P00002 THE RELIABLE QUANTIFICATION OF EXTREME RAINFALL EVENTS IS A MAJOR CHALLENGE IN EARTH S SYSTEM SCIENCE, WITH MULTIPLE PRACTICAL AND CONCEPTUAL IMPLICATIONS. RAINFALL FIELDS ARE NOTORIOUSLY DIFFICULT TO BOTH MEASURE AND MODEL, DUE TO THEIR SPACE-TIME INTERMITTENCY. RAINFALL SPACE-TIME VARIABILITY, IN FACT, STRONGLY LIMITS OUR ABILITY TO MANAGE WATER RESOURCES AND TO PROTECT COMMUNITIES FROM NATURAL DISASTERS. HOWEVER, THE DEVELOPMENT OF SATELLITE-BASED RAINFALL ESTIMATION, ESPECIALLY THE TROPICAL RAINFALL MEASUREMENT MISSION (TRMM) AND THE GLOBAL PRECIPITATION MISSION (GPM), HAS REMARKABLY IMPROVED OUR ABILITY TO SAMPLE RAINFALL FIELDS WITH INCREASING SPATIAL RESOLUTION AND QUASI-GLOBAL COVERAGE. OUR ABILITY TO MODEL AND ESTIMATE THE FREQUENCY AND MAGNITUDE OF FUTURE RAINFALL EXTREMES HAS NOT, HOWEVER, PROGRESSED SIMILARLY FAST. AMONG OTHER LIMITATIONS, TRADITIONAL STATISTICAL METHODS DO NOT MAKE OPTIMAL USE OF THE AVAILABLE DATA, NOR ARE THEY DESIGNED TO ACCOUNT FOR INTERANNUAL VARIABILITY. TO PRODUCE A RELIABLE GLOBAL MAPPING OF RAINFALL EXTREMES, I WILL THUS FURTHER DEVELOP AND APPLY A RECENT STATISTICAL APPROACH, THE METASTATISTICAL EXTREME VALUE DISTRIBUTION (MEVD), TO SATELLITE ESTIMATES OF RAINFALL. THIS APPROACH FULLY ACCOUNTS FOR LONG-TERM RAINFALL VARIABILITY AND MAKES USE OF ALL AVAILABLE OBSERVATIONS, SUCH THAT IT CAN CRITICALLY IMPROVE EXTREME EVENT ESTIMATES INFERRED FROM 19 YEARS OF TRMM+GPM OBSERVATIONS. THIS PROJECT WILL GENERATE AN EXTREME EVENT ESTIMATION APPROACH TAILORED FOR USE WITH TRMM AND GPM DATA AND A FREELY AVAILABLE TOOLKIT TO MAP DAILY RAINFALL EXTREMES AT THE GLOBAL SCALE. THIS CONTRIBUTION WILL LEVERAGE NASA S EXISTING TECHNOLOGY IN THE PURSUIT OF TWO OF THE CORE AGENCY S GOALS: A BETTER UNDERSTANDING OF NATURAL DISASTER OCCURRENCE AND THE MITIGATION OF THEIR IMPACTS ON COMMUNITIES AND THE ENVIRONMENT. Funding Only Action $45.0k 6/28/19 Not listed THE RELIABLE QUANTIFICATION OF EXTREME RAINFALL EVENTS IS A MAJOR CHALLENGE IN EARTH S SYSTEM SCIENCE WITH MULTIPLE PRACTICAL AND CONCEPTUAL IMPLICATIONS. RAINFALL FIELDS ARE NOTORIOUSLY DIFFICULT TO BOTH MEASURE AND MODEL DUE TO THEIR SPACE-TIME INTERMITTENCY. RAINFALL SPACE-TIME VARIABILITY IN FACT STRONGLY LIMITS OUR ABILITY TO MANAGE WATER RESOURCES AND TO PROTECT COMMUNITIES FROM NATURAL DISASTERS. HOWEVER THE DEVELOPMENT OF SATELLITE-BASED