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Verwertbare Ergebnisse
The study considered relationships between space scales within the atmospheric circulation and compared various schemes for both classifying daily weather patterns and the potential usefulness of these techniques for downscaling (providing enhanced spatial and temporal resolution for climate impact assessment). The full text of the report is on the project web page and the conclusions are freely available for all to use. Some of the main conclusions were:
- NCEP Re-analysis data are reliable compared to reality and can be used in Europe when observational data are scarce, particularly for temperature.
- Subjective atmospheric circulation classification schemes (such as those of Lamb or the Grosswetterlagen) can be reasonably simulated by neural networks using generalized linear models. Several objective and subjective classification schemes were developed in various parts of Europe.
- Classifying the weather according to surface conditions (e.g. heavy precipitation days) produces patterns that are analogous to the main circulation features over Europe.
- Changes in circulation do not fully account for all precipitation increases in coastal parts of western Europe. This suggests that circulation/surface climate relationships are not wholly stationary.
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