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Projections from coarse-grid global circulation models are not suitable forregional estimates of water balance or trends of extreme precipitation andtemperature, especially not in complex terrain. Thus, downscaling of globalto regionally resolved projections is necessary to provide input tointegrated water resources management approaches for river basins like theUpper Danube River Basin (UDRB) and the Upper Brahmaputra River Basin(UBRB).  This paper discusses the application of the regional climate model COSMO-CLMas a dynamical downscaling tool. To provide accurate data the COSMO-CLMmodel output was post-processed by statistical means. This downscaling chainperforms well in the baseline period 1971 to 2000. However, COSMO-CLMperforms better in the UDRB than in the UBRB because of a longer applicationexperience and a less complex climate in Europe.  Different climate change scenarios were downscaled for the time period1960–2100. The projections show an increase of temperature in both basinsand for all seasons. The values are generally higher in the UBRB with thehighest values occurring in the region of the Tibetan Plateau. Annualprecipitation shows no substantial change. However, seasonal amounts showclear trends, for instance an increasing amount of spring precipitation inthe UDRB. Again, the largest trends for different precipitation statisticsare projected in the region of the Tibetan Plateau. Here, the projectionsshow up to 50% longer dry periods in the months June to September with asimultaneous increase of about 10% for the maximum amount ofprecipitation on five consecutive days. For the Assam region in India, theprojections also show an increase of 25% in the number of consecutive drydays during the monsoon season leading to prolonged monsoon breaks

Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra