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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2020-153
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-153
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 30 Jun 2020

Submitted as: development and technical paper | 30 Jun 2020

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This preprint is currently under review for the journal GMD.

Coordinating an operational data distribution network for CMIP6 data

Ruth Petrie1, Sébastien Denvil2, Sasha Ames3, Guillaume Levavasseur2, Sandro Fiore4, Chris Allen5, Fabrizio Antonio4, KatharinaPier Berger6, Pierre-Antoine Bretonnière7, Luca Cinquini8, Eli Dart9, Prashanth Dwarakanath10, Kelsey Druken5, Ben Evans5, Laurent Franchistéguy11, Sébastien Gardoll2, Eric Gerbier11, Mark Greenslade2, David Hassell12, Alan Iwi1, Martin Juckes1, Stephan Kindermann6, Lukasz Lacinski13, Maria Mirto4, Atef Ben Nasser2, Paola Nassisi4, Eric Nienhouse14, Sergey Nikonov15, Alessandra Nuzzo4, Clare Richards5, Syazwan Ridzwan5, Michel Rixen16, Kim Serradell7, Kate Snow5, Ag Stephens1, Martina Stockhause6, Hans Vahlenkamp15, and Rick Wagner13 Ruth Petrie et al.
  • 1UK Research and Innovation, Swindon, UK
  • 2Institut Pierre Simon Laplace; Centre National de Recherche Scientifique, Paris, France
  • 3Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, USA
  • 4Euro-Mediterranean Center on Climate Change Foundation, Lecce, Italy
  • 5National Computational Infrastructure, Australian National University, Canberra, Australia
  • 6German Climate Computing Center, Hamburg, Germany
  • 7Barcelona Supercomputing Center, Barcelona, Spain
  • 8Jet Propulsion Laboratory, National Aeronautics and Space Administration, Pasadena, USA
  • 9Energy Sciences Network, Lawrence Berkeley National Laboratory, Berkeley, USA
  • 10Linköping University, Linköping Sweden
  • 11Centre National de Recherches Météorologiques, UMR3589, Université de Toulouse, Météo-France, CNRS, France
  • 12National Centre of Atmospheric Science, Leeds, UK
  • 13Argonne National Laboratory, Chicago, USA
  • 14National Center for Atmospheric Research, Boulder, USA
  • 15Geophysical Fluid Dynamics Laboratory, Princeton, USA
  • 16World Meteorological Organization, Geneva, Switzerland

Abstract. The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via the Earth System Grid Federation (ESGF). The ESGF is a network of internationally distributed sites that together work as a federated data archive. Data records from climate modelling institutes are published on the ESGF and then shared around the world. It is anticipated that CMIP6 will produce O(20PB) of data to be published and distributed via the ESGF. In addition to this large volume of data a number of value-added CMIP6 services are required to interact with the ESGF, for example the Citation and Errata services both interact with the ESGF but are not a core part of its infrastructure. With a number of interacting services and a large volume of data anticipated for CMIP6 a CMIP Data Node Operations Team (CDNOT) was formed. The CDNOT coordinated and implemented a series of CMIP6 preparation data challenges to test all the interacting components in the ESGF CMIP6 software ecosystem. This ensured that when CMIP6 data were released it could be reliably distributed.

Ruth Petrie et al.

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Ruth Petrie et al.

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Latest update: 30 Sep 2020
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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 ~20PB (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.
This paper describes the infrastructure that is used to distribute Coupled Model Intercomparison...
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