Precipitation is one of the crucial variables in hydrological and water resources studies. Runoff, soil moisture, groundwater recharge, other change with amount precipitation a region. Thus, accurate estimation major issue field modeling. Most studies management decisions Iran are established using situ observation precipitation. However, due to limited spatial distribution lack long-term high-...

Heavy rainfall occurs frequently in Northern Vietnam and causes severe floods landslides. not only appears rainy seasons (May–October) but also regularly spring (February–April). This study is devoted to identifying the climatic factors that influence variation of rainfall, particularly heavy dry season. Analysis based on observed PERSIANN satellite data, ERA5 reanalysis reveals should be consi...

Abstract Evaluating the accuracy of precipitation products is essential for many applications. The traditional method evaluation to calculate error metrics with gauge measurements that are considered as ground-truth. multiplicative triple collocation (MTC) has been demonstrated powerful in quantification when ground-truth not known. This study applied MTC evaluate five Germany: two raw satellit...

The current study evaluates the potential of merged satellite precipitation datasets (MSPDs) against rain gauges (RGs) and (SPDs) in monitoring meteorological drought over Pakistan during 2000–2015. MSPDs evaluated include Regional Weighted Average Least Square (RWALS), (WALS), Dynamic Clustered Bayesian model Averaging (DCBA), Model (DBMA) algorithms, while set SPDs is Global Precipitation Mea...