Seasonal forecasts provide valuable insights into upcoming conditions, offering forecast horizons of up to seven months. However, uncorrected seasonal forecasts often exhibit substantial biases and drifts,
This experiment provides a global dataset of agrometeorological and bioclimatic indicators for use by ecologists, agronomists, and environmental economists. The dataset is derived exclusively from the
The hydrodynamic model Trim-NP (2.6) was used to get an impression of the spatial distribution of water levels at the coast during historical severe storm tides. For these events, the atmospheric reanalysis
Evaluation simulations with REMO2020-2-iMOVE performed on the EURO-CORDEX domain at 0.11 degree resolution, using ERA5.1 reanalysis data as lateral boundary conditions for the years 1981-2020, using the
Preprocessed atmospheric circulation and impact-relevant variables from ERA5 and "Extended ensemble forecast hindcast" (ECMWF) for unseen-awg simulations
This experiment contains preprocessed data necessary for using unseen-awg simulations (impact-relevant variables) and for developing new weather generators (atmospheric circulation variables) for a European