Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …

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 …

Quantitative precipitation nowcasting (QPN) has become an essential technique in various
application contexts, such as early warning or urban sewage control. A common heuristic …

Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall
observation, is increasingly used for very short range rainfall forecasting (less than 6 hr …

Flash flood early warning requires accurate rainfall forecasts with a high spatial and
temporal resolution. As the first few hours ahead are already not sufficiently well captured by …

To assess the potential of radar rainfall nowcasting for early warning, nowcasts for 659
events were used to construct discharge forecasts for 12 Dutch catchments. Four open …

The spatio-temporal variability of rainfall, especially at fine temporal and spatial scales can
significantly affect flood generation, leading to a large variability in the flood response and …

Andersen, H., J. Cermak, J. Fuchs, R. Knutti, and U. Lohmann, 2017: Understanding the
drivers of marine liquid-water cloud occurrence and properties with global observations …

The Short-Term Ensemble Prediction System (STEPS) is implemented in real-time at the
Royal Meteorological Institute (RMI) of Belgium. The main idea behind STEPS is to quantify …