SlideShare ist ein Scribd-Unternehmen logo
1 von 19
Cross-Polarized SAR: A New  Potential  Technique for Hurricanes Will Perrie and Biao Zhang Bedford Institute of Oceanography Dartmouth, Nova Scotia, Canada
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 models
SAR PR ocean wind models  Nonlinear Least Squares fit …. PR Model I   only  incidence  angle dependence PR Model II  with additional  wind speed  dependence   -0.0802 C 0.0333 B 0.5474 A Fitted values Coefficient -0.0505 Q2 -0.0006 Q1 0.9559 P3 -0.0162 P2 0.0012 P1 Fitted values Coefficient
Dataset Mouche 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
Dataset 17 SAR winds from CMOD5.N and our model#I + R2  HH pol image 14.1 m/s 12.9 m/s 12.4 m/s 11.6 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.
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      VV  HH  HV  VH U 10 U 10 C-band  models
Dataset R2  Quad -Polarization Ocean Backscatter Measurements NRCS_VV saturates  no NRCS_HV saturation NRCS_HV, NRCS_VH not  sensitive to incidence  angle, wind direction NRCS_VV, NRCS_HH depend  on incidence  angle, wind direction U 10 U 10 U 10 U 10 C-2PO corr coeff = 0.91
Hurricane Bertha – 12 July 2008 Hurricane wind-speed retrievals with C-2PO
Hurricane Ike – 10 Sept 2008
Hurricane Bill – 22 Aug 2009
Hurricane Danielle – 28 Aug 2010
Hurricane Earl   on Sep 02, 2010 at 22:59 UTC VV polarization VH polarization RADARSAT-2 dual-polarization SAR image
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)
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?
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
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
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
Summary  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some other sources… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Was ist angesagt?

6%2E2015-2384
6%2E2015-23846%2E2015-2384
6%2E2015-2384Alex Sano
 
Bourassa_Vorticity_IGARSS.ppt
Bourassa_Vorticity_IGARSS.pptBourassa_Vorticity_IGARSS.ppt
Bourassa_Vorticity_IGARSS.pptgrssieee
 
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWAN
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWANDSD-INT - SWAN Advanced Course - 04 - Numerics in SWAN
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWANDeltares
 
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWAN
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWANDSD-INT - SWAN Advanced Course - 03 - Model physics in SWAN
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWANDeltares
 
Multicomponent Seismic Data API
Multicomponent Seismic Data APIMulticomponent Seismic Data API
Multicomponent Seismic Data APIBablu Nonia
 
Seismic interpretation work flow final ppt
Seismic interpretation work flow final pptSeismic interpretation work flow final ppt
Seismic interpretation work flow final pptMuhammadJawwad28
 
TU3.T10.3.ppt
TU3.T10.3.pptTU3.T10.3.ppt
TU3.T10.3.pptgrssieee
 
igarss2011_lion.pptx
igarss2011_lion.pptxigarss2011_lion.pptx
igarss2011_lion.pptxgrssieee
 
LWD Borehole Georadar (Proof of Concept)
LWD Borehole  Georadar (Proof of Concept)LWD Borehole  Georadar (Proof of Concept)
LWD Borehole Georadar (Proof of Concept)Sergey Bondarenko
 
Synthetic unit hydrograph
Synthetic unit hydrographSynthetic unit hydrograph
Synthetic unit hydrographSatish Taji
 
The Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary TransmissionThe Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary Transmissionijceronline
 
Introduction to seismic interpretation
Introduction to seismic interpretationIntroduction to seismic interpretation
Introduction to seismic interpretationAmir I. Abdelaziz
 
Research Poster 2015
Research Poster 2015Research Poster 2015
Research Poster 2015Tao Xiang,EIT
 
igarss11stiles_ver3.pptx
igarss11stiles_ver3.pptxigarss11stiles_ver3.pptx
igarss11stiles_ver3.pptxgrssieee
 
Mikhailov duct piers_2017_for_linked_id
Mikhailov duct piers_2017_for_linked_idMikhailov duct piers_2017_for_linked_id
Mikhailov duct piers_2017_for_linked_idMikhail Mikhailov
 
