Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1249-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1249-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Methods for assessment of models
 | 
14 Feb 2024
Methods for assessment of models |  | 14 Feb 2024

ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1)

Fiona Raphaela Spuler, Jakob Benjamin Wessel, Edward Comyn-Platt, James Varndell, and Chiara Cagnazzo

Data sets

CMIP6 climate projections Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.c866074c

Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate H. Hersbach et al. https://doi.org/10.24381/cds.143582cf

ibicus v1.0.1 - data and additional code for GMD submission Fiona Spuler and Jakob Wessel https://doi.org/10.5281/zenodo.8101842

CMIP6 climate projections Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.c866074c

Model code and software

ibicus v1.0.1 Fiona Spuler and Jakob Wessel https://doi.org/10.5281/zenodo.8101898

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Short summary
Before using climate models to study the impacts of climate change, bias adjustment is commonly applied to the models to ensure that they correspond with observations at a local scale. However, this can introduce undesirable distortions into the climate model. In this paper, we present an open-source python package called ibicus to enable the comparison and detailed evaluation of bias adjustment methods, facilitating their transparent and rigorous application.
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