This study assessed the performance of two well-known gridded meteorological datasets, CFSR (Climate Forecast System Reanalysis) and CMADS (China Meteorological Assimilation Driving Datasets), three satellite-based precipitation TRMM (Tropical Rainfall Measuring Mission), CMORPH Prediction Center morphing technique), CHIRPS Hazards Group InfraRed Precipitation with Station data), in driving SWA...

This study evaluates the representativeness of two widely used next-generation global satellite precipitation estimates data for short-term over China, namely from Climate Prediction Center morphing (CMORPH) and Global Precipitation Measurement (GPM) mission. These sets were compared with hourly liquid in-situ China national surface stations 2016 to 2020. The results showed that GPM has better ...

Recent advancements in remote sensing have led to the development of several useful technologies that would significantly improve our understanding atmospheric sciences. The ability identify conditions and determine possibility intensity rainfall over a specific location represents one most important advantages. However, use measure precipitation arid regions has revealed significant disparitie...

The weather and climate over the coastal regions have received increasing attention because of substantial population growth, rising sea level, extreme weather. Satellite remote sensing provides global precipitation estimates (including land/ocean). While these datasets been extensively evaluated land, they rarely assessed ocean. As radars cover both land ocean, we used Multi-Radar/Multi-Sensor...