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Dual Polarization
Martin Hagen, Elena Saltikoff
Deutsches Zentrum für Luft- und Raumfahrt (DLR)Oberpfaffenhofen, Germany
Finnish Meteorological Institute (FMI)Helsinki, Finland
Radar course 2010/11, Class room phase 2
Precipitation is directly related to atmospheric motion.
Hydrometeors are displaced Doppler shift of radar waves
Cloud and precipitation particles have different shape, phase, size, and falling behaviour
scattering properties Polarization
Why Doppler and Polarization?
Dynamics and Microphysics of precipitation
Radar course 2010/11, Class room phase 3
Dual Polarization
• Who did work through the pre-reading material?
• Are you ready for a short test?
Radar course 2010/11, Class room phase 4
Usage of dual-polarization
• Survey by Elena
January 2010
• What isyour answer?
What do you think dual-polarization will do for you(one ore more options)?
Better quality of dataBetter rainfall estimations
Better hail detection
Identificat. non-met. echoes
Rain-snow bounda. detect.Particle classification
All of aboveI do not know
31.4%33.3%37.3%
15.7%
31.4%23.5%31.4%35.2%
Radar course 2010/11, Class room phase 5
Usage of dual-polarization
• Survey by Elena
January 2010
• What isyour answer?
Does your institute use or plan to use dual-polarization for operational forecasting?
Which dual-polarization parameters you measure orwill measure (one or more options)?
We already doYes, before 2012
Yes, after 2012No confirmed plans yet
I do not know
ZDRrhoHV
KDPphiDP
LDRNone
I do not know
25.5%13.7%9.8%
11.8%39.2%
20.4%18.4%12.2%16.3%4.1%4.1%
75.5%
Radar course 2010/11, Class room phase 6
1960 1985 1995 2002
Doppler Radar Doppler Radar bistatatic dual-Doppler+Lidar (research) (operational Doppler Radar Assimilation in NWP in Europe)
1976 1986 1990 2004
polarimetric Radar polarimetric Radar polarimetric Radar (research) (operational, without (operational,
(R-Z-ZDR) (R-KDP) substantial success) MeteoFrance)
Polarization and Doppler Radar History
DLRPoldirad
Radar course 2010/11, Class room phase 7
Weather Radarsin Europe
194 weather radars
166 have Doppler
34 have dual- polarization
http://www.knmi.nl/opera
Radar course 2010/11, Class room phase 8
Shape of Falling Raindrops
Raindrops falling with their terminal velocity are oblate due to the air flow from below.
Drops can be described as rotationalellipsoids with the axis a and b
Observations in a vertical wind tunnel
(Pruppacher & Klett)
2.70 mm 3.45 mm 5.30 mm
5.80 mm 7.35 mm 8.00 mm
Radar course 2010/11, Class room phase 9
Internal Motion of Raindrops
Raindrops do oscillate and tumble during fall
• 5 mm raindrop in a vertical wind tunnel (Univ. Mainz)
• Oscillation60 Hz for a5 mm drop
• tumbling
Radar course 2010/11, Class room phase 10
Rain Drop ShapesVarious studies in wind tunnels or observations in free atmosphere.
