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

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

doi:https://doi.org/10.5194/gmd-17-1249-2024

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

Short summary

Before using climate models to study the impacts of climate change, bias adjustment is commonly...