Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1813-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1813-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Model evaluation paper
 | 
29 Feb 2024
Model evaluation paper |  | 29 Feb 2024

Assessment of climate biases in OpenIFS version 43r3 across model horizontal resolutions and time steps

Abhishek Savita, Joakim Kjellsson, Robin Pilch Kedzierski, Mojib Latif, Tabea Rahm, Sebastian Wahl, and Wonsun Park

Data sets

Assessment of Climate Biases in OpenIFS Version 43R3 across Model Horizontal Resolutions and Time Steps Abhishek Savita https://hdl.handle.net/20.500.12085/c74887dc-e609-4392-9faf-48c67276d5d1

Atmospheric and Coupled Model inter-comparison Study Abhishek Savita https://doi.org/10.5281/zenodo.8189718

The ERA5 global reanalysis (https://cds.climate.copernicus.eu/) H. Hersbach et al. https://doi.org/10.1002/qj.3803

The global precipitation climatology project (GPCP) combined precipitation dataset (https://psl.noaa.gov/data/gridded/data.gpcp.html) G. J. Huffman et al. https://doi.org/10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2

Model code and software

esm-tools/esm_tools: Release 6 (v6.0.0) Paul Gierz Miguel et al. https://doi.org/10.5281/zenodo.5787476

XIOS 2.0 (Revision 1297) Y. Meurdesoif https://doi.org/10.5281/zenodo.4905653

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Short summary
The OpenIFS model is used to examine the impact of horizontal resolutions (HR) and model time steps. We find that the surface wind biases over the oceans, in particular the Southern Ocean, are sensitive to the model time step and HR, with the HR having the smallest biases. When using a coarse-resolution model with a shorter time step, a similar improvement is also found. Climate biases can be reduced in the OpenIFS model at a cheaper cost by reducing the time step rather than increasing the HR. 
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