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 climate conditions. Long simulations of artificial weather data help studying the weather-related risks across many sectors.

The simulations are composed of 500 21-year-long daily time series and stored as look-up tables. They can be expanded into multivariate spatiotemporal data using the provided reforecast dataset of impact-relevant meteorological variables.

The provided unseen-awg generator instance uses default parameter settings. It can be loaded using the corresponding Python class. The instance includes a large dataset of pre-computed similarities. Compared to using unseen-awg without pre-computation, this enables substantially faster simulations.