Filtering in seismic data processing? How filtering help to suppress noises.
Filtering in seismic data processing? How filtering help to suppress noises. Filtering in seismic data processing? How filtering help to suppress noises.
Filtering in seismic data processing? How filtering help to suppress noises. Haseeb Ahmed
 

Was ist angesagt? (18)

6%2E2015-2384
6%2E2015-23846%2E2015-2384
6%2E2015-2384
 
Bourassa_Vorticity_IGARSS.ppt
Bourassa_Vorticity_IGARSS.pptBourassa_Vorticity_IGARSS.ppt
Bourassa_Vorticity_IGARSS.ppt
 
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWAN
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWANDSD-INT - SWAN Advanced Course - 04 - Numerics in SWAN
DSD-INT - SWAN Advanced Course - 04 - Numerics in SWAN
 
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWAN
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWANDSD-INT - SWAN Advanced Course - 03 - Model physics in SWAN
DSD-INT - SWAN Advanced Course - 03 - Model physics in SWAN
 
Multicomponent Seismic Data API
Multicomponent Seismic Data APIMulticomponent Seismic Data API
Multicomponent Seismic Data API
 
Principles of seismic data processing m.m.badawy
Principles of seismic data processing m.m.badawyPrinciples of seismic data processing m.m.badawy
Principles of seismic data processing m.m.badawy
 
Seismic interpretation work flow final ppt
Seismic interpretation work flow final pptSeismic interpretation work flow final ppt
Seismic interpretation work flow final ppt
 
TU3.T10.3.ppt
TU3.T10.3.pptTU3.T10.3.ppt
TU3.T10.3.ppt
 
igarss2011_lion.pptx
igarss2011_lion.pptxigarss2011_lion.pptx
igarss2011_lion.pptx
 
LWD Borehole Georadar (Proof of Concept)
LWD Borehole  Georadar (Proof of Concept)LWD Borehole  Georadar (Proof of Concept)
LWD Borehole Georadar (Proof of Concept)
 
Synthetic unit hydrograph
Synthetic unit hydrographSynthetic unit hydrograph
Synthetic unit hydrograph
 
The Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary TransmissionThe Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary Transmission
 
Introduction to seismic interpretation
Introduction to seismic interpretationIntroduction to seismic interpretation
Introduction to seismic interpretation
 
Research Poster 2015
Research Poster 2015Research Poster 2015
Research Poster 2015
 
igarss11stiles_ver3.pptx
igarss11stiles_ver3.pptxigarss11stiles_ver3.pptx
igarss11stiles_ver3.pptx
 
Mikhailov duct piers_2017_for_linked_id
Mikhailov duct piers_2017_for_linked_idMikhailov duct piers_2017_for_linked_id
Mikhailov duct piers_2017_for_linked_id
 
Filtering in seismic data processing? How filtering help to suppress noises.
Filtering in seismic data processing? How filtering help to suppress noises. Filtering in seismic data processing? How filtering help to suppress noises.
Filtering in seismic data processing? How filtering help to suppress noises.
 
Rocca.ppt
Rocca.pptRocca.ppt
Rocca.ppt
 

Andere mochten auch

肩の力を抜いてチャレンジしよう 【配布資料】
肩の力を抜いてチャレンジしよう 【配布資料】肩の力を抜いてチャレンジしよう 【配布資料】
肩の力を抜いてチャレンジしよう 【配布資料】Naturallink Maemoto
 
Evaluación final grupo 136
Evaluación final grupo 136Evaluación final grupo 136
Evaluación final grupo 136bdcasas
 
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto Proiete
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto ProieteNovidades do CSharp 4.0 - Paulo Morgado & C. Augusto Proiete
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto ProieteComunidade NetPonto
 
Corporación universitaria
Corporación universitariaCorporación universitaria
Corporación universitariajhonosorioh
 

Andere mochten auch (7)

Bioe1885
Bioe1885Bioe1885
Bioe1885
 
肩の力を抜いてチャレンジしよう 【配布資料】
肩の力を抜いてチャレンジしよう 【配布資料】肩の力を抜いてチャレンジしよう 【配布資料】
肩の力を抜いてチャレンジしよう 【配布資料】
 
