This study fills this major scientific gap by describing the rainfall during ARs over the central United States using five remote sensing-based precipitation products over a 12-year study period. The products we consider are: Stage IV, Tropical Rainfall Measuring Mission – Multi-satellite Precipitation Analysis (TMPA, both real-time and research version); Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN); the CPC MORPHing Technique (CMORPH).

Nayak, M.A, and G. Villarini, Remote sensing-based characterization of rainfall during atmospheric rivers over the central United States, Journal of Hydrology, 556, 1038-1049, 2018.