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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-65', Anonymous Referee #1, 25 Aug 2021
    • AC1: 'Reply on RC1', Xavier Yepes-Arbós, 27 Oct 2021
  • RC2: 'Comment on gmd-2021-65', Jim Edwards, 03 Sep 2021
    • AC2: 'Reply on RC2', Xavier Yepes-Arbós, 27 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xavier Yepes-Arbós on behalf of the Authors (08 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Nov 2021) by Richard Mills
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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.