Sergeant-Major Money
Sergeant-Major MoneySergeant-Major Money
Sergeant-Major Money
 
Evaluación final grupo 136
Evaluación final grupo 136Evaluación final grupo 136
Evaluación final grupo 136
 
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto Proiete
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto ProieteNovidades do CSharp 4.0 - Paulo Morgado & C. Augusto Proiete
Novidades do CSharp 4.0 - Paulo Morgado & C. Augusto Proiete
 
Corporación universitaria
Corporación universitariaCorporación universitaria
Corporación universitaria
 
Font stuff
Font stuffFont stuff
Font stuff
 

Ähnlich wie TU1.T10.5.ppt

TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...
TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...
TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...grssieee
 
presentation_meissner.pptx
presentation_meissner.pptxpresentation_meissner.pptx
presentation_meissner.pptxgrssieee
 
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONSEVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONSgrssieee
 
Satellite Communication.ppt
Satellite Communication.pptSatellite Communication.ppt
Satellite Communication.pptDeepaksenthil4
 
Satellite communication 3
Satellite communication   3Satellite communication   3
Satellite communication 3sardarwaleed3
 
ASME Energy Sustainability 2016
ASME Energy Sustainability 2016ASME Energy Sustainability 2016
ASME Energy Sustainability 2016Saadat Khan
 
Use of mesoscale modeling to increase the reliability of wind resource assess...
Use of mesoscale modeling to increase the reliability of wind resource assess...Use of mesoscale modeling to increase the reliability of wind resource assess...
Use of mesoscale modeling to increase the reliability of wind resource assess...Jean-Claude Meteodyn
 
Lalit Anjum Wind Resource_PPT
Lalit Anjum Wind Resource_PPTLalit Anjum Wind Resource_PPT
Lalit Anjum Wind Resource_PPTLalit Anjum
 
TU3.T10.5.ppt
TU3.T10.5.pptTU3.T10.5.ppt
TU3.T10.5.pptgrssieee
 
Estimation of Water Vapour Attenuation And Rain Attenuation
Estimation of Water Vapour Attenuation And Rain AttenuationEstimation of Water Vapour Attenuation And Rain Attenuation
Estimation of Water Vapour Attenuation And Rain AttenuationIJERA Editor
 
CAAC_Downbursts_Fog_KP
CAAC_Downbursts_Fog_KPCAAC_Downbursts_Fog_KP
CAAC_Downbursts_Fog_KPKen Pryor
 
CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015Justin Pringle
 
bettenhausen_igarss11_talk.pdf
bettenhausen_igarss11_talk.pdfbettenhausen_igarss11_talk.pdf
bettenhausen_igarss11_talk.pdfgrssieee
 
The Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary TransmissionThe Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary Transmissionijceronline
 
EGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxEGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxssusercd49c0
 
Wireless wetherstation
Wireless wetherstationWireless wetherstation
Wireless wetherstationMohan
 
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...Deltares
 
Link budget
Link budgetLink budget
Link budgetdrmbalu
 
A high performance model for rainfall effect on radio signals
A high performance model for rainfall effect on radio signalsA high performance model for rainfall effect on radio signals
A high performance model for rainfall effect on radio signalsAlexander Decker
 

Ähnlich wie TU1.T10.5.ppt (20)

TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...
TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...
TU4.L10 - A REVISED GEOPHYSICAL MODEL FUNCTION FOR THE ADVANCED SCATTEROMETER...
 
presentation_meissner.pptx
presentation_meissner.pptxpresentation_meissner.pptx
presentation_meissner.pptx
 
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONSEVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
 
Satellite Communication.ppt
Satellite Communication.pptSatellite Communication.ppt
Satellite Communication.ppt
 
Satellite communication 3
Satellite communication   3Satellite communication   3
Satellite communication 3
 
ASME Energy Sustainability 2016
ASME Energy Sustainability 2016ASME Energy Sustainability 2016
ASME Energy Sustainability 2016
 
MEA
MEAMEA
MEA
 
Use of mesoscale modeling to increase the reliability of wind resource assess...
Use of mesoscale modeling to increase the reliability of wind resource assess...Use of mesoscale modeling to increase the reliability of wind resource assess...
Use of mesoscale modeling to increase the reliability of wind resource assess...
 
