In urban areas, hydrological processes are characterized by high variability in space and
time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last …

Gaining a holistic understanding of extreme weather, from its physical drivers to its impacts
on society and ecosystems, is key to supporting future risk reduction and preparedness …

Pysteps is an open-source and community-driven Python library for probabilistic
precipitation nowcasting, that is, very-short-range forecasting (0–6 h). The aim of pysteps is …

Application of weather radar data in urban hydrological applications has evolved
significantly during the past decade as an alternative to traditional rainfall observations with …

Evaluating the accuracy of the satellite and reanalysis precipitation products is very
important for understanding their uncertainties and potential applications. However …

A new stochastic weather generator, Advanced WEather GENerator for a two‐dimensional
grid (AWE‐GEN‐2d) is presented. The model combines physical and stochastic approaches …

Weather radar has become an invaluable tool for monitoring rainfall and studying its link to
hydrological response. However, when it comes to accurately measuring small-scale rainfall …

The morphometric characteristics of a basin have a significant effect on landslide occurrence
and can provide valuable information related to rainfall-induced shallow landslides. Basin …

Intensity–duration–frequency (IDF) curves are widely used to quantify the probability of
occurrence of rainfall extremes. The usual rain gauge-based approach provides accurate …

Intensification of Convective Rain Cells at Warmer Temperatures Observed from High-Resolution
Weather Radar Data in: Journal of Hydrometeorology Volume 19 Issue 4 (2018) Jump to …