The consistency of hydrological process modeling depends on reliable parameters and
available long-term gauge data, which are frequently restricted within the Dead Sea/Jordan …

Reliable and accurate precipitation estimates are important for hydrological studies and
sustainable water resource management. However, networks of rain gauges are often …

Comprehensive evaluations of global precipitation datasets are imperative for gaining
insights into their performance and potential applications. However, the existing evaluations …

Evaluating satellite-based products is vital for precipitation estimation for sustainable water
resources management. The current study evaluates the accuracy of predicting precipitation …

Arid regions have a strong lack of observational datasets, specifically in rainfall and runoff,
which plays a crucial role in the effective management of water resources and the …

Precipitation is essential for hydrological streamflow simulation, but data scarcity in some
regions limits ground-based observations. High-resolution satellite-based precipitation …

Several satellite-based and reanalysis products with a high spatial and temporal resolution
have become available in recent decades, making it worthwhile to study the performance of …

Precipitation is one of the crucial variables in hydrological and water resources studies.
Runoff, soil moisture, groundwater recharge, and other hydrological variables change with …

Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal
gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in …

Precipitation is hard to access in countries like Iran, due to inadequate number of rain gauge
stations. Remote sensing provides an alternative source of rainfall estimation. In this study …