NOAA Ocean Surface Wind Vectors from Wind Sat

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NOAA Ocean Surface Wind Vectors from Wind. Sat Polarimetric Measurements Zorana Jelenak, Tim Mavor,

NOAA Ocean Surface Wind Vectors from Wind. Sat Polarimetric Measurements Zorana Jelenak, Tim Mavor, Laurence Connor, Nai-Yu Wang and Paul S. Chang NOAA/NESDIS/ORA Mike Bettenhausen and Peter Gaiser NRL February 2005 Ocean Wind Vector Workshop, Miami, FL

Wind. Sat-Mission Successfully launched on January 6 th 2003 with the objectives to: l

Wind. Sat-Mission Successfully launched on January 6 th 2003 with the objectives to: l Demonstrate the capability of Polarimetric Microwave Radiometry to measure the Ocean Surface Wind Vector from Space l Show potential to measure other EDR’s: SST, Water Vapor, Cloud liquid water, rain rate, sea ice and snow cover l February 2005 OVW NASA/NOAA Workshop, Miami, FL

Talk Outline l What did we know? l What did we learn? l What

Talk Outline l What did we know? l What did we learn? l What is it that we still don’t know? February 2005 OVW NASA/NOAA Workshop, Miami, FL

Ocean Brightness Temperatures l Tb’s measured by satellite radiometer consists of: – Signal that

Ocean Brightness Temperatures l Tb’s measured by satellite radiometer consists of: – Signal that is emitted from the ocean surface and travels upwards – Upward traveling atmospheric radiation – Downward traveling atmospheric and cold space radiation that is scattered back from the ocean surface February 2005 OVW NASA/NOAA Workshop, Miami, FL

Theoretical Model February 2005 OVW NASA/NOAA Workshop, Miami, FL

Theoretical Model February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind. Sat Data on PODAAC l SDR’s Ver. 1. 6. 1 l NOAA EDR’s.

Wind. Sat Data on PODAAC l SDR’s Ver. 1. 6. 1 l NOAA EDR’s. Based on 1. 5. 1 SDR’s – NESDIS_0 Algorithm version l NOAA EDR’s Based on 1. 6. 1 SDR’s – NESDIS_1 Algorithm version Wind Speed Algorithm l SST Algorithm l QC flag l February 2005 OVW NASA/NOAA Workshop, Miami, FL

CLW Retrievals 18. 7, 28. 8 and 37 GHz NOAA Wind. Sat Wind Vector

CLW Retrievals 18. 7, 28. 8 and 37 GHz NOAA Wind. Sat Wind Vector Retrieval Algorithm – Ver 0 Wind Direction Retrievals WV Retrievals 18. 7, 23. 8 and 37 GHz Wind Speed Retrievals 10. 7, 18. 7, 23. 8 and 37 GHz SST Retrievals 10. 7, 18. 7 and 37 GHz 3 rd and 4 th Stokes Ambiguity Removal • 4 possible solution • GDAS initialization • Median filter • 3 passes 10. 7 GHz February 2005 OVW NASA/NOAA Workshop, Miami, FL

CLW Retrievals 18. 7, 28. 8 and 37 GHz NOAA Wind. Sat Wind Vector

CLW Retrievals 18. 7, 28. 8 and 37 GHz NOAA Wind. Sat Wind Vector Retrieval Algorithm – Ver 1 Wind Direction Retrievals WV Retrievals 18. 7, 23. 8 and 37 GHz Wind Speed Retrievals 10. 7, 18. 7, 23. 8 and 37 GHz SST Retrievals 10. 7, 18. 7 and 37 GHz 3 rd and 4 th Stokes Ambiguity Removal • 4 possible solution • GDAS initialization • Median filter • 3 passes 10. 7 GHz February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind. Sat 1. 5. 1 EDR’s Data from Sep, 2003 to February, 2004 l

Wind. Sat 1. 5. 1 EDR’s Data from Sep, 2003 to February, 2004 l Retrievals performed over: – Ocean flagged points – Only fore measurements l Retrievals flagged for: – Out of bounds Tb’s – Out of bounds eia – Geographical regions – Rain and ice contamination – High values of wind speed, cloud liquid water and water vapor l February 2005 OVW NASA/NOAA Workshop, Miami, FL

