1Weather and Climate modeling, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
2Met Office Hadley Centre, Exeter, UK
3NCAS-Climate, University of Reading, Reading, UK
4Climate Simulation and Prediction Divsion, Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy
5Institute of Atmospheric Physics, Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Chinese Academy of Sciences, Beijing, China P. R.
6Department of Oceanography, Texas A&M University, College Station, Texas, USA
7Institute of Atmospheric Sciences and Climate, National Research Council, Bologna, Italy
8Earth Sciences, Barcelona Supercomputing Center, Barcelona, Spain
9Netherlands eScience Center, Amsterdam, the Netherlands
10Meteorology and Air Quality, Wageningen University, Wageningen, the Netherlands
11Atmospheric Science, Japan Agency for Marine-Earth Science and Technology, Tokyo, Japan
12Climate Research, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
13Earth System Analysis and Modeling, Pacific Northwest National Laboratory, Richland, USA
14Climate Dynamics, Bureau of Meteorology, Melbourne, Australia
15Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge,Tennessee, USA
16Climate Research Department, Meteorological Research Institute, Tsukuba, Japan
17Climate Modeling, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brazil
18Atmosphere and Ocean Research Institute, The University of Tokyo, Tokyo, Japan
19Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
20Climate and Global Dynamics Divsion, National Center for Atmospheric Research, Boulder, Colorado, USA
21The Ocean in the Earth System, Max-Planck-Institute for Meteorology, Hamburg, Germany
22Sezione di Bologna, Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
23Meteo-France, Centre National de Recherches Meteorologiques, Toulouse, France
Received: 30 Mar 2016 – Discussion started: 12 Apr 2016
Abstract. 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.
Revised: 05 Jul 2016 – Accepted: 10 Oct 2016 – Published: 22 Nov 2016
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. 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.
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185-4208, doi:10.5194/gmd-9-4185-2016, 2016.