RAINFALL ESTIMATION ESPECIALLY THE TROPICAL RAINFALL MEASUREMENT MISSION (TRMM) AND THE GLOBAL PRECIPITATION MISSION (GPM) HAS REMARKABLY IMPROVED OUR ABILITY TO SAMPLE RAINFALL FIELDS WITH INCREASING SPATIAL RESOLUTION AND QUASI-GLOBAL COVERAGE. OUR ABILITY TO MODEL AND ESTIMATE THE FREQUENCY AND MAGNITUDE OF FUTURE RAINFALL EXTREMES HAS NOT HOWEVER PROGRESSED SIMILARLY FAST. AMONG OTHER LIMITATIONS TRADITIONAL STATISTICAL METHODS DO NOT MAKE OPTIMAL USE OF THE AVAILABLE DATA NOR ARE THEY DESIGNED TO ACCOUNT FOR INTERANNUAL VARIABILITY. TO PRODUCE A RELIABLE GLOBAL MAPPING OF RAINFALL EXTREMES I WILL THUS FURTHER DEVELOP AND APPLY A RECENT STATISTICAL APPROACH THE METASTATISTICAL EXTREME VALUE DISTRIBUTION (MEVD) TO SATELLITE ESTIMATES OF RAINFALL. THIS APPROACH FULLY ACCOUNTS FOR LONG-TERM RAINFALL VARIABILITY AND MAKES USE OF ALL AVAILABLE OBSERVATIONS SUCH THAT IT CAN CRITICALLY IMPROVE EXTREME EVENT ESTIMATES INFERRED FROM 19 YEARS OF TRMM+GPM OBSERVATIONS. THIS PROJECT WILL GENERATE AN EXTREME EVENT ESTIMATION APPROACH TAILORED FOR USE WITH TRMM AND GPM DATA AND A FREELY AVAILABLE TOOLKIT TO MAP DAILY RAINFALL EXTREMES AT THE GLOBAL SCALE. THIS CONTRIBUTION WILL LEVERAGE NASA S EXISTING TECHNOLOGY IN THE PURSUIT OF TWO OF THE CORE AGENCY S GOALS: A BETTER UNDERSTANDING OF NATURAL DISASTER OCCURRENCE AND THE MITIGATION OF THEIR IMPACTS ON COMMUNITIES AND THE ENVIRONMENT. $45.0k 6/28/19 Not listed THE RELIABLE QUANTIFICATION OF EXTREME RAINFALL EVENTS IS A MAJOR CHALLENGE IN EARTH S SYSTEM SCIENCE WITH MULTIPLE PRACTICAL AND CONCEPTUAL IMPLICATIONS. RAINFALL FIELDS ARE NOTORIOUSLY DIFFICULT TO BOTH MEASURE AND MODEL DUE TO THEIR SPACE-TIME INTERMITTENCY. RAINFALL SPACE-TIME VARIABILITY IN FACT STRONGLY LIMITS OUR ABILITY TO MANAGE WATER RESOURCES AND TO PROTECT COMMUNITIES FROM NATURAL DISASTERS. HOWEVER THE DEVELOPMENT OF SATELLITE-BASED RAINFALL ESTIMATION ESPECIALLY THE TROPICAL RAINFALL MEASUREMENT MISSION (TRMM) AND THE GLOBAL PRECIPITATION MISSION (GPM) HAS REMARKABLY IMPROVED OUR ABILITY TO SAMPLE RAINFALL FIELDS WITH INCREASING SPATIAL RESOLUTION AND QUASI-GLOBAL COVERAGE. OUR ABILITY TO MODEL AND ESTIMATE THE FREQUENCY AND MAGNITUDE OF FUTURE RAINFALL EXTREMES HAS NOT HOWEVER PROGRESSED SIMILARLY FAST. AMONG OTHER LIMITATIONS TRADITIONAL STATISTICAL METHODS DO NOT MAKE OPTIMAL USE OF THE AVAILABLE DATA NOR