SUBK00015944

THE LAUNCH OF THE NASA CYCLONE GLOBAL NAVIGATION SATELLITE SYSTEM (CYGNSS) OFFERS USEFUL SOURCES OF OCEAN SURFACE WIND DATA AND SOIL MOISTURE RETRIEVALS. THIS PROPOSED PROJECT AIMS TO ASSIMILATE CYGNSS DATA INTO NUMERICAL WEATHER PREDICTION MODELS FOR IMPROVED PREDICTION OF HIGH-IMPACT WEATHER SYSTEMS, INCLUDING TROPICAL CYCLONES, TROPICAL CONVECTION, LANDFALLING HURRICANES, AND HEAVY RAINFALLS THAT CAUSE FLOODS. AS A CURRENT MEMBER OF THE NASA CYGNSS SCIENCE TEAM, THE PI AND STUDENTS PLAN TO CONDUCT THE FOLLOWING RESEARCH TASKS. 1) ASSIMILATION OF CYGNSS OCEAN SURFACE WINDS FOR IMPROVED PREDICTION AND UNDERSTANDING OF TROPICAL CYCLONES AND TROPICAL CONVECTIONS OWING TO ITS ABILITY TO OBTAIN WIND SPEEDS OVER THE CORE REGIONS OF TROPICAL CYCLONES AND MESOSCALE CONVECTIVE SYSTEMS, CYGNSS PROVIDES UNIQUE DATA FOR IMPROVING TROPICAL CONVECTIVE WEATHER PREDICTION. WITH NCEP OPERATIONAL HURRICANE WEATHER RESEARCH AND FORECASTING (HWRF) MODEL USING THE OPERATIONAL GRIDPOINT STATISTICAL INTERPOLATION (GSI)-BASED HYBRID 3D-ENVAR DATA ASSIMILATION SYSTEM, OUR PREVIOUS STUDIES (E.G., CUI ET AL. 2019 A AND B) HAVE PROVED THAT ASSIMILATION OF CYGNSS OCEAN SURFACE WIND DATA HAS POSITIVE IMPACTS ON NUMERICAL PREDICTION OF TROPICAL CYCLONES AND TROPICAL CONVECTIVE WEATHER SYSTEMS. DURING THE EXTENDED MISSION PERIOD, WE WILL: EXTEND SIMILAR DATA ASSIMILATION EFFORTS TO THE MOST RECENT HURRICANE SEASONS FOR THE QUASIOPERATIONAL AND OPERATIONAL ASSIMILATION OF THE CYGNSS DATA IN THE NCEP OPERATIONAL HWRF SYSTEM. TRANSFER THE SAME CAPABILITY OF ASSIMILATING CYGNSS OCEAN SURFACE WINDS INTO THE NCEP NEWLY DEVELOPED HURRICANE ANALYSIS AND FORECAST SYSTEM (HAFS) AND THE NCEP S UNIFIED FORECAST SYSTEM (UFS) MODEL AT A CONFIGURATION OF THE GLOBAL FORECASTING SYSTEM (GFS)-FINITE VOLUME CUBED-SPHERE DYNAMICAL CORE (FV3) FOR IMPROVED PREDICTION OF TROPICAL CONVECTION OVER THE BROAD OPEN OCEAN. CONTINUE EXAMINING THE IMPACT OF ASSIMILATION OF CYGNSS OCEAN SURFACE WINDS ON NUMERICAL SIMULATIONS OF THE TROPICAL CONVECTIVE SYSTEMS DURING THE MADDEN-JULIAN OSCILLATION (MJO) OVER THE MARITIME CONTINENT REGION, WITH THE GOALS TO BETTER UNDERSTANDING THE PROCESSES ASSOCIATED WITH THE INTERACTIONS BETWEEN TROPICAL CONVECTION AND MJO. 2) ASSIMILATION OF CYGNSS SOIL MOISTURE DATA FOR IMPROVED HIGH-IMPACT WEATHER FORECASTING IN A SERIES OF RECENT STUDIES, THE PI AND HER TEAM HAVE IMPLEMENTED AND PROVED THAT THE STRONGLY COUPLED LAND-ATMOSPHERE DATA ASSIMILATION SYSTEM CAN IMPROVE LAND-ATMOSPHERE COUPLING AND WEATHER ANALYSIS AND FORECASTS (SEE LIU AND PU 2019; LIN AND PU 2018, 2019, 2020). THEY PU-CYGNSS -SOW OF 2 3 HAVE ALSO DEMONSTRATED THAT SURFACE ALBEDO AND SNOW DEPTH GREATLY INFLUENCE THE NEAR-SURFACE ATMOSPHERIC CONDITIONS DURING THE WINTER WEATHER EVENTS, SUCH AS FOG OVER THE COMPLEX TERRAIN (ZHANG AND PU 2019). MEANWHILE, THEIR STUDIES INDICATED THAT SOIL MOISTURE HAS SUBSTANTIAL IMPLICATIONS FOR THE HURRICANE/TROPICAL CYCLONE INLAND EVOLUTION (ZHANG ET AL., 2019). FOLLOWING THE PREVIOUS PROGRESS, THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO EXAMINE THE IMPACT OF CYGNSS SOIL MOISTURE DATA PRODUCTS ON IMPROVING THE PREDICTION OF THE HIGH IMPACT WEATHER SYSTEMS, INCLUDING 1) HEAVY RAINFALLS OVER U.S. GREAT PLAINS THAT CAUSE FLOODS AND 2) STRONG WIND AND PRECIPITATION CAUSED BY INLAND EVOLUTION OF LANDFALLING HURRICANES, IN WHICH THE LANDATMOSPHERE INTERACTIONS ARE ESSENTIAL FOR ACCURATE PREDICTION. WE PROPOSE TO ACHIEVE THIS GOAL BY ASSIMILATING CYGNSS SOIL MOISTURE DATA, ALONG WITH MULTI-SATELLITE SOIL MOISTURE RETRIEVALS, SUCH AS THESE FROM SMAP, SMOS, AND OTHERS FROM THE NOAA SOIL MOISTURE PRODUCTS SYSTEM (SMOPS) INTO THE COMMUNITY WEATHER RESEARCH AND FORECASTING (WRF) MODEL COUPLED WITH NOAH (OR NOAH-MP) LAND SURFACE MODEL, IN CONJUNCTION WITH NEAR-SURFACE ATMOSPHERIC OBSERVATIONS AND OTHER CONVENTIONAL AND SATELLITE DATA USING A STRONGLY COUPLED LAND-ATMOSPHERE DATA ASSIMILATION. SPECIFICALLY, WE WILL: FURTHER, ENHANCE THE CAPABILITY OF STRONG

University Of Utah

$458,623.00

Nov. 20, 2024

Salt Lake City, Utah 84112-9003 United States

Regents Of The University Of Michigan

CYGNSS Mission Extension Support