The acquisition of the precise spatial distribution precipitation is great importance and necessity in many fields, such as hydrology, meteorology ecological environments. However, arid semiarid regions Northwest China, especially over mountainous areas Heihe River basin (HRB), scarcity uneven rainfall stations have created certain challenges gathering information that accurately describes for ...

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 ...

[1] The key question that is asked in this study is ‘‘how are the three independent bias components of satellite rainfall estimation, comprising hit bias, missed, and false precipitation, physically related to the estimation uncertainty of soil moisture and runoff for a physically based hydrologic model?’’ The study also investigated the performance of different satellite rainfall products as a...

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...

Evaluating satellite-based products is vital for precipitation estimation sustainable water resources management. The current study evaluates the accuracy of predicting using four remotely sensed rainfall datasets—Tropical Rainfall Measuring Mission (TRMM-3B42V7), Precipitation Estimation from Remotely Sensed Information Artificial Neural Networks Climate Data Records (PERSIANN-CDR), Cloud Clas...

The observation of hydrological as well meteorological data is very essential for any kind hydraulic and study. In Nepal, due to the significant variation topography climatic characteristics it necessary establish stations densely, here only 231 are available handled by government organizations Department Hydrology Meteorology (DHM). Even though, many limitations, satellite useful water resourc...

The number of global precipitation datasets (PPs) is on the rise and they are commonly used for hydrological applications. A comprehensive evaluation their performance in modeling required to improve performance. This study comprehensively evaluates eight widely PPs by comparing with gauge-observed a large catchments. These include Global Precipitation Climatology Centre (GPCC), Climate Hazards...