Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 379–394, 2022
https://doi.org/10.5194/gmd-15-379-2022
Geosci. Model Dev., 15, 379–394, 2022
https://doi.org/10.5194/gmd-15-379-2022
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 et al.

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Latest update: 27 Jun 2022
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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.