Parameterization by Pruppacher and Beard (1970):
a/b = 1.03 – 0.062 Deq with Deq in mm
0.5
0.6
0.7
0.8
0.9
0 1 2 3 4 5 6Drop diameter in mm
Axi
s ra
tio
Goddard et al., 1994
1.0
Keenan et al., 1997
Andsager et al., 1999
Kubesh&Beard (1993)Beard et al. (1991)Jones (1959)Sterlyadkin (1988)Chandrasekar et al. (1988)
Beard, 1976Pruppacher &
Beard, 1970
Deq
equivalent volumetric diameter
Radar course 2010/11, Class room phase 11
Polarimetric Radar Observations
• The polarization of an electromagnetic wave is defined by the orientation of the electrical field vector E
• Conventional Doppler radars use horizontal linear polarization only
The orientation of the wave guide at the feed defines the polarization
H
E
Radar course 2010/11, Class room phase 12
Polarimetric Radar Observations
• Modesimultaneous H and V transmit and receive
- simple technical realization
- possible contamination by strong depolarization in melting layer
Rain Graupel Hail
Radar course 2010/11, Class room phase 13
Polarimetric Radar Observations
• Modealternating H and V transmit (pulse to pulse), simultaneous H and V receive
- expensive and sensitive switch
required
- can measure full scattering matrix (research radars)
Rain Graupel Hail
Radar course 2010/11, Class room phase 14
Dual-Polarization Modes
polarization transmit receive
simultaneous transmit and receiveSTAR-mode, hybrid
H
V
H co-polar
V co-polar
alternating from pulse to pulse
1. pulse: H
2. pulse: V
H co-polar
V cross-polar
V co-polar
H cross-polar
fixed
(“LDR-mode”)
H H co-polar
V cross-polar
= 45°
weather services use the STAR mode, some additionally LDR mode
Dual-Polarization Radar Products
- Differential Reflectivity (ZDR)
- Copolar Correlation Coefficient (ρHV(0))
- Differential Phase, specific Differential Phase
- Linear Depolarization Ratio
Radar course 2010/11, Class room phase 16
Differential Reflectivity (ZDR)
Differential reflectivity is the ratio between horizontal and vertical reflectivity factor
using zH, zV in mm6 m3, or ZH, ZV in dBZ.
• positives ZDR is caused by oblate particles falling orientated parallel to the polarization basis.
• ZDR is weighted with reflectivity. • ZDR depends on particle shape,
orientation and falling behaviour.
dB unit = orlog VHzz ZZZDR10=ZDR
V
H
ZH ZV
VH
Radar course 2010/11, Class room phase 17
Differential Reflectivity (ZDR)
Indication for oblate particles falling horizontally orientated
Radar course 2010/11, Class room phase 18
Differential Reflectivity (ZDR)
• ZDR can be used to identify insects and birds in clear air echoes– Rain: ZDR 0 – 5 dB– Insects ZDR 5 – 10 dB
Z ZDR
PO
LDIR
AD
at W
alte
nhei
m-s
ur-Z
orn
Radar course 2010/11, Class room phase 19
Differential Reflectivity (ZDR)
• ZDR should be zero or positive• negative ZDR is an indication for a failure
differential attenuation in C-band by strong rain
Z ZDR
Radar course 2010/11, Class room phase 20
Differential Reflectivity (ZDR)
• ZDR should be zero or positive• negative ZDR is an indication for a failure
“monster snow flakes” Mie-scatter, large particles
Z ZDR
Radar course 2010/11, Class room phase 21
Co-polar Correlation Coefficient (ρHV(0))
The correlation coefficient ρHV(0) describes the correlation of the scattering signal between horizontal and vertical polarization.– a high correlation is expected if the orientation of particles
does not change between pulses– a low correlation is expected if the orientation of particles
changes irregular between pulses
high correlation between H and V low correlation between H and V
V-Pol.H-Pol.V-Pol.H-Pol.
pulses pulses
log.
pow
er
Radar course 2010/11, Class room phase 22
Co-polar Correlation Coefficient (ρHV(0))
• ρHV(0) it almost 1 in rain, in strong rain 0.98 to 0.97.• ρHV(0) below 0.90 indicates particles with irregular shapes,
ice/water mixtures and strong tumbling during fall.• Used for the identification of irregular shaped particles.
Radar course 2010/11, Class room phase 23
Co-polar Correlation Coefficient (ρHV(0))ρHV(0)
ZDR
ZH
Poldirad13 Jan. 2011 09:15 towards 52°
(-1 dB offset)
Radar course 2010/11, Class room phase 24
Differential Propagation Phase
H
V
H
V
0(r)
0(r)
0(r)
0(r)
0(r)
0(r)
0(r) +
H
0(r) +
V
VHDP
Measurements of the differential phase describe properties of the propagation path, it is not a property of the backscattering media.
