Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1249-2024
https://doi.org/10.5194/gmd-17-1249-2024
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

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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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