Rainfall depth is a crucial parameter in water resources and hydrological studies. Rain gauges provide the most reliable point-based rainfall estimates. However, they do not have proper density/distribution to sufficient measurements many areas, especially arid regions. To evaluate adequacy of satellite datasets as an alternative rain gauges, Kingdom Saudi Arabia (KSA) selected for current stud...

Precise rainfall measurement is essential for achieving reliable results in hydrologic applications. The technological advancement has brought numerous datasets that can be available to assess patterns. However, the suitability of a given dataset specific location remains an open question. objective this study find which perform well India at various spatial resolutions: pixel level, meteorolog...

This study focused on the Mono River Basin in west Africa. The lack of extensive and functional measurement networks for flood monitoring, introduces satellite-based rainfall datasets as an alternative which needs however to be evaluated beforehand. investigated performance four satellite gauge-based products – Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), Estimation ...

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...

Long-term satellite-based precipitation estimates (LSPE) play a significant role in climatological studies like drought monitoring. In this study, three popular LSPEs (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), Rainfall Estimates Rain Gauge and Satellite Observations (CHIRPS) Multi-Source Weighted-Ensemble Preci...