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

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Cited articles

Barros, S., Dent, D., Isaksen, L., Robinson, G., Mozdzynski, G., and Wollenweber, F.: The IFS model: A parallel production weather code, Parallel Comput., 21, 1621–1638,, 1995. a, b
Chassignet, E. P. and Marshall, D. P.: Gulf Stream Separation in Numerical Ocean Models, Geophys. Monogr. Ser., 177, 39–61,, 2008. a
Demory, M.-E., Vidale, P. L., Roberts, M. J., Berrisford, P., Strachan, J., Schiemann, R., and Mizielinski, M. S.: The role of horizontal resolution in simulating drivers of the global hydrological cycle, Clim. Dynam., 42, 2201–2225,, 2013. a
Dorier, M., Antoniu, G., Cappello, F., Snir, M., and Orf, L.: Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O, in: 2012 IEEE International Conference on Cluster Computing, 24–28 September 2012, Beijing, China, IEEE, 155–163,, 2012. a
ECMWF: IFS Documentation CY43R3 – Part VI: Technical and computational procedures, in: IFS Documentation CY43R3, chap. 6, ECMWF, 1–227,, 2017a. a, b
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.