Lalit Anjum Wind Resource_PPT
Lalit Anjum Wind Resource_PPTLalit Anjum Wind Resource_PPT
Lalit Anjum Wind Resource_PPT
 
TU3.T10.5.ppt
TU3.T10.5.pptTU3.T10.5.ppt
TU3.T10.5.ppt
 
Estimation of Water Vapour Attenuation And Rain Attenuation
Estimation of Water Vapour Attenuation And Rain AttenuationEstimation of Water Vapour Attenuation And Rain Attenuation
Estimation of Water Vapour Attenuation And Rain Attenuation
 
CAAC_Downbursts_Fog_KP
CAAC_Downbursts_Fog_KPCAAC_Downbursts_Fog_KP
CAAC_Downbursts_Fog_KP
 
CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015
 
bettenhausen_igarss11_talk.pdf
bettenhausen_igarss11_talk.pdfbettenhausen_igarss11_talk.pdf
bettenhausen_igarss11_talk.pdf
 
The Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary TransmissionThe Aerial Wetted Path of Geostationary Transmission
The Aerial Wetted Path of Geostationary Transmission
 
EGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxEGU21-11075_presentation.pptx
EGU21-11075_presentation.pptx
 
Wireless wetherstation
Wireless wetherstationWireless wetherstation
Wireless wetherstation
 
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...
DSD-INT 2017 Ocean wave spectra from phase averaged models and remote sensing...
 
Link budget
Link budgetLink budget
Link budget
 
A high performance model for rainfall effect on radio signals
A high performance model for rainfall effect on radio signalsA high performance model for rainfall effect on radio signals
A high performance model for rainfall effect on radio signals
 

Mehr von grssieee

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...grssieee
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELgrssieee
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...grssieee
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESgrssieee
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSgrssieee
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERgrssieee
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animationsgrssieee
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdfgrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.pptgrssieee
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptgrssieee
 

Mehr von grssieee (20)

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
Test
TestTest
Test
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animations
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.ppt
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.ppt
 

Kürzlich hochgeladen

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Visualising and forecasting stocks using Dash
Visualising and forecasting stocks using DashVisualising and forecasting stocks using Dash
Visualising and forecasting stocks using Dashnarutouzumaki53779
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 

Kürzlich hochgeladen (20)

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Visualising and forecasting stocks using Dash
Visualising and forecasting stocks using DashVisualising and forecasting stocks using Dash
Visualising and forecasting stocks using Dash
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 

TU1.T10.5.ppt

  • 1. Cross-Polarized SAR: A New Potential Technique for Hurricanes Will Perrie and Biao Zhang Bedford Institute of Oceanography Dartmouth, Nova Scotia, Canada
  • 2. 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 models
  • 3. SAR PR ocean wind models Nonlinear Least Squares fit …. PR Model I only incidence angle dependence PR Model II with additional wind speed dependence -0.0802 C 0.0333 B 0.5474 A Fitted values Coefficient -0.0505 Q2 -0.0006 Q1 0.9559 P3 -0.0162 P2 0.0012 P1 Fitted values Coefficient
  • 4. Dataset Mouche 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
  • 5. Dataset 17 SAR winds from CMOD5.N and our model#I + R2 HH pol image 14.1 m/s 12.9 m/s 12.4 m/s 11.6 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.
  • 6. 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  VV  HH  HV  VH U 10 U 10 C-band models
  • 7. Dataset R2 Quad -Polarization Ocean Backscatter Measurements NRCS_VV saturates no NRCS_HV saturation NRCS_HV, NRCS_VH not sensitive to incidence angle, wind direction NRCS_VV, NRCS_HH depend on incidence angle, wind direction U 10 U 10 U 10 U 10 C-2PO corr coeff = 0.91
  • 8. Hurricane Bertha – 12 July 2008 Hurricane wind-speed retrievals with C-2PO
  • 9. Hurricane Ike – 10 Sept 2008
  • 10. Hurricane Bill – 22 Aug 2009
  • 11. Hurricane Danielle – 28 Aug 2010
  • 12. Hurricane Earl on Sep 02, 2010 at 22:59 UTC VV polarization VH polarization RADARSAT-2 dual-polarization SAR image
  • 13. 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)
  • 14. 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?
  • 15. 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
  • 16. 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
  • 17. 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
  • 18.
  • 19.

