Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-379-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-379-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Development and technical paper
 | 
18 Jan 2022
Development and technical paper |  | 18 Jan 2022

Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study

Xavier Yepes-Arbós, Gijs van den Oord, Mario C. Acosta, and Glenn D. Carver

Data sets

Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study Xavier Yepes-Arbós, Gijs van den Oord, Mario C. Acosta, and Glenn Carver https://doi.org/10.5281/zenodo.4473008

Model code and software

IFS CY43R3 and XIOS 2.0 integration Xavier Yepes-Arbós and Gijs van den Oord https://doi.org/10.5281/zenodo.4905832

XIOS-GRIB compare Gijs van den Oord https://doi.org/10.5281/zenodo.4906175

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

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Short summary
Climate prediction models produce a large volume of simulated data that sometimes might not be efficiently managed. In this paper we present an approach to address this issue by reducing the computing time and storage space. As a case study, we analyse the output writing process of the ECMWF atmospheric model called IFS, and we integrate into it a data writing tool called XIOS. The results suggest that the integration between the two components achieves an adequate computational performance.
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