The lack of ground-based data remains the main challenge for hydrologists working in semi-
arid to arid regions. In this context, remotely sensed precipitation products (SPPs) are crucial …

The digital elevation models (DEMs) are the primary and most important spatial inputs for a
wide range of hydrological applications. However, their availability from multiple sources …

This study presented a novel paradigm for forecasting 12-step-ahead monthly precipitation
at 126 California gauge stations. First, the satellite-based precipitation time series from …

Soil and land use information are important inputs for physically-based hydrological
modeling such as SWAT. Although fine resolution local or regional data are often preferred …

A reliable and accurate long-term rainfall dataset is an indispensable resource for
climatological studies and crucial for application in water resource management, agriculture …

This study evaluates four satellite-based precipitation datasets with gauged rainfall
observations at a daily and wet season time scales. Satellite Precipitation Estimators from …

In most developing countries, networks of gauge observations are frequently sparse and
may have significant spatial and temporal gaps in the meteorological records. Reanalysis …

The availability of reliable gridded precipitation datasets is limited around the world,
especially in arid regions. In this study, we utilized observations from satellite-based …

This study investigates the utility of satellite-based rainfall products and the performance of
bias correction methods in one of the sub-basins of the Upper Blue Nile Basin (Main Beles …

Reliable precipitation estimates are crucial for planning and managing water resources,
monitoring hydrologic extremes, and fulfilling irrigation water requirements. Accurate …