• Different propagation speed of waves ( phase shift) in rain and air. Refractive index n = 1.0003 (air), n = 1.33 (water).
• Non-spherical particles will have different phase shift depending on polarisation plane.
Radar course 2010/11, Class room phase 25
• The differential propagation phase shift on forward scatter DP occurs on the way towards the scattering particle.
• The backscatter for particles with D << λ is without phase shift.
• The backscattered wave will receive again a differential phase shift.
• The specific differential propagation phase KDP describes the phase shift between horizontal and vertical polarized wave.
Differential Propagation Phase
degree/km) (unit)(2
)()(
12
12
rr
rrK DPDP
DP
DP(r1)
DP(r2)r1 r2
Radar course 2010/11, Class room phase 26
Differential Phase
Radar course 2010/11, Class room phase 27
Differential Propagation Phase
POLDIRAD
Radar course 2010/11, Class room phase 28
Summary Differential Propagation Phase
• KDP is a measure for the mass of the particles.
• Phase measurements are absolute measurements. They are independent of the calibration of the radar.
• Phase measurements are not affected by attenuation.
• KDP and DP is used for the estimation of rain rate and the correction of attenuation.
Radar course 2010/11, Class room phase 29
Linear Depolarization Ratio (LDR)
The linear depolarization ratio LDR describes the ratio of cross-polar reflectivity to co-polar reflectivity
• using zVH, zH in mm6 m-3 or ZVH, ZH in dBZ.
• LDR is caused by particles which are rotated to the polarization plane.
• LDR is weighted by reflectivity.
• LDR depends on the shape of the particles, their orientation and their falling behaviour.
dB) unit( = LDRorlog HVHzz ZZ10 = LDR
H
VH
Radar course 2010/11, Class room phase 30
Linear Depolarization Ratio (LDR)Indication for oblate particlesfalling irregularor canted
Radar course 2010/11, Class room phase 31
Melting Layer Stratiform Precipitation
Radar course 2010/11, Class room phase 32
Melting Layer Convective Precipitation
Application of Dual-Polarization
- Rain rate estimation
- Hydrometeor classification
- Quality control
Radar course 2010/11, Class room phase 34
Rain rate and radar reflectivity
Empirical relation between rain rate Rand reflectivity z
z in mm-6 m-3
R in mm/h
Coefficients a and b depend ondrop size distribution.
bz a = R
7000 1-minute drop size distribution,Oberpfaffenhofen, 1996
Z=44.6 dBZ
10-1100101102103104105106
0 1 2 3 4 5Diameter (mm)
N(D
) (m
m
m
)-1
-3 Z=33.8 dBZ
10-1100101102103104105106
0 1 2 3 4 5Diameter (mm)
N(D
) (m
m
m
)-1
-3
R=13.6 mm/h R=13.6 mm/h
Radar course 2010/11, Class room phase 35
Rain rate and polarimetric radar measurements
Additional information about raindropsize distribution by differential reflectivity: sensitive to large drops.
Z=44.6 dBZ
10-1100101102103104105106
0 1 2 3 4 5Diameter (mm)
N(D
) (m
m
m
)-1
-3 Z=33.8 dBZ
10-1100101102103104105106
0 1 2 3 4 5Diameter (mm)
N(D
) (m
m
m
)-1
-3
R=13.6 mm/h R=13.6 mm/h
ZDR=2.6 dB ZDR=0.3 dB
cb ZDRz a = R
7000 1-minute drop size distribution,Oberpfaffenhofen, 1996
Small errors in polarimetric quantities can give large errors in rain rate estimation.
Radar course 2010/11, Class room phase 36
Summary Rain Rate Estimation
Polarimetric quantities are only available for rainfall rates above a certain value, since small raindrops are spherical.
