Data
Großwetterlagen¶
The classification of large-scale weather conditions over Europe according after Hess/Brezowsky assigns one of 30 large-scale circulation patterns to each day. These are seasonally associated with local weather characteristics.
ERA5 Reanalysis¶
With the help of reanalysis data, the weather characteristics of the respective circulation patterns is derived and illustrated.
Processing¶
Workflow¶
| Experiments | 1961-1990 | 1990-2019 | 1981-2010 |
|---|---|---|---|
| Input | GWL | GWL | GWL, ERA5 |
| Years | 30 | 30 | 30 |
| Operation | Decision Tree | Decision Tree | Composite |
| Start Date | 2000-01-01 | 2000-01-01 | 1981-01-01 |
| End Date | 2999-12-31 | 2999-12-31 | 2010-12-31 |
| Output | GWL | GWL | GWL-ERA5 |
| Years | 1000 | 1000 | 0 |
Decision Tree¶
$$\mathbf{prc[gwl,mon,lat,lon]}$$ $$\mathbf{gwl[t]=\phi_{k,m}\cdot gwl[t-1]}$$ $$\mathbf{gwl_{1000}[\tau+1]=\phi_{k,m}\cdot gwl[\tau]}$$ $$\mathbf{prc_{1000}[\tau+1,lat,lon]=prc[gwl_{1000}[\tau],lat,lon]}$$
Post-Processing¶
cdo sellonlatbox,-20,30,30,70cdo runsum,5yearly maximumcdo timpctl,99consecutive wet/dry months