6 THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO CONTRIBUTE TO THE EVALUATION AND IMPROVEMENT OF GLOBAL PRECIPITATION MEASUREMENT MISSION (GPM) PRECIPITATION RETRIEVAL ALGORITHMS BY CONSOLIDATING, PERFORMING SCIENTIFIC INVESTIGATIONS WITH, AND PROVIDING VALUE ADDED INFORMATION FROM THE USE OF MICROPHYSICAL AND REMOTE SENSING DATA COLLECTED DURING THE GPM GROUND VALIDATION (GV) FIELD CAMPAIGNS. OUR GROUP AT ILLINOIS HAS BEEN HEAVILY INVOLVED IN AND THE PI HAS CO-LED THE PARTICLE SIZE DISTRIBUTION (PSD) WORKING GROUP UNDER THE CURRENT PRECIPITATION MEASUREMENT MISSIONS (PMM) FUNDING CYCLE, AND OUR UNIQUE COLLABORATION AT THE UNIVERSITY OF ILLINOIS PROVIDES THE SCIENCE TEAM WITH DEEP EXPERTISE IN REMOTE SENSING AND IN SITU MICROPHYSICS FOR THE IMPROVEMENT OF GPM ALGORITHMS THROUGH TAILORED ANALYSIS OF GPM FIELD CAMPAIGN DATA. THE SPECIFIC AIMS OF THE PROPOSED PROJECT INCLUDE: (1) USE DATA FROM ALL GPM FIELD CAMPAIGNS TO STATISTICALLY CHARACTERIZE CLOUD AND PRECIPITATION PROPERTIES, INCLUDING PSDS, MASS AND SCATTERING PROPERTIES, AND ANCILLARY CLOUD PROPERTIES SUCH AS CLOUD LIQUID WATER AND AXIAL/ASPECT RATIOS, FROM THE SURFACE AND THROUGH THE VERTICAL COLUMN, AND ACROSS COLUMNS, FOR USE IN CURRENT AND FUTURE PROBABILISTIC RETRIEVAL ALGORITHMS, AND TO QUANTIFY TO WHAT DEGREE UNCERTAINTIES IN OBSERVED PSDS, PARTICLE MORPHOLOGIES, HYDROMETEOR MASS PROPERTIES, SCATTERING AND EMISSION PROPERTIES, AND ANCILLARY CLOUD PROPERTIES IMPACT RETRIEVALS FOR UNCERTAINTY ESTIMATION IN PRECIPITATION ALGORITHMS. (2) IDENTIFY REGIMES BY WHICH A PRIORI COLUMN MICROPHYSICAL CHARACTERISTICS SHOULD CHANGE (BASED ON GPM-GV OBSERVED COLUMN MICROPHYSICAL AND RADIATIVE CHARACTERISTICS, AND PHYSICAL PROCESS UNDERSTANDING), AND EXAMINE THE OBSERVABLE STRUCTURAL CHARACTERISTICS AND RELATIONSHIPS BETWEEN ENVIRONMENTAL CONDITIONS THAT LEAD TO THESE REGIMES SUCH THAT THEY CAN BE IDENTIFIED IN SPACEBORNE PRECIPITATION RETRIEVALS. WE WILL FOCUS ON MID- AND HIGH-LATITUDE PRECIPITATION WHERE GPM-GV HAS COLLECTED MEASUREMENTS AND HIGH UNCERTAINTY EXISTS IN PSD CHARACTERISTICS IN THE VERTICAL COLUMN. WE WILL BRING INTO OUR ANALYSES THE RECENTLY-COLLECTED IPHEX AND TO BE COLLECTED OLYMPEX DATA WHERE THE HIGHEST QUALITY AIRCRAFT AND RADAR DATA HAVE BEEN/WILL BE COLLECTED, EXTENDING OUR EXTENSIVE MULTI-FACETED INVESTIGATIONS USING LPVEX, MC3E, AND GCPEX DATA. WE ENVISION OUR ANALYSES, THROUGH THE COLLABORATIVE NATURE OF THE PIS, TO HAVE DIRECT IMPACT ON THE RADAR, PASSIVE MICROWAVE, AND COMBINED ALGORITHMS, AS WELL AS PROVIDE DATASETS FOR FUTURE PRECIPITATION MEASUREMENT MISSIONS. THE GV DATASETS COLLECTED IN GPM REPRESENT SOME OF THE MOST COMPREHENSIVE GROUND AND AIRCRAFT-BASED IN SITU AND REMOTE SENSING DATASETS EVER COLLECTED, AND IT IS THE GOAL OF OUR PROPOSAL TO ENSURE THAT THESE DATASETS BE USED TO THEIR FULL POTENTIAL FOR THE BENEFIT OF GLOBAL PRECIPITATION RETRIEVALS. Funding Only Action ($8k) 6/27/22 Not listed THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO CONTRIBUTE TO THE EVALUATION AND IMPROVEMENT OF GLOBAL PRECIPITATION MEASUREMENT MISSION (GPM) PRECIPITATION RETRIEVAL ALGORITHMS BY CONSOLIDATING PERFORMING SCIENTIFIC INVESTIGATIONS WITH AND PROVIDING VALUE ADDED INFORMATION FROM THE USE OF MICROPHYSICAL AND REMOTE SENSING DATA COLLECTED DURING THE GPM GROUND VALIDATION (GV) FIELDCAMPAIGNS. OUR GROUP AT ILLINOIS HAS BEEN HEAVILY INVOLVED IN AND THE PI HAS CO-LED THE PARTICLE SIZE DISTRIBUTION (PSD) WORKING GROUP UNDER THE CURRENT PRECIPITATION MEASUREMENT MISSIONS (PMM) FUNDING CYCLE AND OUR UNIQUE COLLABORATION AT THE UNIVERSITY OF ILLINOIS PROVIDES THE SCIENCE TEAM WITH DEEP EXPERTISE IN REMOTE SENSING AND IN SITU MICROPHYSICS FOR THE IMPROVEMENT OF GPM ALGORITHMS THROUGH TAILORED ANALYSIS OF GPM FIELD CAMPAIGN DATA.THE SPECIFIC AIMS OF THE PROPOSED PROJECT INCLUDE:(1) USE DATA FROM ALL GPM FIELD CAMPAIGNS TO STATISTICALLY CHARACTERIZE CLOUD AND PRECIPITATION PROPERTIES INCLUDING PSDS MASS AND SCATTERING PROPERTIES AND ANCILLARY CLOUD PROPERTIES SUCH AS CLOUD LIQUID WATER AND AXIAL/ASPECT RATIOS FROM THE SURFACE AND THROUGH THE VERTICAL COLUMN AND ACROSS COLUMNS FOR USE IN CURRENT AND FUTURE PROBABILISTIC RETRIEVAL ALGORITHMS AND TO QUANTIFY TO WHATDEGREE UNCERTAINTIES IN OBSERVED PSDS PARTICLE MORPHOLOGIES HYDROMETEOR MASS PROPERTIES SCATTERING AND EMISSION PROPERTIES AND ANCILLARY CLOUD PROPERTIES IMPACT RETRIEVALS FOR UNCERTAINTY ESTIMATION IN PRECIPITATION ALGORITHMS.(2) IDENTIFY REGIMES BY WHICH A PRIORI COLUMN MICROPHYSICAL CHARACTERISTICS SHOULD CHANGE (BASED ON GPM-GV OBSERVED COLUMN MICROPHYSICAL AND RADIATIVE CHARACTERISTICS AND PHYSICAL PROCESS UNDERSTANDING) AND EXAMINE THE OBSERVABLE STRUCTURAL CHARACTERISTICS AND RELATIONSHIPS BETWEEN ENVIRONMENTAL CONDITIONS THAT LEAD TO THESE REGIMES SUCH THAT THEY CAN BE IDENTIFIED IN SPACEBORNE