Remote sensing-based characterization of rainfall during atmospheric rivers over the central United States
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.