Unseen-awg is a method for generating long, multivariate, and spatiotemporal weather data representative of present-day climate by resampling historical weather datasets. It assures temporal consistency
This experiment contains an instance of the analog weather generator unseen-awg (Version 1.0) and over 10,000 years of artificial time series generated with unseen-awg for European weather under present-day
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
This dataset of preprocessed atmospheric circulation variables from a reforecast dataset is necessary for creating new unseen-awg weather generators and for analyzing properties of circulation analogs.
This dataset of preprocessed impact-relevant atmospheric variables from a reforecast dataset by ECMWF is necessary to make use of unseen-awg and its simulations; unseen-awg simulations are look-up tables
These data can be used to develop ERA5-based unseen-awg weather generators, or as in baseline dataset to compare generated data against. The following preprocessing steps were applied to the retrieved
This dataset contains impact-relevant variables at a daily scale over Europe: - Liquid water equivalent thickness of total precipitation amount - Mean temperature at 2 metres - Maximum temperature at 2
This dataset provides an instance of the unseen-awg analog weather generator (v1.0) with default parameter settings (tau=30, Delta=10, sigma=2.5).
The weather generator can be loaded using the unseen-awg
This dataset includes 500 21-year generated weather time series, each initialized using a different random seed. Simulations were produced with the default setup of unseen-awg v1.0 (tau=30, Delta=10, sigma=2.5).