Precipitation over the U.S. Coastal Land/Water Using Gauge-Corrected Multi-Radar/Multi-Sensor System and Three Satellite Products

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 System (MRMS) gauge-corrected product from 2018 to 2020 evaluate three widely satellite-based products U.S. versus ocean (and water Great Lakes). These included Integrated Multi-satellite Retrievals for GPM (IMERG), Precipitation Estimation Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Climate Prediction Center Morphing technique (CMORPH). MRMS data showed a climatology difference between that was higher in winter lower summer autumn. IMERG CMORPH performed best water, respectively, while PERSIANN most consistent its performance water. Heavy overestimated by products, with larger overestimates than land. results were not affected uncertainties due gauge correction or use different versions.