Articles | Volume 15, issue 9
https://doi.org/10.5194/nhess-15-2037-2015
https://doi.org/10.5194/nhess-15-2037-2015
Research article
 | 
11 Sep 2015
Research article |  | 11 Sep 2015

Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden

W. Yang, M. Gardelin, J. Olsson, and T. Bosshard

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Short summary
A distribution-based scaling approach was developed and proven useful as a post-process to correct systematic biases in climate modelling outputs (i.e. precipitation, temperature, relative humidity and wind speed) to facilitate the utilisation of climate projections in forest fire risk studies. The result showed reduction of bias in forcing data and an improved description of fire-risk-related indices. Concerning the future climate, southern Sweden is likely to become a more fire-prone region.
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