Articles | Volume 7, issue 1
https://doi.org/10.5194/esd-7-71-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-71-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Feb 2016
Research article |
| 02 Feb 2016
A novel bias correction methodology for climate impact simulations
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
Institute for Atmospheric and Climate Science,
ETH Zürich, Rämistr. 101, 8075 Zürich, Switzerland
F. E. L. Otto
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
M. Forkel
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
M. R. Allen
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
B. P. Guillod
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
M. Heimann
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
M. Reichstein
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
S. I. Seneviratne
Institute for Atmospheric and Climate Science,
ETH Zürich, Rämistr. 101, 8075 Zürich, Switzerland
K. Thonicke
Potsdam Institute for Climate Impact
Research, Telegrafenberg, 14473 Potsdam, Germany
M. D. Mahecha
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
German Centre for
Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Deutscher Platz 5E, 04103 Leipzig, Germany
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Latest update: 04 Dec 2025
Short summary
We introduce a novel technique to bias correct climate model output for impact simulations that preserves its physical consistency and multivariate structure. The methodology considerably improves the representation of extremes in climatic variables relative to conventional bias correction strategies. Illustrative simulations of biosphere–atmosphere carbon and water fluxes with a biosphere model (LPJmL) show that the novel technique can be usefully applied to drive climate impact models.
We introduce a novel technique to bias correct climate model output for impact simulations that...
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