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Predictor-optimized downscaling combined with weather generators: seasonal and daily climate change scenarios for topographically complex regions / Praediktorsensitives Downscaling gekoppelt mit Wettergeneratoren: saisonale und taegliche CC-Szenarien in komplex strukturiertem Gelaende

  • Universitaet fuer Bodenkultur, Vienna (A...
  • Matulla, C. (GKSS-Forschungszentrum Gees...
  • gmbh (germany), gkss-forschungszentrum g...
Publication Date
Jan 01, 2003
OpenGrey Repository


Empirical downscaling is based on statistically derived relationships between observations on different scales. It has its roots in synoptic climatology, which relies on the relationships of local scale weather to large scale atmospheric processes. Mid latitudes' weather depends on the seasons, hence, empirical downscaling has to be conducted for each season separately. In recent years spatial distinction was also introduced and discussed (Woth 2001). In this study we account for both. Moreover we investigate the effect of different predictor combinations, performing equally well in the validation experiments. Thus, from each considered large scale scenario, we gain an ensemble of local scale scenarios. This strategy is demonstrated for two IS92a (IPCC 1996) scenarios and results in eight local scale scenarios: for each of the large scale scenarios, realized by ECHAM4/OPYC3, we extract a wet/dry and hot/cold realization on the local scale. From the eight monthly local scenarios we produce four scenarios on a daily basis by means of weather generators. (orig.) / SIGLE / Available from TIB Hannover: RA 3251(03/24) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbibliothek / DE / Germany

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