An instance of the analog weather generator unseen-awg with precomputed similarities and a large set of generated weather data

Wider, Jonathan; Zscheischler, Jakob

Experiment
Summary
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.
Project
unseen-awg (unseen-awg: spatio-temporal weather generation using analogs and unseen data)
Contact
Jonathan Wider (
 jonathan.wider@nullufz.de
)
Location(s)
Europe
Temporal Coverage
2003-01-01 to 2023-12-31 (standard)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
527.73 GiB (566641216611 Byte)
Format
NetCDF, zip-file
Status
metadata only
Creation Date
Review Date
2026-04-14
Cite as
Wider, Jonathan; Zscheischler, Jakob (2026). An instance of unseen-awg and a large set of generated weather data. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=unsawg_wg

BibTeX RIS
Contact typePersonORCIDOrganization
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Is compiled by

[1] DOI Yiou, P. (2014). AnaWEGE: a weather generator based on analogues of atmospheric circulation. doi:10.5194/gmd-7-531-2014

Is derived from

[1] Wider, Jonathan; Zscheischler, Jakob. (2026). Preprocessed atmospheric circulation and impact-relevant variables from ERA5 and "Extended ensemble forecast hindcast" (ECMWF) for unseen-awg simulations. https://www.wdc-climate.de/ui/entry?acronym=unsawg_inp

Attached Datasets ( 2 )

Details for selected entry
[Entry acronym: unsawg_wg] [Entry id: 5369850]