Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 629–644, 2021
https://doi.org/10.5194/gmd-14-629-2021

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 14, 629–644, 2021
https://doi.org/10.5194/gmd-14-629-2021

Development and technical paper 29 Jan 2021

Development and technical paper | 29 Jan 2021

Coordinating an operational data distribution network for CMIP6 data

Ruth Petrie et al.

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Cited articles

Balaji, V., Taylor, K. E., Juckes, M., Lawrence, B. N., Durack, P. J., Lautenschlager, M., Blanton, C., Cinquini, L., Denvil, S., Elkington, M., Guglielmo, F., Guilyardi, E., Hassell, D., Kharin, S., Kindermann, S., Nikonov, S., Radhakrishnan, A., Stockhause, M., Weigel, T., and Williams, D.: Requirements for a global data infrastructure in support of CMIP6, Geosci. Model Dev., 11, 3659–3680, https://doi.org/10.5194/gmd-11-3659-2018, 2018. a, b, c, d, e
Ben Nasser, A. and Levavasseur, G.: ES-DOC Issue Client, available at: https://es-doc.github.io/esdoc-errata-client/client.html, last access: 15 January 2021. a
Ben Nasser, A., Greenslade, M., Levavasseur, G., and Denvil, S.: Errata Web-Service, available at: https://es-doc.github.io/esdoc-errata-client/api.html, last access: 15 January 2021a. a
Cinquini, L., Crichton, D., Mattmann, C., Harney, J., Shipman, G., Wang, F., Ananthakrishnan, R., Miller, N., Denvil, S., Morgan, M., Pobre, Z., Bell, G. M., Doutriaux, C., Drach, R., Williams, D., Kershaw, P., Pascoe, S., Gonzalez, E., Fiore, S., and Schweitzer, R.: The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data, Future Gener. Comput. Syst., 36, 400–417, https://doi.org/10.1016/j.future.2013.07.002, 2014. a, b, c
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Short summary
This paper describes the infrastructure that is used to distribute Coupled Model Intercomparison Project Phase 6 (CMIP6) data around the world for analysis by the climate research community. It is expected that there will be ~20 PB (petabytes) of data available for analysis. The operations team performed a series of preparation "data challenges" to ensure all components of the infrastructure were operational for when the data became available for timely data distribution and subsequent analysis.