Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/4896
Title: Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
Authors: Lange, S.
Publishers Version: https://doi.org/10.5194/gmd-12-3055-2019
Issue Date: 2019
Published in: Geoscientific Model Development Vol. 12 (2019), No. 7
Publisher: Göttingen : Copernicus GmbH
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.
Keywords: accuracy assessment; downscaling; interpolation; numerical method; spatial variation; stochasticity; trend analysis
DDC: 530
License: CC BY 4.0 Unported
Link to License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:Physik



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