PRECIPITATION RETRIEVALS. WE WILL FOCUS ON MID- AND HIGH-LATITUDE PRECIPITATION WHERE GPM-GV HAS COLLECTED MEASUREMENTSAND HIGH UNCERTAINTY EXISTS IN PSD CHARACTERISTICS IN THE VERTICAL COLUMN.WE WILL BRING INTO OUR ANALYSES THE RECENTLY-COLLECTED IPHEX AND TO BE COLLECTED OLYMPEX DATA WHERE THE HIGHEST QUALITY AIRCRAFT AND RADAR DATA HAVE BEEN/WILL BE COLLECTED EXTENDING OUR EXTENSIVE MULTI-FACETED INVESTIGATIONS USING LPVEX MC3E AND GCPEX DATA.WE ENVISION OUR ANALYSES THROUGH THE COLLABORATIVE NATURE OF THE PIS TO HAVE DIRECT IMPACT ON THE RADAR PASSIVE MICROWAVE AND COMBINED ALGORITHMS AS WELL AS PROVIDE DATASETS FOR FUTURE PRECIPITATION MEASUREMENT MISSIONS. THE GV DATASETS COLLECTED IN GPM REPRESENT SOME OF THE MOST COMPREHENSIVE GROUND AND AIRCRAFT-BASED IN SITU AND REMOTE SENSING DATASETS EVER COLLECTED AND IT IS THE GOAL OF OUR PROPOSAL TO ENSURE THAT THESE DATASETS BE USED TO THEIR FULL POTENTIAL FOR THE BENEFIT OF GLOBAL PRECIPITATION RETRIEVALS. ($8k) 6/27/22 5 THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO CONTRIBUTE TO THE EVALUATION AND IMPROVEMENT OF GLOBAL PRECIPITATION MEASUREMENT MISSION (GPM) PRECIPITATION RETRIEVAL ALGORITHMS BY CONSOLIDATING, PERFORMING SCIENTIFIC INVESTIGATIONS WITH, AND PROVIDING VALUE ADDED INFORMATION FROM THE USE OF MICROPHYSICAL AND REMOTE SENSING DATA COLLECTED DURING THE GPM GROUND VALIDATION (GV) FIELD CAMPAIGNS. OUR GROUP AT ILLINOIS HAS BEEN HEAVILY INVOLVED IN AND THE PI HAS CO-LED THE PARTICLE SIZE DISTRIBUTION (PSD) WORKING GROUP UNDER THE CURRENT PRECIPITATION MEASUREMENT MISSIONS (PMM) FUNDING CYCLE, AND OUR UNIQUE COLLABORATION AT THE UNIVERSITY OF ILLINOIS PROVIDES THE SCIENCE TEAM WITH DEEP EXPERTISE IN REMOTE SENSING AND IN SITU MICROPHYSICS FOR THE IMPROVEMENT OF GPM ALGORITHMS THROUGH TAILORED ANALYSIS OF GPM FIELD CAMPAIGN DATA. THE SPECIFIC AIMS OF THE PROPOSED PROJECT INCLUDE: (1) USE DATA FROM ALL GPM FIELD CAMPAIGNS TO STATISTICALLY CHARACTERIZE CLOUD AND PRECIPITATION PROPERTIES, INCLUDING PSDS, MASS AND SCATTERING PROPERTIES, AND ANCILLARY CLOUD PROPERTIES SUCH AS CLOUD LIQUID WATER AND AXIAL/ASPECT RATIOS, FROM THE SURFACE AND THROUGH THE VERTICAL COLUMN, AND ACROSS COLUMNS, FOR USE IN CURRENT AND FUTURE PROBABILISTIC RETRIEVAL ALGORITHMS, AND TO QUANTIFY TO WHAT DEGREE UNCERTAINTIES IN OBSERVED PSDS, PARTICLE MORPHOLOGIES, HYDROMETEOR MASS PROPERTIES, SCATTERING AND EMISSION PROPERTIES, AND ANCILLARY CLOUD PROPERTIES IMPACT RETRIEVALS FOR UNCERTAINTY ESTIMATION IN PRECIPITATION ALGORITHMS. (2) IDENTIFY REGIMES BY WHICH A PRIORI COLUMN MICROPHYSICAL CHARACTERISTICS SHOULD CHANGE (BASED ON GPM-GV OBSERVED COLUMN MICROPHYSICAL AND RADIATIVE CHARACTERISTICS, AND PHYSICAL PROCESS UNDERSTANDING), AND EXAMINE THE OBSERVABLE STRUCTURAL CHARACTERISTICS AND RELATIONSHIPS BETWEEN ENVIRONMENTAL CONDITIONS THAT LEAD TO THESE REGIMES SUCH THAT THEY CAN BE IDENTIFIED IN SPACEBORNE PRECIPITATION RETRIEVALS. WE WILL FOCUS ON MID- AND HIGH-LATITUDE PRECIPITATION WHERE GPM-GV HAS COLLECTED MEASUREMENTS AND HIGH UNCERTAINTY EXISTS IN PSD CHARACTERISTICS IN THE VERTICAL COLUMN. WE WILL BRING INTO OUR ANALYSES THE RECENTLY-COLLECTED IPHEX AND TO BE COLLECTED OLYMPEX DATA WHERE THE HIGHEST QUALITY AIRCRAFT AND RADAR DATA HAVE BEEN/WILL BE COLLECTED, EXTENDING OUR EXTENSIVE MULTI-FACETED INVESTIGATIONS USING LPVEX, MC3E, AND GCPEX DATA. WE ENVISION OUR ANALYSES, THROUGH THE COLLABORATIVE NATURE OF THE PIS, TO HAVE DIRECT IMPACT ON THE RADAR, PASSIVE MICROWAVE, AND COMBINED ALGORITHMS, AS WELL AS PROVIDE DATASETS FOR FUTURE PRECIPITATION MEASUREMENT MISSIONS. THE GV DATASETS COLLECTED IN GPM REPRESENT SOME OF THE MOST COMPREHENSIVE GROUND AND AIRCRAFT-BASED IN SITU AND REMOTE SENSING DATASETS EVER COLLECTED, AND IT IS THE GOAL OF OUR PROPOSAL TO ENSURE THAT THESE DATASETS BE USED TO THEIR FULL POTENTIAL FOR THE BENEFIT OF GLOBAL PRECIPITATION RETRIEVALS. Other Administrative Action $0 5/4/20 Not listed THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO CONTRIBUTE TO THE EVALUATION AND IMPROVEMENT OF GLOBAL PRECIPITATION MEASUREMENT MISSION (GPM) PRECIPITATION RETRIEVAL ALGORITHMS BY CONSOLIDATING PERFORMING SCIENTIFIC INVESTIGATIONS WITH AND PROVIDING VALUE ADDED INFORMATION FROM THE USE OF MICROPHYSICAL AND REMOTE SENSING DATA COLLECTED DURING THE GPM GROUND VALIDATION (GV) FIELDCAMPAIGNS. OUR GROUP AT ILLINOIS HAS BEEN HEAVILY INVOLVED IN AND THE PI HAS CO-LED THE PARTICLE SIZE DISTRIBUTION (PSD) WORKING GROUP UNDER THE CURRENT PRECIPITATION MEASUREMENT MISSIONS (PMM) FUNDING CYCLE AND OUR UNIQUE COLLABORATION AT THE UNIVERSITY OF ILLINOIS PROVIDES THE SCIENCE TEAM WITH DEEP EXPERTISE IN REMOTE SENSING AND IN SITU MICROPHYSICS FOR THE IMPROVEMENT OF GPM ALGORITHMS THROUGH TAILORED ANALYSIS OF GPM FIELD CAMPAIGN DATA.THE SPECIFIC AIMS OF THE PROPOSED PROJECT INCLUDE:(1) USE DATA FROM ALL