TU1.T10.5.ppt
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Transcript of TU1.T10.5.ppt
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Cross-Polarized SAR: A New Cross-Polarized SAR: A New PotentialPotential Technique for Hurricanes Technique for Hurricanes
Will Perrie and Biao ZhangBedford Institute of OceanographyDartmouth, Nova Scotia, Canada
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PR vs. incidence angle, from quad-polarization data. Compared to other PR models …
PR dependence on incidence angle
We develop a polarization ratio model to improve wind speed retrievals…
SAR-wind modelsSAR-wind modelsHH0
VV0
σ
σPR =
HH0
VV0
σ
σPR =
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SAR PR ocean wind models SAR PR ocean wind models
-0.0802C
0.0333B
0.5474A
Fitted valuesCoefficient
units]Linear [ )exp(PR CBA += θ
Nonlinear Least Squares fit ….
-0.0505Q2
-0.0006Q1
0.9559P3
-0.0162P2
0.0012P1
Fitted valuesCoefficient
( ) units][Linear )(PR 10θθ QUP=
3*2*1)( 2 PPPP ++= θθθ2*1)( QQQ += θθ
PR Model I only incidence angle dependence
PR Model II with additional wind speed dependence
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DatasetDatasetMouche et al #2 Our #1model Mouche et al #1 downwind
Mouche et al #1 crosswind Johnsen et al Thompson et al
Elfouhaily Our #2 model Vachon&Dobson
PR
PR from RADARSAT-2
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DatasetDataset
17
SAR winds from CMOD5.N and our model#I + R2 HH pol image
14.1 m/s12.9 m/s
12.4 m/s11.6 m/s 15.9 m/s
16.6 m/s
Zhang, B., W. Perrie, and Y. He (2011), Wind speed from RADARSAT-2 quad-polarization images using a new polarization ratio model, J. Geophys. Res., doi:10.1029/2010JC006522.
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Co-Polarization Model: CMOD5.N
Cross-Polarization Ocean model: C-2PO
1:wind speed, wind direction, incidence angle.2: NRCS_VV saturated under high winds.
1: only wind speed dependence.2: NRCS_VH not saturated under high winds.
Correlation coefficient for C-2PO = 0.91
σ VVσHH
σHV σVH
U10 U10
C-band models
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DatasetDatasetR2 Quad-Polarization Ocean Backscatter Measurements
NRCS_VV saturates
no NRCS_HV saturation
NRCS_HV, NRCS_VHnot sensitive to incidence angle, wind direction
NRCS_VV, NRCS_HHdepend on incidence angle, wind direction
U10U10
U10 U10
C-2PO corr coeff = 0.91
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Hurricane Bertha – 12 July 2008
Hurricane wind-speed retrievals with C-2PO
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Hurricane Ike – 10 Sept 2008
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Hurricane Bill – 22 Aug 2009
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Hurricane Danielle – 28 Aug 2010
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Hurricane Earl on Sep 02, 2010 at 22:59 UTC
VV polarization VH polarization
RADARSAT-2 dual-polarization SAR image
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Hurricane Earl on Sep 02, 2010 at 22:59 UTC
H*Wind (m/s)
Winds -buoy #41001 is 18.1(m/s) C-2PO is 16.0 CMOD5.N is 17.4 H*Wind is 16.8
CMOD5.N (m/s) C-2PO model (m/s)
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Comparison of C-2PO and CMOD5. SAR wind retrievals
Along track-SFMR (hr) time series
SFMR-measured 10s rain rates (mm/hr) time series (hr)
eyewall? rain? gradients?
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Hurricane Earl
Comparisons of C-2PO and CMOD5.N SAR-retrieved winds U10 (Sep 02, 2010 at 22:59 UTC) with collocated H*Wind
C-2PO CMOD5.N
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dual-polarization SAR image at 23:56 UTC on Sep 10, 2008
Hurricane Ike
VV polarization VH polarization
CMOD5.N + wind directions via H*Wind
C-2PO model U10
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Comparisons of C-2PO and CMOD5.N SAR-retrieved winds U10 (23:56 UTC, on September 10, 2008) with collocated H*Wind
Hurricane Ike
CMOD5.N bias of -4.89 m/s and RMS error of 6.51 m/s C-2PO bias of -0.88 m/s and RMS error of 4.47 m/s
C-2PO CMOD5.N
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Summary Summary
• C-2PO model presented• insensitive to wind direction, radar incidence angle
– easy mapping of observed cross-pol NRCS to wind speed • avoids errors in wind speed retrievals that occur in CMOD5.N • in quad-pol data, C-2PO does not seem to saturate
– potential for hurricane wind retrievals• dual-pol Earl: high wind comparisons R2 SAR – airborne SFMR • Earl: C-2PO bias= -0.89 m/s, RMSE= 3.23 m/s,
CMOD5.N bias= -4.14 m/s, RMSE= 6.24 m/s.
Reasons for under-estimates: • CMOD5.N is saturated in high winds• co- and cross-polarized NRCS calibration error• CMOD5.N and C-2PO do not account for rain, high sea states, eye gradients, e.g.
dampen the NRCS biases in wind speeds• inaccurate wind directions for CMOD5.N.
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Some other sources…Some other sources…• Paul Hwang et al. TU2.T10.4 (11:20) Wind retrieval with cross-
polarized SAR returns • Vladimir Zabeline et al. TH2.T02.2 RADARSAT Application in ocean
wind measurements
Hwang, P. A., B. Zhang, and W. Perrie, 2010: Depolarized radar return for breaking wave measurements and hurricane wind retrieval. Geophys. Res. Lett., 37, L01604, doi:10.1029/2009GL041780.
Vachon, P.W. and J. Wolfe, (2010), C-band cross-polarization wind speed retrieval, IEEE Geosci. Remote Sens. Lett., 7, 456-459.
Zhang, B., and W. Perrie (2010), C-band Quad-Polarization ocean backscatter measurements: A new polarization ratio model. SEASAR2010, January 25-29, Frascati, Italy.
Zhang B., W. Perrie, and Y. He, 2011: Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model. J. Geophys. Res., 116, doi:10.1029/2010JC006522.
Zhang, B., W. Perrie (2011), Cross-polarized synthetic aperture radar: a new measurement technique for Hurricanes, under review - Bulletin of the American Meteorological Society (BAMS).