EDR Validation Data Set WS-GDAS-QSCAT-SSMI (Sep, 2003 – Feb, 2004) l Matchup criteria: –

EDR Validation Data Set WS-GDAS-QSCAT-SSMI (Sep, 2003 – Feb, 2004) l Matchup criteria: – – l 35 min between WS-SSMI and 1 h WS-QSCAT 1 h WS-GDAS 1 h QSCAT-GDAS Validation criteria: – Wspd, based on GDAS wspd – Wind direction based on GDAS wind direction. Two sets of data: l All points that satisfied matchup criteria l Edited set: (WS-GDAS)<90 – WV and CLW bins based on SSMI retrievals – SST bins based on GDAS surface SST February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

VER 0 February 2005 VER 1 OVW NASA/NOAA Workshop, Miami, FL

VER 0 February 2005 VER 1 OVW NASA/NOAA Workshop, Miami, FL

Wind Speed Retrievals VER 0 Regression based algorithm -Tbv, h 10, Tbv, h 18,

Wind Speed Retrievals VER 0 Regression based algorithm -Tbv, h 10, Tbv, h 18, Tbv 23, Tbv 37 -tpw dependent -dc dependent February 2005 VER 1 Regression based algorithm -Tbv 10, Tbv, h 18, Tbv 23, Tbv, h 37 -tpw dependent -dc dependent OVW NASA/NOAA Workshop, Miami, FL

Wind Speed Algorithm Performances VER 0 Across Swath VER 0 Versus CLW VER 1

Wind Speed Algorithm Performances VER 0 Across Swath VER 0 Versus CLW VER 1 VER 0 Versus SST Versus TPW mean February 2005 OVW NASA/NOAA Workshop, Miami, FL VER 1

Wind Direction Validation VER 0 February 2005 VER 1 OVW NASA/NOAA Workshop, Miami, FL

Wind Direction Validation VER 0 February 2005 VER 1 OVW NASA/NOAA Workshop, Miami, FL

Algorithm Performance - Wind Direction Across Swath Versus SST Versus CLW Versus TPW February

Algorithm Performance - Wind Direction Across Swath Versus SST Versus CLW Versus TPW February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind Speed and Directional Histograms VER 1 February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind Speed and Directional Histograms VER 1 February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind. Sat Quik. Scat November 5, 2003 (rev 04529) February 2005 OVW NASA/NOAA Workshop,

Wind. Sat Quik. Scat November 5, 2003 (rev 04529) February 2005 OVW NASA/NOAA Workshop, Miami, FL

Wind. Sat February 2005 Quik. SCAT OVW NASA/NOAA Workshop, Miami, FL

Wind. Sat February 2005 Quik. SCAT OVW NASA/NOAA Workshop, Miami, FL

Conclusions l Wind. Sat wind vector retrieval algorithm has been developed and six months

Conclusions l Wind. Sat wind vector retrieval algorithm has been developed and six months of Windsat EDR’s has been released – EDR’s based on 1. 6. 1 SDR’s will be released in March l A*Tbv-Tbh relationship developed – Almost independent of atmospheric parameters – When used in retrievals instrument skill improves l Initial cal/val done – Initial validation results show that wind speed rms error <2 m/s for wind speed between [3 -20]m/s – Wind Directional error <25 for wind speeds [5 -20]m/s for selected solutions – Large retrieval errors are associated with large values of cloud liquid water and water vapor in the atmosphere February 2005 OVW NASA/NOAA Workshop, Miami, FL

l Wind. Sat Wind Vector Imagery available – http: //manati. orbit. nesdis. noaa. gov/windsat

l Wind. Sat Wind Vector Imagery available – http: //manati. orbit. nesdis. noaa. gov/windsat l PODAAC Wind. Sat Web page – http: //podaac. jpl. nasa. gov/windsat February 2005 OVW NASA/NOAA Workshop, Miami, FL