Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Stefan Lange

doi:10.5194/gmd-12-3055-2019

journal article Open Access Jul 17, 2019

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Stefan Lange

Geoscientific Model Development Vol. 12 No. 7 pp. 3055-3070 · Copernicus GmbH

View at Publisher Save 10.5194/gmd-12-3055-2019

Abstract

Abstract. In this paper I present new methods for bias adjustment and statistical downscaling that are tailored to the requirements of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). In comparison to their predecessors, the new methods allow for a more robust bias adjustment of extreme values, preserve trends more accurately across quantiles, and facilitate a clearer separation of bias adjustment and statistical downscaling. The new statistical downscaling method is stochastic and better at adjusting spatial variability than the old interpolation method. Improvements in bias adjustment and trend preservation are demonstrated in a cross-validation framework.

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Citations

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References

Details

Published: Jul 17, 2019
Vol/Issue: 12(7)
Pages: 3055-3070
License: View

Authors

S

Stefan Lange

Funding

Horizon 2020

Cite This Article

Stefan Lange (2019). Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0). Geoscientific Model Development, 12(7), 3055-3070. https://doi.org/10.5194/gmd-12-3055-2019

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

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