Long-term gridded precipitation products (GPPs) are crucial for climatology and hydrological
research to overcome the limitations of gauge observations. Climate Hazards Group …

Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …

Reliable long-term precipitation estimation data holds immense hydrometeorological value
due to its extensive spatial coverage and extended temporal records. Its availability is …

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 …

Extreme precipitation events (EPEs) cause catastrophic losses to human lives and social
economy. Focusing on the wet season from May to October, this paper formulates the …

The choice of proper input data and suitable calibration schemes is challenging in the
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …

Understanding the spatio-temporal variations in the frost-free period (FFP) and the number
of frost days (FD) is beneficial to reduce the harmful effects of climate change on agricultural …

Calibration of precipitation‐streamflow models to streamflow signatures is a promising
approach for streamflow prediction in ungauged basins (PUB). The estimation of parameter …

Soil erosion poses a significant challenge in the sub-humid Ethiopian highlands, yet
research on the long-term effectiveness of soil and water conservation (SWC) practices in …

Reliable spatial and temporal meteorological estimates are essential for accurately
modeling hydrological, ecological, and climatic processes. High-resolution gridded datasets …