Preprocessed atmospheric circulation and impact-relevant variables from ERA5 and "Extended ensemble forecast hindcast" (ECMWF) for unseen-awg simulations

Wider, Jonathan; Zscheischler, Jakob

Experiment
Summary
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 region. It provides a persistent, easy-to-use, and easy-to-access way of retrieving this data.

The data are based on two products by the European Centre for Medium-Range Weather Forecasts (ECMWF):
- The “Extended ensemble forecast hindcast" dataset [1] from cycle 48r1 of the Integrated Forecast System (IFS). We retrieved the data from ECMWFs Operational Archive. We include it here because accessing it directly from the Operational Archive is complicated by the need for a research license. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.
- Preprocessed daily ERA5 data retrieved from the Copernicus Climate Change Service [2, 3]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

Both datasets were retrieved under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Preprocessing steps are detailed for each dataset, they include:
- aggregation to daily timescale
- horizontal regridding
- unit conversions and derivation of new variables
- restructuring data dimensions and metadata for the use with unseen-awg

[1] ECMWF (2023). IFS Documentation CY48R1 - Part V: Ensemble Prediction System. DOI: [https://doi.org/10.21957/E529074162](https://doi.org/10.21957/E529074162)
[2] Hersbach, H., Comyn-Platt, E., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N., Cagnazo, C., Cucchi, M. (2023): ERA5 post-processed daily-statistics on pressure levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [https://doi.org/10.24381/cds.4991cf48](https://doi.org/10.24381/cds.4991cf48)
[3] Copernicus Climate Change Service, Climate Data Store, (2024): ERA5 post-processed daily-statistics on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [https://doi.org/10.24381/cds.4991cf48](https://doi.org/10.24381/cds.4991cf48)
Project
unseen-awg (unseen-awg: spatio-temporal weather generation using analogs and unseen data)
Contact
Jonathan Wider (
 jonathan.wider@nullufz.de
0000-0002-5185-5768)
Location(s)
Europe
Spatial Coverage
Longitude -80 to 40 Latitude 30 to 72.5
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
181.46 GiB (194836586602 Byte)
Format
zip-file
Status
completely archived
Creation Date
Review Date
2026-04-21
Cite as
Wider, Jonathan; Zscheischler, Jakob (2026). Preprocessed atmospheric circulation and impact-relevant variables from ERA5 and "Extended ensemble forecast hindcast" (ECMWF) for unseen-awg simulations. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=unsawg_inp

BibTeX RIS
Contact typePersonORCIDOrganization

Is variant form of

[1] DOI ECMWF. (2023). IFS Documentation CY48R1 - Part V: Ensemble Prediction System. doi:10.21957/e529074162
[2] Hersbach, H.; Comyn-Platt, E.; Bell, B.; Berrisford, P.; Biavati, G.; Horányi, A.; Muñoz Sabater, J.; Nicolas, J.; Peubey, C.; Radu, R.; Rozum, I.; Schepers, D.; Simmons, A.; Soci, C.; Dee, D.; Thépaut, J-N.; Cagnazo, C.; Cucchi, M. (2024). ERA5 post-processed daily-statistics on pressure levels from 1940 to present. https://doi.org/10.24381/cds.4991cf48
[3] Copernicus Climate Change Service, Climate Data Store. (2024). ERA5 post-processed daily-statistics on single levels from 1940 to present. https://doi.org/10.24381/cds.4991cf48

Is source of

[1] DOI Wider, Jonathan; Zscheischler, Jakob. (2026). An instance of the analog weather generator unseen-awg with precomputed similarities and a large set of generated weather data. doi:10.26050/WDCC/unsawg_wg

Attached Dataset Groups ( 2 )

Search on group level...Details for selected entry
[Entry acronym: unsawg_inp] [Entry id: 5369849]