Improved Near Real-Time Hurricane Ocean Vector Winds Retrieval using QuikSCAT PI: W. Linwood Jones Central Florida Remote Sensing Lab. (CFRSL) University.

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Presentation transcript:

Improved Near Real-Time Hurricane Ocean Vector Winds Retrieval using QuikSCAT PI: W. Linwood Jones Central Florida Remote Sensing Lab. (CFRSL) University of Central Florida CoI’s: Eric Uhlhorn NOAA/AOML/HRD Paul Chang & Zorana Jelenak NOAA/NESDIS/STAR Presented by Pete Laupattarakasem - CFRSL

JHT Project Overview  Two-year development to provide improved QuikSCAT hurricane wind retrievals in Near Real-Time (NRT)  Year-1 Optimize new Extreme-Winds (X-Winds) algorithm to process NRT Merged Geophysical Data Record (MGDR) Develop operational software to be ported to NOAA/STAR computers for testing during 2010 hurricane season  Year-2 Validate X-Winds hurricane product using 2010 data Demonstrate as prototype operational OVW product for TPC/NHC & JTWC centers during 2011 season

Background: NASA Funded Research  NASA Ocean Vector Winds Science Team sponsored CFRSL to develop improved QuikSCAT wind retrieval algorithm for extreme wind events  This PI OVW product is known as Q-Winds  Combines active/passive measurements from SeaWinds  Tuned to HRD’s H*Wind surface wind analysis from hurricanes  Provides rain effects correction

Q-Winds Example: Hurricane Fabian 2003 Q-WindsQuikSCAT L2B-12.5 kmH*Wind Q-Winds with rain flagsQuikSCAT L2B-12.5 km with rain flags

Q-Winds & SeaWinds L2B-12km Validation Wind Speeds Comparison Without rain flagsWith rain flags

Wind Speed Radii Comparisons: Q-Winds / H*Wind Fabian 2003 (#21898) Ivan 2004 (#27217) H*Wind Q-Winds H*Wind Q-Winds H*Wind Q-Winds H*Wind Q-Winds

JHT: X-Winds Algorithm Development  Storm Detection  Near Real Time algorithm for autonomous storm detection Locates clusters of high sigma-0 in MGDR  Storm Eye Location  Locates center of circulation by searching for the minimum gradient of σ 0 differences  Initial Wind Direction Estimation  Estimates wind direction field from σ 0 contrast Provides initial Wind direction estimation for ambiguity selection  Rain Correction  Uses QuikSCAT Radiometer (QRad) brightness temperatures

Example: Storm Detection & Center Location Lng Lat Lng X-winds NHC Super Typhoon Melor, 2009 σ 0, power ratio

Wind Direction Initialization Parma Retrieved Q-Winds Initial directions

Validation of X-Winds Algorithm through Comparisons with NASA developed Q-Winds Super Typhoon Melor

X-Winds Comparison with QuikSCAT NRT MGDR Super Typhoon Melor

Summary  QuikSCAT NRT & non-NRT OVW retrievals significantly underestimate hurricane peak winds  Preliminary results for CFRSL X-Winds NRT MGDR are encouraging  X-Winds peak wind speeds are 10 – 15 m/s greater than conventional QuikSCAT MGDR  Future effort to compare X-Winds with H*Wind  CFRSL active/passive algorithm is candidate for future NOAA/NASA dual frequency scatterometry missions

CFRSL‘2010