Hinweis der Redaktion

  1. Figure 2a. Polarization ratio (PR) as a function of incidence angle, from RADARSAT-2 quad-polarization observations and our PR models, as well as selected empirical and theoretical PR models from the literature.
  2. Comparisons of observed NRCS in VV polarization (x-axis) from RADARSAT-2 measurements with equivalent values (y-axis) calculated from the various empirical and theoretical PR models in the literature: (a) Model 2 from Mouche et al . [2005] (M2005), (b) Model with incidence angle dependence from this study, (c) Model 1 from Mouche et al . [2005] (M2005), (d) Model with from Horstmann et al . [2000] (H2000), (e) Model from Johnsen et al . [2008] (J2008), (f) Model with from Thompson et al . [1998] (T1998), (g) Model with Eq.(5) from Elfouhaily [1996] (E1996), (h) Model with wind speed and incidence angle dependence from this study, and (i) Model with from Vachon and Dobson [2000] (V2000).
  3. SAR wind map retrieved by our PR model with only incidence angle dependence and CMOD5.N, from a RADARSAT-2 SAR image as shown in Figure 6a. The colorbar denotes wind speed, in units of m/s. The black arrow indicates wind direction (with 0  to the east) .
  4. a)-b) Normalized radar cross section (NRCS) versus wind speed, for six 5  incidence angle bins between 20  and 50  for (a) VV polarization, (b) HH polarization. In (a), include CMOD4, CMOD5, CMOD5.N. c)-d) Normalized radar cross section (NRCS) versus wind speed, for six 5  incidence angle bins between 20  and 50  for (a) HV polarization, (b) VH polarization. The solid line corresponds to a linear fit, with correlation coefficient of 0.97.
  5. RADARSAT-2 dual-polarization SAR image acquired over Hurricane Earl at 22:59 UTC on September 2, 2010, (a) VV polarization and (b) VH polarization.
  6. RADARSAT-2 dual-polarization SAR image acquired over Hurricane Earl at 22:59 UTC on September 2, 2010, (a) VV polarization and (b) VH polarization. Colorbar shows sigma-naught in VV polarization ( ) and in VH polarization () in dB, respectively. SAR-retrieved wind speeds from (c) the CMOD5.N model and , with e xternal wind directions from NOAA HRD H*Wind are overlaid , and (d) from the C-2PO model and . Colorbar shows wind speeds at 10-m height () in m/s.
  7. Comparisons of C-2PO and CMOD5.N SAR- retrieved wind speeds (at 22:59 UTC, on September 2, 2010) with collocated SFMR-measured along-track 10s averaged surface winds during 22:30~23:30 UTC, on September 2, 2010, (a) time series plot, (d) gives SFMR-measured 10s path-integrated rain rates (mm/hr).
  8. Comparisons of C-2PO and CMOD5.N SAR- retrieved wind speeds (at 22:59 UTC, on September 2, 2010) with collocated SFMR-measured along-track 10s averaged surface winds during 22:30~23:30 UTC, on September 2, 2010, (b) and (c) scatter plot s
  9. A RADARSAT-2 dual-polarization SAR image acquired over Hurricane Ike at 23:56 UTC on September 10, 2008, (a) VV polarization and (b) VH polarization. Colorbar shows sigma-naught in VV polarization ( ) and in VH polarization () in dB, respectively. SAR-retrieved wind speeds from (c) the CMOD5.N model and , with e xternal wind directions from NOAA HRD H*Wind are overlaid , and (d) from the C-2PO model and .
  10. Comparisons of C-2PO and CMOD5.N SAR- retrieved wind speeds (at 23:56 UTC, on September 10, 2008) with collocated H*Wind derived wind speeds at 01:30 UTC, on September 11, 2008 .