimum Elevation Angle Please put a check mark in this column
-0.5
-0.3
0.0
0.3
0.5
Summary: Drizzle in Finland!
Saltikoff, FMI
1. Why was drizzle observed in Finland but not Germany? Thresholded!
2. Why is the drizzle observed only around the radar? Sensitivity
3. Why is the reflectivity pattern stronger near the radar and decreases away from the radar? Beamfilling
4. Why is there a range limit to see drizzle? ~80-100km, function of sensitivity, beamfilling, depth of the drizzle!
5-6°C
Drizzle ,,
Unusual widespread drizzle from cloud echoes aloft. At surface only few echoes above 1dBZ. Note: change in threshold for DWD, see more drizzle!
Hamburg
Germany Example 3
Lang, DWD
Major Factors for Detection
• Radar Sensitivity – Target Reflectivity/Radar MDS combination
• Overshoot– Lowest Angle of Radar/Height of weather / Earth
Curvature combination
• Beam filling (quantitative) – Weather is too shallow or too low– Beam is very broad
• Thresholding– Artificial MDS = Minimum Displayed Signal*
FOG
Can the radar see fog?
FogSpecial Cloud/Fog Radar (35 GHz or Ka Band)
Fog has drop sizes from 10 to 30 microns, so very low reflectivities.
An operational radar has a sensitivity as -8 dBZ at 50 km.
What is the controlling factor of detecting fog for this radar?
- Sensitivity? or elevation angle? Or Artificial MDS (color table?)
Drop Size Distributions
dBZ
10 km
Non-operational
Snow
Beamheight Again
Quantitative measurements(Advanced Material)
Partial Beam Filling
Range bins that are partially beamfilled, decreasing reflectivity with range!
0.5 degree
Question: What do you think the reflectivity will look as a function of range?
0.5o
Shallow Weather
Non-uniform beamfilling
dBZ
Range
Vertical Profile of Snow Function of Range
1. Snow originates aloft but grows as it falls.
2. The same vertical profile as observed by radar at increasing range due to beam filling, beam broadening (smoothing) and Earth curvature (can’t see lowest levels)!
Quantitative Impact of Beamfilling
Michelson, SMHI
Note the fall off of values with range.
This is NOT attenuation to which this is commonly attributed.
It is a beam filling effect!
Impact of Beamwidth / Beamfilling30 day Accumulation
Example of the impact of beamwidth or beamfilling on quantitative precipitation estimation. One radar is 0.65o and the rest are 1.1o beamwidth radars. Smaller beamwidth means less beamfilling problems with range and farther quantitative reflectivity information.
0.65o
(no blue)
Patrick, EC
1.0o
(blue)
Applying the Correctionaka Vertical Profile Correction
aka Range Correction
Koistinen, FMI
Orographic
Mountain Top Radars
Germann, MCH
Freezing Level and Mountain Sited Radars
Time-Height TemperatureFreezing Level from Radiosondes
March 2008 Payerne
July 2008 Payerne
Most of the time, the radar sees snow!
Valley Radar
Whistler Mtn
Squamish
Pemberton
Winter Olympic Park
Blackcomb
H99
Distance Range to Terrain VVO
Azimuth
North East South West North
Whistler Squamish Callaghan
Ele
vati
on
An
gle
Snow
Callaghan Whistler Squamish
Whistler Doppler Weather Radar
Another View
VVO
Dave MurrayDownhill Start
What is this?
Would you see it on a mountain top radar?
Blocked flow (downslope winds)means Intenseprecipitation is on the slope and not on mountain peak
Doppler velocity: Blue means air is moving to the left or downslope
Precipitation: the intense precipitation is on the slope.
How many low level jets do you see? Do you see convergence?
Remember RABT = Red Away Blue Toward (except in Switzerland)
Why is there a hole in the data?
Would you see this on a mountain top radar?
Summary
• Shallow Weather– Focus on drizzle as an example to explain
detectability and measurability– Observability is a function of the radar too (MDS,
beamheight, beamwidth)– A few simple but key calculations to explain (not
calibration, not attenuation) – A little insight into “radar meteorology”
• A few case examples– Drizzle, snow, lake effect snow, orographic
Examples of Shallow Weather
Lake Effect Snow
shallow but lots of weather
1/8SM +SN +BLSNPatrick, EC
Morphology of Snowbands Thermal Convergence - Single Band
Development
Morphology of Snowbands Thermal Convergence - Single Band
Development
Morphology of SnowbandsFrictional Convergence - Single Band
Development
Ocean/Lake Effect SnowConceptual Model
Niziol, NWS/COMET
FetchLength of time cold air is over warm water.
Note that small variations in wind direction can result in significant changes in fetch. On Lake Erie for instance, a 230 degree wind has a 130-km fetch, while a 250 degreewind results in a 360-km fetch!
Morphology of Snow Bands
Horizontal Roll Multiple Banding
Single Band
Land Breeze Banding
MesoLow Multi-Lake Banding
The direction of the wind will produce significantly different results from lake to lake depending on the shape and orientation of a
body of water.
Ocean/Lake Effect Snow
Multiple Bands
Multiple Bands
Single Band
Frictional ConvergenceFrictional Convergence
Lake Ontario
Lake Erie
Lake Huron
Georgian Bay
Lake Michigan
Lake Superior
Morphology of Snow Bands Multiple Band - Horizontal Roll Convection
• Counter-rotating vortices in the boundary layer.
• Major axes aligned with the mean boundary layer wind shear vector.
• Wavelength (updraft to updraft) is about three times the height of the Boundary Layer.
Lake effect snowwind from northwest
Velocity Structure
dBZ Vr
Low speeds in the middle of the band indicating low horizontal speeds or convergence
Separated Bands
dBZ Vr
Thermal Convergence
The MesoLowLight Winds
Lake Breeze and Convective Weather
Morning
Mid Afternoon“Pure” LB exampleEnhance convergence
Lake Breeze BoundariesLakeHuron Lake Ontario
LakeSt Clair
Lake Erie
+
+
=
Pure lake breeze
Moderate SW Flow
Lake Breezes
Spring (15 Mar - 15 Jun) Tornado Touchdown Points
… overlaid with boundaries from 31 July 1994 ...
… tornadoes are suppressed in regions where Southwest winds are onshore ...
… and enhanced in regions where lake breeze boundaries often form.
Forecasters use knowledge of lake breeze positions in their severe weather forecast for weak tornadoes
Extremely Shallow Case
3.5
1.5
-0.1
Orographic Precipitation
Rain shadow
Two Conceptual Models of Orographic Precipitation
Medina and Houze, 2003
Stable Case: Blocked Flow from South
North South
ALPS
Precipitation on plains, Italy
Flow is blocked, flow is towards the south
MAP IOP-8 Medina and Houze, 2003
Radial Velocity - Blocked Flow
Medina and Houze, 2003
Unstable Case: Up and Over
Precipitation is on the first range
No blocked flow. Flow is from the south
Medina and Houze, 2003
Radial Velocity – Up and Over
Medina and Houze, 2003
FOEHN, no rain
H3km
The Alps
Lee Side Suppression
Erzgebirge
Ore m
ountains, grey
Doppler
No rain
No rain
1h accumulation
No rain
Accumulations
Wind Drives Precipitation
Germann, MCH