Deficiency and inappropriate distribution of reengage station is one of challenges faced by researchers in hydrology and climate science. In this research, evaluate the applicability of four gridded precipitation data products ERA-Interim, PERSIANN-CDR, PERSIANN-CCS and CRU as a supplement or substitute for ground data in a monthly time scales. This assessment was done by comparison with observ...

In 2015, an emergency state was declared in Bolivia when Poopó Lake dried up. Climate variability and the increasing need for water are potential factors responsible for this situation. Because field data are missing over the region, no statements are possible about the influence of mentioned factors. This study is a preliminary step toward the understanding of Poopó Lake drought using remote s...

Performance assessment of satellite-based precipitation products (SPPs) is critical for their application and development. This study assessed the accuracies four (PERSIANN-CDR, PERSIANN-CCS, PERSIANN-DIR, PERSIANN) using data in situ weather stations installed over Himalayan Mountains Pakistan. All SPPs were evaluated on annual, seasonal, monthly, daily bases from 2010 to 2017, whole spatial d...

Recent advancements in remote sensing have led to the development of several useful technologies that would significantly improve our understanding atmospheric sciences. The ability identify conditions and determine possibility intensity rainfall over a specific location represents one most important advantages. However, use measure precipitation arid regions has revealed significant disparitie...

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...

Satellite precipitation products (SPPs) are critical data sources for hydrological prediction and extreme event monitoring, especially for ungauged basins. This study conducted a comprehensive hydrological evaluation of six mainstream SPPs (i.e., TMPA 3B42RT, CMORPH-RT, PERSIANN-RT, TMPA 3B42V7, CMORPH-CRT, and PERSIANN-CDR) over humid Xixian basin in central eastern China for a period of 14 ye...

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...

Hydrologic models play an indispensable role in managing the scarce water resources of a region, and developing countries, availability distribution data are challenging. This research aimed to integrate compare satellite rainfall products, namely, Tropical Rainfall Measuring Mission (TRMM 3B43v7) Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate...