Journal
INTERNATIONAL JOURNAL OF CLIMATOLOGY
Volume 33, Issue 2, Pages 430-443Publisher
WILEY
DOI: 10.1002/joc.3434
Keywords
regional climate change data; statistical climate change model; linear regression; bootstrapping; Austria
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Funding
- Austrian Federal Ministry for Science and Research
- Federal Ministry of Agriculture, Forestry, Environment and Water Management [100394]
- EC
- cc-TAME project
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Climate change data for Austria have been produced for the period from 2008 to 2040, with a temporal/spatial resolution of 1 d and 1 km2. The climate change data are based on historical daily weather station data from 1975 to 2007, and linear regression modelling with repeated bootstrapping. The spatial resolution is based on 60 climate clusters which represent homogenous climates with respect to mean annual precipitation sums and mean annual temperatures from the period 1961 to 1990. For each climate cluster, a regression model fit has been performed and extrapolated for the period 20082040. The integral parts of our regression model are: (1) the extrapolation of the observed linear temperature trend from 1975 to 2007, by using an average national trend of approximately 0.05 degrees C per year derived from a homogenized dataset, and (2) the repeated bootstrapping of historical temperature residuals, and of the observations for some other weather parameters, such as solar radiation, precipitation, relative humidity and wind speed. Thus, we ensure consistent physical, spatial and temporal correlations. Precipitation scenarios have been developed to account for any possible wider range of precipitation patterns. These scenarios include increased/decreased annual precipitation sums, as well as unchanged annual precipitation sums, but with different seasonal distributions. These climate change data are available at: http://www.landnutzung.at/Klima_Daten.html Copyright (C) 2012 Royal Meteorological Society
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