H200-0031
Evaluation of V05 Precipitation Estimates from GPM Constellation Radiometers Using KuPR as the Reference

Wednesday, 16 December 2020
Poster
Yalei You1, Veljko Petkovic2, Jackson Tan3, Rachael Kroodsma4,5, Wesley K Berg6, Christopher Kidd5 and Christa D Peters-Lidard7, (1)CISESS/ESSIC, University of Maryland, College PARK, MD, United States, (2)University of Maryland College Park, Cooperative Insititute for Satellite Earth System Studies, College Park, MD, United States, (3)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Earth System Science Interdisciplinary Center, College PARK, MD, United States, (6)Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, (7)NASA GSFC, Greenbelt, MD, United States
Abstract:
This study assesses the level-2 precipitation estimates from 10 radiometers relative to Global Precipitation Measurement (GPM) Ku-band precipitation radar (KuPR) in two parts. First, nine sensors—four imagers [Advanced Microwave Scanning Radiometer 2 (AMSR2) and three Special Sensor Microwave Imager/Sounders (SSMISs)] and five sounders [Advanced Technology Microwave Sounder (ATMS) and four Microwave Humidity Sounders (MHSs)]—are evaluated over the 65S–65N region. Over ocean, imagers outperform sounders, primarily due to the usage of low-frequency channels. Furthermore, AMSR2 is clearly superior to SSMISs, likely due to the finer footprint size. Over land all sensors perform similarly except the noticeably worse performance from ATMS and SSMIS-F17. Second, we include the Sondeur Atmospherique du Profil d’Humidite Intertropicale par Radiometrie (SAPHIR) into the evaluation process, contrasting it against other sensors in the SAPHIR latitudes (30S–30N). SAPHIR has a slightly worse detection capability than other sounders over ocean but comparable detection performance to MHSs over land. The intensity estimates from SAPHIR show a larger normalized root-mean-square-error over both land and ocean, likely because only 183.3-GHz channels are available. Currently, imagers are preferred to sounders when level-2 estimates are incorporated into level-3 products. Our results suggest a sensor-specific priority order. Over ocean, this study indicates a priority order of AMSR2, SSMISs, MHSs and ATMS, and SAPHIR. Over land, SSMIS-F17, ATMS and SAPHIR should be given a lower priority than the other sensors.