• As a first step a quality control is necessary
• Polarimetric estimates are only valid in the rain layer
• An optimized procedure would use different methods depending on rain intensity (numbers are approximate C-band)
– rain rates below 2 mm/h use z-R relation
– rain rates 2 – 10 mm/h use z-ZDR-R relation
– rain rates above 10 mm/h use KDP-ZDR-R relation
Radar course 2010/11, Class room phase 37
Classification of Hydrometeors
Forecasters want to see this and not that
Differential Reflectivity
Range (km)
Hei
ght (
km)
60 65 70 75 80
2
4
6
8
10
12
14
40 55 600
Hei
ght (
km)
2
4
6
8
10
12
14
Range (km)60 65 70 75 80
ZDR (dB)
-3 -0.5 +0.5 4.5
Hei
ght (
km)
2
4
6
8
10
12
14
60 65 70 75 80
Range (km)
LDR (dB)
-35 -28 -19 -13
Reflectivity
Depolarization Ratio
R Large Raindrops
G
S S
rR
GH
H
HW HW
HLW
Hydrometeor Type
2
4
6
8
10
12
14
Heig
ht (k
m)
S SnowG GraupelH HailHW Wet HailHLW Large Wet Hailr Smal RaindropsR
Reflectivity (dBZ)
Range (km)60 65 70 75 80
Radar course 2010/11, Class room phase 38
Classification of Hydrometeors
• From observations and theoretical or practical considerations we know:
Z (dBZ)
ZDR(dB)
KDP(°/km)
ρHV(0) LDR (dB)
Rain 10 – 55 0 – 5 0 – 10 ≈ 1.0 < -30
Ice crystals < 15 0 – 2 0 ≈ 0.99 < -30
Snow aggregates
< 25 0 – 2 0 ≈ 0.99 < -30
Graupel up to 40
≈ 0 ≈ 0 > 0.95< 0.95 melting
< -30< -25 melting
Hail up to 70
≈ 0 ≈ 0 0.9 – 0.95< 0.9 melting
> -25-25 – -15 melting
Radar course 2010/11, Class room phase 39
Classification of Hydrometeors
• From observations and theoretical or practical considerations we know:
Z (dBZ)
ZDR(dB)
KDP(°/km)
ρHV(0) LDR (dB)
Insects < 5 5 – 10 ? 0.9 – 1.0 ? < -30 ?
Birds < 5 3 – 6 ? 0.9 – 1.0 ? < -30 ?
Chaff < 5 0 – 6 ? < 0.3 > -20
Ground clutter
any noisy noisy 1 stopped < 0.6 rotating antenna
> -20
Radar course 2010/11, Class room phase 40
Classification of Hydrometeors
Based on thresholds(Höller et al., 1994)
Based on fuzzy logic(Vivekanandan et el., 1999)
LD
R
Each manufacturer (researcher) has her/his own algorithm,display, hydrometeor classes, parameters to adjust
Radar course 2010/11, Class room phase 41
Classification of Hydrometeors
Radar course 2010/11, Class room phase 42
Example of Fuzzy Logic: Rain – SnowA
. D
alp
hin
et,
Me
teo
Fra
nce
- D
LR
snow atground
rain atground
Verification using MRRprecipitation fall velocities
snowrain
13 14 UTC
2500
AGL
0 m
Reflectivity
21 Nov. 2008 13:30 UTC
Radar course 2010/11, Class room phase 43
Quality control for polarimetric radar products
Quality control for rain rate estimation:
rain only, good beam filling, low beam blockage, low attenuation, ...
bad good
Radar course 2010/11, Class room phase 44
Dual-Polarization Conclusion
• Additional information available– useful for hydrometeor classification– improved rain rate estimation– improved quality control– attenuation correction possible
• Dual-polarization– makes attenuation visible (at C- and X-band)– requires very high data quality (calibration issue)– many algorithms are only available for rain