Reanalysis precipitation estimates are widely used in the fields of meteorology and
hydrology because they can provide physical, spatial, and temporal coherent long time …

Statistical postprocessing of medium-range weather forecasts is an important component of
modern forecasting systems. Since the beginning of modern data science, numerous new …

This study assesses four Satellite-derived Precipitation Products (SPPs) that are corrected
and validated against gauge data such as Soil Moisture to Rain—Advanced SCATterometer …

Precipitation is the most important driver of the hydrological cycle but is challenging to
estimate over large scales from satellites and models. Here, we assessed the performance …

In many regions of the globe, lack of precipitation data is one of the main factors limiting the
undertaking of a wide range of environmental studies. Recent studies have shown that …

Obtaining precise and long-term precipitation datasets is vital for addressing hydrological
and climatic concerns. Limitation of drought recurrent characterizing and its impact in Iraq …

Study region: The region of interest is the South-Tyrol in the southeastern Alps, Italy. A
comparison of meteorological forcing is performed with reference to this region while …

Satellite-based Precipitation (SBP) products are receiving growing attention, and their
utilization in hydrological applications is essential for better water resource management …

Convection-permitting models (CPMs) enable the representation of meteorological variables
at horizontal high-resolution spatial scales (≤ 4 km), where convection plays a significant …

The accuracy of the input data to the hydrological model, such as precipitation,
evapotranspiration, and observed discharge, is vital for rainfall-runoff modeling in the …