Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge data over mainland China from December 2006 to November 2010. These products include three satellite-only estimates: the Global Satellite Mappin...

Probable Maximum Precipitation (PMP) is an essential prerequisite in designing dams, spillways, and reservoirs in order to minimize the risk of overtopping infrastructure collapse, especially under today’s changing climate. This study investigates conventional PMP estimation approach by using both scarce in-situ observations and mainstream satellite precipitation products in the Dadu River basi...

Satellite-derived estimates of precipitation are essential to compensate for missing rainfall measurements in regions where the homogeneous and continuous monitoring of rainfall remains challenging due to low density rain gauge networks. The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks—Climate Data Record (PERSIANN-CDR) is a relatively new product (...

The studied region is the Greater Antilles (Cuba, Hispaniola, Jamaica and Puerto Rico) Lesser (Southern part of Caribbean arc). performance MSWEP, CHIRPS, PERSIANN-CDR, ERA-5 GPM IMERG were evaluated to highlight their qualities shortcomings guide researchers in choice these rainfall datasets use for hydro-meteorological applications this study area. Five quantitative (RMSE, KGE his three compo...

Cryospheric and ecological studies become very complicated due to the absence of observed data, particularly in mountainous regions Central Asia. Performance analysis Satellite-Based Precipitation Datasets (SBPD) is critical before their direct hydro-climatic applications. This study assessed ground validation four SBPDs (IMERG, TRMM, PERSIANN-CDR, PERSIANN-CSS). From January 2000 December 2013...

Satellite precipitation products have been applied to many research fields due their high spatial and temporal resolution. However, satellite inversion of is indirect, different algorithms limit the accuracy measurement results, which leads great uncertainty. Therefore, it significance quantify record error characteristics for better application in hydrology other fields. In this study, based o...

The Ganges-Brahmaputra-Meghna (GBM) river basin is the world’s third largest. Literature show that changes in precipitation have a significant impact on climate, agriculture, and environment GBM. Two satellite-based products, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) Multi-Source Weighted-Ensemble (MSWEP), were ...