ARE THEY DESIGNED TO ACCOUNT FOR INTERANNUAL VARIABILITY. TO PRODUCE A RELIABLE GLOBAL MAPPING OF RAINFALL EXTREMES I WILL THUS FURTHER DEVELOP AND APPLY A RECENT STATISTICAL APPROACH THE METASTATISTICAL EXTREME VALUE DISTRIBUTION (MEVD) TO SATELLITE ESTIMATES OF RAINFALL. THIS APPROACH FULLY ACCOUNTS FOR LONG-TERM RAINFALL VARIABILITY AND MAKES USE OF ALL AVAILABLE OBSERVATIONS SUCH THAT IT CAN CRITICALLY IMPROVE EXTREME EVENT ESTIMATES INFERRED FROM 19 YEARS OF TRMM+GPM OBSERVATIONS. THIS PROJECT WILL GENERATE AN EXTREME EVENT ESTIMATION APPROACH TAILORED FOR USE WITH TRMM AND GPM DATA AND A FREELY AVAILABLE TOOLKIT TO MAP DAILY RAINFALL EXTREMES AT THE GLOBAL SCALE. THIS CONTRIBUTION WILL LEVERAGE NASA S EXISTING TECHNOLOGY IN THE PURSUIT OF TWO OF THE CORE AGENCY S GOALS: A BETTER UNDERSTANDING OF NATURAL DISASTER OCCURRENCE AND THE MITIGATION OF THEIR IMPACTS ON COMMUNITIES AND THE ENVIRONMENT. $45.0k 8/8/18 P00001 THE RELIABLE QUANTIFICATION OF EXTREME RAINFALL EVENTS IS A MAJOR CHALLENGE IN EARTH S SYSTEM SCIENCE, WITH MULTIPLE PRACTICAL AND CONCEPTUAL IMPLICATIONS. RAINFALL FIELDS ARE NOTORIOUSLY DIFFICULT TO BOTH MEASURE AND MODEL, DUE TO THEIR SPACE-TIME INTERMITTENCY. RAINFALL SPACE-TIME VARIABILITY, IN FACT, STRONGLY LIMITS OUR ABILITY TO MANAGE WATER RESOURCES AND TO PROTECT COMMUNITIES FROM NATURAL DISASTERS. HOWEVER, THE DEVELOPMENT OF SATELLITE-BASED RAINFALL ESTIMATION, ESPECIALLY THE TROPICAL RAINFALL MEASUREMENT MISSION (TRMM) AND THE GLOBAL PRECIPITATION MISSION (GPM), HAS REMARKABLY IMPROVED OUR ABILITY TO SAMPLE RAINFALL FIELDS WITH INCREASING SPATIAL RESOLUTION AND QUASI-GLOBAL COVERAGE. OUR ABILITY TO MODEL AND ESTIMATE THE FREQUENCY AND MAGNITUDE OF FUTURE RAINFALL EXTREMES HAS NOT, HOWEVER, PROGRESSED SIMILARLY FAST. AMONG OTHER LIMITATIONS, TRADITIONAL STATISTICAL METHODS DO NOT MAKE OPTIMAL USE OF THE AVAILABLE DATA, NOR ARE THEY DESIGNED TO ACCOUNT FOR INTERANNUAL VARIABILITY. TO PRODUCE A RELIABLE GLOBAL MAPPING OF RAINFALL EXTREMES, I WILL THUS FURTHER DEVELOP AND APPLY A RECENT STATISTICAL APPROACH, THE METASTATISTICAL EXTREME VALUE DISTRIBUTION (MEVD), TO SATELLITE ESTIMATES OF RAINFALL. THIS APPROACH FULLY ACCOUNTS FOR LONG-TERM RAINFALL VARIABILITY AND MAKES USE OF ALL AVAILABLE OBSERVATIONS, SUCH THAT IT CAN CRITICALLY IMPROVE EXTREME EVENT ESTIMATES INFERRED FROM 19 YEARS OF TRMM+GPM