Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3659-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3659-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
11 Sep 2018
Development and technical paper |
| 11 Sep 2018
| 11 Sep 2018
Requirements for a global data infrastructure in support of CMIP6
Princeton University, Cooperative Institute of Climate
Science, Princeton, NJ 08540, USA
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540,
USA
Karl E. Taylor
PCMDI, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
Martin Juckes
Science and Technology Facilities Council, Abingdon, UK
Bryan N. Lawrence
National Centre for Atmospheric Science, University of
Reading, Reading, UK
Science and Technology Facilities Council, Abingdon, UK
Paul J. Durack
PCMDI, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
Michael Lautenschlager
Deutsches KlimaRechenZentrum GmbH, Hamburg, Germany
Chris Blanton
Engility Corporation, NJ 08540, USA
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540,
USA
Luca Cinquini
Jet Propulsion Laboratory (JPL), 4800 Oak Grove Drive,
Pasadena, CA 91109, USA
Sébastien Denvil
Institut Pierre Simon Laplace, CNRS/UPMC, Paris, France
Mark Elkington
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Francesca Guglielmo
Institut Pierre Simon Laplace, CNRS/UPMC, Paris, France
Eric Guilyardi
Institut Pierre Simon Laplace, CNRS/UPMC, Paris, France
Science and Technology Facilities Council, Abingdon, UK
David Hassell
Science and Technology Facilities Council, Abingdon, UK
Slava Kharin
Canadian Centre for Climate Modelling and Analysis,
Atmospheric Environment Service, University of Victoria, Victoria, BC, Canada
Stefan Kindermann
Deutsches KlimaRechenZentrum GmbH, Hamburg, Germany
Sergey Nikonov
Princeton University, Cooperative Institute of Climate
Science, Princeton, NJ 08540, USA
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540,
USA
Aparna Radhakrishnan
Engility Corporation, NJ 08540, USA
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540,
USA
Martina Stockhause
Deutsches KlimaRechenZentrum GmbH, Hamburg, Germany
Tobias Weigel
Deutsches KlimaRechenZentrum GmbH, Hamburg, Germany
Dean Williams
PCMDI, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
Viewed
Total article views: 15,550 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
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| 10,880 | 4,317 | 353 | 15,550 | 245 | 283 |
- HTML: 10,880
- PDF: 4,317
- XML: 353
- Total: 15,550
- BibTeX: 245
- EndNote: 283
Total article views: 9,293 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Sep 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,605 | 3,350 | 338 | 9,293 | 223 | 258 |
- HTML: 5,605
- PDF: 3,350
- XML: 338
- Total: 9,293
- BibTeX: 223
- EndNote: 258
Total article views: 6,257 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,275 | 967 | 15 | 6,257 | 22 | 25 |
- HTML: 5,275
- PDF: 967
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- Total: 6,257
- BibTeX: 22
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Viewed (geographical distribution)
Total article views: 15,550 (including HTML, PDF, and XML)
Thereof 14,228 with geography defined
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Total article views: 9,293 (including HTML, PDF, and XML)
Thereof 8,467 with geography defined
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Total article views: 6,257 (including HTML, PDF, and XML)
Thereof 5,761 with geography defined
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| Country | # | Views | % |
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Latest update: 25 Nov 2025
Short summary
We present recommendations for the global data infrastructure needed to support CMIP scientific design and its future growth and evolution. We follow a dataset-centric design less prone to systemic failure. Scientific publication in the digital age is evolving to make data a primary scientific output, alongside articles. We design toward that future scientific data ecosystem, informed by the need for reproducibility, data provenance, future data technologies, and measures of costs and benefits.
We present recommendations for the global data infrastructure needed to support CMIP scientific...
