Published September 26, 2019 | Version v1
Dataset Open

The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

Creators

  • 1. European Centre for Medium-Range Weather Forecasts, Reading, UK
  • 2. Météo-France, Toulouse, France
  • 3. Royal Meteorological Institute, Brussels, Belgium
  • 4. The Danish Meteorological Institute, Copenhagen, Denmark
  • 5. Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
  • 6. Center for Climate System Modeling, Zurich, Switzerland
  • 7. Deutscher Wetterdienst, Offenbach, Germany
  • 8. Loughborough University, Leicestershire, UK
  • 9. Irish Centre for High-End Computing, National University of Ireland, Galway, Ireland
  • 10. Poznań Supercomputing and Networking Center, Poznań, Poland
  • 11. Institute of Meteorology and Water Management – National Research institute, Warsaw, Poland
  • 12. ATOS, Bezons, France
  • 13. NVIDIA Switzerland, Zurich, Switzerland
  • 14. Optalysys Ltd., Glasshoughton, UK

Description

Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304

Notes

Figures 2-10 were created with Microsoft Excel for Mac (version 16.29.1). Final edits were made in Apple Numbers (version 6.1). The uploaded file contains the file for both software options. Figure 13 was created using metapost. The data and scripts to create the figure are also included in this dataset.

Files

ESCAPE.zip

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Additional details

Funding

ESCAPE – Energy-efficient SCalable Algorithms for weather Prediction at Exascale 671627
European Commission