GPM FIELD CAMPAIGNS TO STATISTICALLY CHARACTERIZE CLOUD AND PRECIPITATION PROPERTIES INCLUDING PSDS MASS AND SCATTERING PROPERTIES AND ANCILLARY CLOUD PROPERTIES SUCH AS CLOUD LIQUID WATER AND AXIAL/ASPECT RATIOS FROM THE SURFACE AND THROUGH THE VERTICAL COLUMN AND ACROSS COLUMNS FOR USE IN CURRENT AND FUTURE PROBABILISTIC RETRIEVAL ALGORITHMS AND TO QUANTIFY TO WHATDEGREE UNCERTAINTIES IN OBSERVED PSDS PARTICLE MORPHOLOGIES HYDROMETEOR MASS PROPERTIES SCATTERING AND EMISSION PROPERTIES AND ANCILLARY CLOUD PROPERTIES IMPACT RETRIEVALS FOR UNCERTAINTY ESTIMATION IN PRECIPITATION ALGORITHMS.(2) IDENTIFY REGIMES BY WHICH A PRIORI COLUMN MICROPHYSICAL CHARACTERISTICS SHOULD CHANGE (BASED ON GPM-GV OBSERVED COLUMN MICROPHYSICAL AND RADIATIVE CHARACTERISTICS AND PHYSICAL PROCESS UNDERSTANDING) AND EXAMINE THE OBSERVABLE STRUCTURAL CHARACTERISTICS AND RELATIONSHIPS BETWEEN ENVIRONMENTAL CONDITIONS THAT LEAD TO THESE REGIMES SUCH THAT THEY CAN BE IDENTIFIED IN SPACEBORNE PRECIPITATION RETRIEVALS. WE WILL FOCUS ON MID- AND HIGH-LATITUDE PRECIPITATION WHERE GPM-GV HAS COLLECTED MEASUREMENTSAND HIGH UNCERTAINTY EXISTS IN PSD CHARACTERISTICS IN THE VERTICAL COLUMN.WE WILL BRING INTO OUR ANALYSES THE RECENTLY-COLLECTED IPHEX AND TO BE COLLECTED OLYMPEX DATA WHERE THE HIGHEST QUALITY AIRCRAFT AND RADAR DATA HAVE BEEN/WILL BE COLLECTED EXTENDING OUR EXTENSIVE MULTI-FACETED INVESTIGATIONS USING LPVEX MC3E AND GCPEX DATA.WE ENVISION OUR ANALYSES THROUGH THE COLLABORATIVE NATURE OF THE PIS TO HAVE DIRECT IMPACT ON THE RADAR PASSIVE MICROWAVE AND COMBINED ALGORITHMS AS WELL AS PROVIDE DATASETS FOR FUTURE PRECIPITATION MEASUREMENT MISSIONS. THE GV DATASETS COLLECTED IN GPM REPRESENT SOME OF THE MOST COMPREHENSIVE GROUND AND AIRCRAFT-BASED IN SITU AND REMOTE SENSING DATASETS EVER COLLECTED AND IT IS THE GOAL OF OUR PROPOSAL TO ENSURE THAT THESE DATASETS BE USED TO THEIR FULL POTENTIAL FOR THE BENEFIT OF GLOBAL PRECIPITATION RETRIEVALS. $0 5/4/20 Not listed THE OVERARCHING GOAL OF THE PROPOSED WORK IS TO CONTRIBUTE TO THE EVALUATION AND IMPROVEMENT OF GLOBAL PRECIPITATION MEASUREMENT MISSION (GPM) PRECIPITATION RETRIEVAL ALGORITHMS BY CONSOLIDATING PERFORMING SCIENTIFIC INVESTIGATIONS WITH AND PROVIDING VALUE ADDED INFORMATION FROM THE USE OF MICROPHYSICAL AND REMOTE SENSING DATA COLLECTED DURING THE GPM GROUND VALIDATION (GV) FIELDCAMPAIGNS. OUR GROUP AT ILLINOIS HAS BEEN HEAVILY INVOLVED IN