Preprocessed impact-relevant variables - ERA5 for unseen-awg simulations
Wider, Jonathan; Zscheischler, Jakob
Dataset
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This entry is metadata only. Metadata may change in the future. No data is available for this entry.
Summary
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 metres
- Minimum temperature at 2 metres
The 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 daily ERA5 data:
- Units were converted, we enforce non-negative total precipitation amounts
- The data were regridded to a 0.4° resolution grid over Europe using bilinear or conservative regridding. The latter is employed for total precipitation amounts
- Format and metadata were harmonized to fulfill the requirements of unseen-awg. This includes the creation of "dummy-dimensions" ensemble_member and lead_time
Once the zip files in this dataset are expanded, they combine to form a single .zarr archive.
[ Derived from parent entry - See data hierarchy tab ]
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