Numerous studies across multiple disciplines search for insights on the effects of climate
change at local spatial scales and at fine time resolutions. This study presents an overall …

RainSim V3 is a robust and well tested stochastic rainfall field generator used successfully in
a broad range of climates and end-user applications. Rainfall fields or multi-site time series …

High‐resolution space‐time stochastic models for precipitation are crucial for hydrological
applications related to flood risk and water resources management. In this study, we present …

A fully distributed hydrological analysis at scales significant for water management for
present-day, and projected future climate conditions is presented for a catchment in the Alps …

Projections of climate change effects in streamflow are increasingly required to plan water
management strategies. These projections are however largely uncertain due to the spread …

For derived flood frequency analysis based on hydrological modelling long continuous
precipitation time series with high temporal resolution are needed. Often, the observation …

Large scale rainfall models are needed for collective risk estimation in flood insurance,
infrastructure networks and water resource management applications. There is a lack of …

Subdaily rainfall data, though essential for applications in many fields, is not as readily
available as daily rainfall data. In this work, regression approaches that use atmospheric …

The nonhomogeneous spatial activation of raincells (NSAR) model is presented which
provides a continuous spatial‐temporal stochastic simulation of rainfall exhibiting spatial …

In this work, we present a comprehensive evaluation of a stochastic multi‐site, multi‐variate
weather generator at the scale of entire Germany and parts of the neighbouring countries …