AND THE PI HAS CO-LED THE PARTICLE SIZE DISTRIBUTION (PSD) WORKING GROUP UNDER THE CURRENT PRECIPITATION MEASUREMENT MISSIONS (PMM) FUNDING CYCLE AND OUR UNIQUE COLLABORATION AT THE UNIVERSITY OF ILLINOIS PROVIDES THE SCIENCE TEAM WITH DEEP EXPERTISE IN REMOTE SENSING AND IN SITU MICROPHYSICS FOR THE IMPROVEMENT OF GPM ALGORITHMS THROUGH TAILORED ANALYSIS OF GPM FIELD CAMPAIGN DATA.THE SPECIFIC AIMS OF THE PROPOSED PROJECT INCLUDE:(1) USE DATA FROM ALL GPM FIELD CAMPAIGNS TO STATISTICALLY CHARACTERIZE CLOUD AND PRECIPITATION PROPERTIES INCLUDING PSDS MASS AND SCATTERING PROPERTIES AND ANCILLARY CLOUD PROPERTIES SUCH AS CLOUD LIQUID WATER AND AXIAL/ASPECT RATIOS FROM THE SURFACE AND THROUGH THE VERTICAL COLUMN AND ACROSS COLUMNS FOR USE IN CURRENT AND FUTURE PROBABILISTIC RETRIEVAL ALGORITHMS AND TO QUANTIFY TO WHATDEGREE UNCERTAINTIES IN OBSERVED PSDS PARTICLE MORPHOLOGIES HYDROMETEOR MASS PROPERTIES SCATTERING AND EMISSION PROPERTIES AND ANCILLARY CLOUD PROPERTIES IMPACT RETRIEVALS FOR UNCERTAINTY ESTIMATION IN PRECIPITATION ALGORITHMS.(2) IDENTIFY REGIMES BY WHICH A PRIORI COLUMN MICROPHYSICAL CHARACTERISTICS SHOULD CHANGE (BASED ON GPM-GV OBSERVED COLUMN MICROPHYSICAL AND RADIATIVE CHARACTERISTICS AND PHYSICAL PROCESS UNDERSTANDING) AND EXAMINE THE OBSERVABLE STRUCTURAL CHARACTERISTICS AND RELATIONSHIPS BETWEEN ENVIRONMENTAL CONDITIONS THAT LEAD TO THESE REGIMES SUCH THAT THEY CAN BE IDENTIFIED IN SPACEBORNE PRECIPITATION RETRIEVALS. WE WILL FOCUS ON MID- AND HIGH-LATITUDE PRECIPITATION WHERE GPM-GV HAS COLLECTED MEASUREMENTSAND HIGH UNCERTAINTY EXISTS IN PSD CHARACTERISTICS IN THE VERTICAL COLUMN.WE WILL BRING INTO OUR ANALYSES THE RECENTLY-COLLECTED IPHEX AND TO BE COLLECTED OLYMPEX DATA WHERE THE HIGHEST QUALITY AIRCRAFT AND RADAR DATA HAVE BEEN/WILL BE COLLECTED EXTENDING OUR EXTENSIVE MULTI-FACETED INVESTIGATIONS USING LPVEX MC3E AND GCPEX DATA.WE ENVISION OUR ANALYSES THROUGH THE COLLABORATIVE NATURE OF THE PIS TO HAVE DIRECT IMPACT ON THE RADAR PASSIVE MICROWAVE AND COMBINED ALGORITHMS AS WELL AS PROVIDE DATASETS FOR FUTURE PRECIPITATION MEASUREMENT MISSIONS. THE GV DATASETS COLLECTED IN GPM REPRESENT SOME OF THE MOST COMPREHENSIVE GROUND AND AIRCRAFT-BASED IN SITU AND REMOTE SENSING DATASETS EVER COLLECTED AND IT IS THE GOAL OF OUR PROPOSAL TO ENSURE THAT THESE DATASETS BE USED TO THEIR FULL POTENTIAL FOR THE BENEFIT OF GLOBAL PRECIPITATION RETRIEVALS. $0 3/12/19