OBSERVATIONS. THIS PROJECT WILL GENERATE AN EXTREME EVENT ESTIMATION APPROACH TAILORED FOR USE WITH TRMM AND GPM DATA AND A FREELY AVAILABLE TOOLKIT TO MAP DAILY RAINFALL EXTREMES AT THE GLOBAL SCALE. THIS CONTRIBUTION WILL LEVERAGE NASA S EXISTING TECHNOLOGY IN THE PURSUIT OF TWO OF THE CORE AGENCY S GOALS: A BETTER UNDERSTANDING OF NATURAL DISASTER OCCURRENCE AND THE MITIGATION OF THEIR IMPACTS ON COMMUNITIES AND THE ENVIRONMENT. Funding Only Action $45.0k 8/8/18 Not listed THE RELIABLE QUANTIFICATION OF EXTREME RAINFALL EVENTS IS A MAJOR CHALLENGE IN EARTH S SYSTEM SCIENCE, WITH MULTIPLE PRACTICAL AND CONCEPTUAL IMPLICATIONS. RAINFALL FIELDS ARE NOTORIOUSLY DIFFICULT TO BOTH MEASURE AND MODEL, DUE TO THEIR SPACE-TIME INTERMITTENCY. RAINFALL SPACE-TIME VARIABILITY, IN FACT, STRONGLY LIMITS OUR ABILITY TO MANAGE WATER RESOURCES AND TO PROTECT COMMUNITIES FROM NATURAL DISASTERS. HOWEVER, THE DEVELOPMENT OF SATELLITE-BASED RAINFALL ESTIMATION, ESPECIALLY THE TROPICAL RAINFALL MEASUREMENT MISSION (TRMM) AND THE GLOBAL PRECIPITATION MISSION (GPM), HAS REMARKABLY IMPROVED OUR ABILITY TO SAMPLE RAINFALL FIELDS WITH INCREASING SPATIAL RESOLUTION AND QUASI-GLOBAL COVERAGE. OUR ABILITY TO MODEL AND ESTIMATE THE FREQUENCY AND MAGNITUDE OF FUTURE RAINFALL EXTREMES HAS NOT, HOWEVER, PROGRESSED SIMILARLY FAST. AMONG OTHER LIMITATIONS, TRADITIONAL STATISTICAL METHODS DO NOT MAKE OPTIMAL USE OF THE AVAILABLE DATA, NOR ARE THEY DESIGNED TO ACCOUNT FOR INTERANNUAL VARIABILITY. TO PRODUCE A RELIABLE GLOBAL MAPPING OF RAINFALL EXTREMES, I WILL THUS FURTHER DEVELOP AND APPLY A RECENT STATISTICAL APPROACH, THE METASTATISTICAL EXTREME VALUE DISTRIBUTION (MEVD), TO SATELLITE ESTIMATES OF RAINFALL. THIS APPROACH FULLY ACCOUNTS FOR LONG-TERM RAINFALL VARIABILITY AND MAKES USE OF ALL AVAILABLE OBSERVATIONS, SUCH THAT IT CAN CRITICALLY IMPROVE EXTREME EVENT ESTIMATES INFERRED FROM 19 YEARS OF TRMM+GPM OBSERVATIONS. THIS PROJECT WILL GENERATE AN EXTREME EVENT ESTIMATION APPROACH TAILORED FOR USE WITH TRMM AND GPM DATA AND A FREELY AVAILABLE TOOLKIT TO MAP DAILY RAINFALL EXTREMES AT THE GLOBAL SCALE. THIS CONTRIBUTION WILL LEVERAGE NASA S EXISTING TECHNOLOGY IN THE PURSUIT OF TWO OF THE CORE AGENCY S GOALS: A BETTER UNDERSTANDING OF NATURAL DISASTER OCCURRENCE AND THE MITIGATION OF THEIR IMPACTS ON COMMUNITIES AND THE ENVIRONMENT. Not listed $44.9k 8/18/17