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W. Linwood Jones and Ian Adams Central Florida Remote Sensing Lab Univ. of Central FL. High Quality Wind Retrievals for Hurricanes Using the SeaWinds Scatterometer. Presentation Outline. Hurricane Wind Vector Retrieval Issues CFRSL Hurricane Retrieval Algorithm QRad Rain Rate Algorithm
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W. Linwood Jones and Ian Adams Central Florida Remote Sensing Lab Univ. of Central FL High Quality Wind Retrievals for Hurricanes Using the SeaWinds Scatterometer
Presentation Outline Hurricane Wind Vector Retrieval Issues CFRSL Hurricane Retrieval Algorithm QRad Rain Rate Algorithm Isabel and Fabian Results Conclusion
Issues with L2B Wind Vector Retrievalfor Extreme Wind Events Wind retrievals not tuned for high wind speeds Geophysical Model Function developed for wind speeds < 20 m/s CFRSL Approach Tropical Cyclone GMF tuned for retrieving high wind speeds Blended UMASS aircraft scat measurements and NSCAT GMF
Issues with L2B Wind Vector Retrievalfor Extreme Wind Events • Egg spatial resolution @ 25 km sampling is too coarse • CFRSL Approach • Uses gridded “slice sigma-o” @ 12.5 Km sampling
25 km resolution using “eggs” 50 km 25 km Latitude Longitude
Range gated “slices” from “egg” 30 km 25 km 6 km 12.5 km
Issues with L2B Wind Vector Retrievalfor Extreme Wind Events • Rain has negative effects on wind measurements • Rain attenuation lowers retrieved wind speeds • Volume scattering increases retrieved wind speeds and alters directional signatures • Rain “splash” increases retrieved wind speeds and changes anisotropic ocean surface features • MUDDH performance in hurricanes is poor
Issues with L2B Wind Vector Retrievalfor Extreme Wind Events • Rain has negative effects on wind measurements • CFRSL Approach • Simultaneous rain measurement using QRad • Rain attenuation and volume backscatter correction provided • Rain splash effect included in GMF • Rain Quality Flags Provided
CFRSL Hurricane Retrieval Algorithm “Slice” sigma-0’s for improved spatial resolution - 12.5 km Sigma-0 minimum eye location Wind speed retrieved from individual sigma-0 (assumed spiral wind directions) Rain inferred using QRad rain rate algorithm Sigma-0 corrections from atmospheric transmissivity and rain volume backscatter Flag pixels that correspond to high rain attenuation
QScat L1B sig-0 Bin Slice Sig-0 QRad Rain Rate L2A Tb’s Locate Center Atmos. Atten and Backscatter Correction Spiral Wind Direction Hurricane Wind Retrieval Retrieve Wind Speed Hurricane Wind Speed QRad Algorithm Block Diagram
Hurricane Eye Location Based upon Average of “4-flavor” Sigma-0’s 12.5 km sampling Latitude Longitude
QRad/SRad Rain Algorithm Look at noise channel of scatterometer Subtract echo channel Calibrate radiometric temperature vs. TMI Train brightness temperature/rain rate relationship via TMI Coincident with scatterometer measurement
QRad Integ. Rain Rate Product Improved CFRSL rain retrieval algorithm provides earth-gridded 50 km data product • Instantaneous integrated rain rates > 2.4 km*mm/hr • Resampled to 12.5 km wind vector grid
QRad – TRMM 2A12 Instantaneous Rain Rate Latitude Longitude Land QRad TMI
QRad – TRMM 3B42RT HQ Instantaneous Collocated Low Rain event TMI QRad
QRad – TRMM 3B42RT HQ Instantaneous Collocated Moderate Rain event TMI QRad
QRad – TRMM 3B42RT HQ Instantaneous Collocated High Rain Event TMI QRad
CFRSL Integ. Rain Rate, km*mm/hr TMI Integ. Rain Rate, km*mm/hr QRad (CFRSL) & TMI Integrated Rain Rates for Simultaneous Events
AMSR vs. SRad Path Attenuation, Horizontal Polarization SRad Attenuation AMSR Attenuation 102
QuikSCAT Rev. 22055, Sept 13, 2003 22:04 Z CFRSL Wind Retrieval HRD Wind Field, Time Interpolated (mm/hr) SSMI Rain Rate QRad Rain Rate (m/sec)
SeaWinds Rev. 03927, Sept 15, 2003 15:40 Z CFRSL Wind Retrieval HRD Wind Field, Time Interpolated (mm/hr) SSMI Rain Rate SRad Rain Rate (m/sec)
QuikSCAT Rev. 22084, Sept 15, 2003 22:52 Z SSMI Rain Rate (m/sec) HRD Wind Field, Time Interpolated CFRSL Wind Retrieval (mm/hr) SRad Rain Rate
SeaWinds Rev. 03934, Sept 16, 2003 02:52 Z SSMI Rain Rate (m/sec) HRD Wind Field 01:30 Z CFRSL Wind Retrieval (mm/hr) SRad Rain Rate
SeaWinds Rev. 03934, Sept 16, 2003 02:52 Z JPL Wind Field CFRSL Wind Retrieval CFRSL Wind Speed (m/s) JPL Wind Speed (m/s) HRD Modeled Wind Speed (m/s) HRD Modeled Wind Speed (m/s)
Conclusion Ready to test current algorithm in operational environment Acceptable estimates of high rain rates inside storm conditions Reasonable wind speed retrievals up to 40 - 45 m/s Work must be done to improve model function and rain backscatter and attenuation estimates Will utilize UMass IWRAP and SFMR data set Have simultaneous AMSR and SRad for the 2003 hurricane season