Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 15
Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6165-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6165-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 15
Methods for assessment of models
 | 
05 Aug 2022
Methods for assessment of models |  | 05 Aug 2022

MIdASv0.2.1 – MultI-scale bias AdjuStment

Peter Berg, Thomas Bosshard, Wei Yang, and Klaus Zimmermann

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Cited articles

Berg, P., Feldmann, H., and Panitz, H.-J.: Bias correction of high resolution regional climate model data, J. Hydrol., 448–449, 80–92, https://doi.org/10.1016/j.jhydrol.2012.04.026, 2012. a
Berg, P., Bosshard, T., and Yang, W.: Model Consistent Pseudo-Observations of Precipitation and Their Use for Bias Correcting Regional Climate Models, Climate, 3, 118–132, https://doi.org/10.3390/cli3010118, 2015. a, b
Berg, P., Almén, F., and Bozhinova, D.: HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time, Earth Syst. Sci. Data, 13, 1531–1545, https://doi.org/10.5194/essd-13-1531-2021, 2021a. a
Berg P., Bosshard, T., Yang, W., and Zimmermann, K.: MIdAS version 0.1: framtagande och utvärdering av ett nytt verktyg för biasjustering, SMHI, 63, KLIMATOLOGI, ISSN 1654-2258, https://www.diva-portal.org/smash/get/diva2:1578567/FULLTEXT01.pdf (last access: 1 August 2022), 2021b. a
Berg, P., Bosshard, T., Yang, W., and Zimmermann, K.: MIdAS (MultI-scale bias AdjuStment), Zenodo [code], https://doi.org/10.5281/zenodo.6624233, 2022a. a
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When performing impact analyses with climate models, one is often confronted with the issue that the models have significant bias. Commonly, the modelled climatological temperature deviates from the observed climate by a few degrees or it rains excessively in the model. MIdAS employs a novel statistical model to translate the model climatology toward that observed using novel methodologies and modern tools. The coding platform allows opportunities to develop methods for high-resolution models.
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