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Title: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6

Journal Article · · Geoscientific Model Development (Online)
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  1. Royal Netherlands Meteorological Institute, De Bilt (The Netherlands)
  2. Met Office Hadley Centre, Exeter (United Kingdom)
  3. Univ. of Reading, Reading (United Kingdom)
  4. Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna (Italy)
  5. Chinese Academy of Sciences (CAS), Beijing (China)
  6. Texas A & M Univ., College Station, TX (United States)
  7. Institute of Atmospheric Sciences and Climate, Bologna (Italy)
  8. Barcelona Supercomputing Center, Barcelona (Spain)
  9. Barcelona Supercomputing Center, Barcelona (Spain); Centre National de Recherches Meteorologiques, Toulouse (France)
  10. Royal Netherlands Meteorological Institute, De Bilt (The Netherlands); Netherlands eScience Center, Amsterdam (The Netherlands); Wageningen Univ., Wageningen (The Netherlands)
  11. Japan Agency for Marine-Earth Science and Technology, Tokyo (Japan)
  12. Swedish Meteorologival and Hydrological Institute, Norrkoping (Sweden)
  13. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  14. Bureau of Meteorology, Melbourne (Australia)
  15. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  16. Meteorological Research Institute, Tsukuba (Japan)
  17. Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos (Brazil)
  18. The Univ. of Tokyo, Tokyo (Japan)
  19. Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna (Italy); Istituto Nazionale di Geofisica e Vulcanologia, Rome (Italy)
  20. Helmholtz Centre for Polar and Marine Research, Bremerhaven (Germany)
  21. National Center for Atmospheric Research, Boulder, CO (United States)
  22. Max-Planck-Institute for Meteorology, Hamburg (Germany)
+ Show Author Affiliations

Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. The role of enhanced horizontal resolution in improved process representation in all components of the climate system is of growing interest, particularly as some recent simulations suggest both the possibility of significant changes in large-scale aspects of circulation as well as improvements in small-scale processes and extremes. However, such high-resolution global simulations at climate timescales, with resolutions of at least 50 km in the atmosphere and 0.25° in the ocean, have been performed at relatively few research centres and generally without overall coordination, primarily due to their computational cost. Assessing the robustness of the response of simulated climate to model resolution requires a large multi-model ensemble using a coordinated set of experiments. The Coupled Model Intercomparison Project 6 (CMIP6) is the ideal framework within which to conduct such a study, due to the strong link to models being developed for the CMIP DECK experiments and other model intercomparison projects (MIPs). Increases in high-performance computing (HPC) resources, as well as the revised experimental design for CMIP6, now enable a detailed investigation of the impact of increased resolution up to synoptic weather scales on the simulated mean climate and its variability. The High Resolution Model Intercomparison Project (HighResMIP) presented in this paper applies, for the first time, a multi-model approach to the systematic investigation of the impact of horizontal resolution. A coordinated set of experiments has been designed to assess both a standard and an enhanced horizontal-resolution simulation in the atmosphere and ocean. The set of HighResMIP experiments is divided into three tiers consisting of atmosphere-only and coupled runs and spanning the period 1950–2050, with the possibility of extending to 2100, together with some additional targeted experiments. This paper describes the experimental set-up of HighResMIP, the analysis plan, the connection with the other CMIP6 endorsed MIPs, as well as the DECK and CMIP6 historical simulations. Lastly, HighResMIP thereby focuses on one of the CMIP6 broad questions, “what are the origins and consequences of systematic model biases?”, but we also discuss how it addresses the World Climate Research Program (WCRP) grand challenges.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-76RL01830; AC05-00OR22725
OSTI ID:
1339833
Alternate ID(s):
OSTI ID: 1394598
Report Number(s):
PNNL-SA-123045; KP1703010
Journal Information:
Geoscientific Model Development (Online), Vol. 9, Issue 11; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 550 works
Citation information provided by
Web of Science

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