Integrated Multi-satellite Evaluation for the Global Precipitation Measurement: Impact of Precipitation Types on Spaceborne Precipitation Estimation

摘要: An integrated multi-sensor assessment is proposed as a novel approach to advance satellite precipitation validation in order provide users and algorithm developers with an adequately coping the varying performances of merged estimates. Gridded rates retrieved from space sensors quasi-global coverage feed numerous applications ranging water budget studies forecasting natural hazards caused by extreme events. Characterizing error structure products recognized major issue for usefulness these The Global Precipitation Measurement (GPM) mission aims at unifying measurements constellation low-earth orbiting (LEO) various capabilities detect, classify quantify precipitation. They are used combination geostationary observations gridded accumulations. GPM Core Observatory serves calibration reference consistent retrieval algorithms across constellation. propagation QPE uncertainty LEO active/passive microwave (PMW) estimates addressed this study, focusing on impact typology Level-2 Dual-frequency Radar (DPR) Microwave Imager (GMI) Level-3 IMERG over Conterminous U.S. A high-resolution surface scales derived ground radar-based Multi-Radar/Multi-Sensor. While DPR, GMI subsequent complex because interaction factors, systematic biases related consistently quantified products. These display similar features Level-3, highlighting need better resolve room improvement global-scale analysis framework herein applies more generally sources affecting satellites