Abstract

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. 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.

Highlights

  • Recent studies with global high-resolution climate models have demonstrated the added value of enhanced horizontal atmospheric resolution compared to the output from models in the CMIP3 and CMIP5 archive

  • HighResMIP will for the first time coordinate highresolution simulations and process-based analysis at an international level and perform a robust assessment of the benefits of increased horizontal resolution for climate simulation

  • As such it is an important step in closing the gap between climate modelling and numerical weather prediction (NWP), by approaching weather resolving scales

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Summary

Introduction

Recent studies with global high-resolution climate models have demonstrated the added value of enhanced horizontal atmospheric resolution compared to the output from models in the CMIP3 and CMIP5 archive They showed significant improvement in the simulation of aspects of the large-scale circulation such as El Niño–Southern Oscillation (ENSO). The top priority CMIP6 broad question for HighResMIP is “what are the origins and consequences of systematic model biases?”, which will focus on understanding model error (applied to mean state and variability), via process-level assessment, rather than on climate sensitivity This has motivated our choices in terms of proposed simulations, which emphasize sampling the recent past and the few decades where internal climate variability is a more important factor than climate sensitivity to changes in greenhouses gases (Hawkins and Sutton, 2011), at least at regional scales. Several appendices contain more detail of the experimental design and forcing

Outline of HighResMIP simulations
Common forcing fields
Aerosol
Land surface
Initialization and spin-up of the atmosphere–land system
Tier 1 simulations
Tier 2 simulations: coupled runs
Control – control-1950
Future – highres-future
Spin-up
Tier 3 simulations
Further targeted experiments
Connection with DECK and CMIP6 endorsed MIPs
GMMIP for global monsoons
CORDEX
OMIP for ocean analysis and initial state
LS3MIP
DynVAR
Data storage and sharing
Analysis plan
Regional climates
Scale interactions
Process studies
Extremes and hydrological cycle
Tropical cyclones
Additional potential applications of HighResMIP simulations
Discussion and conclusions
Changes in water availability
Understanding and predicting weather and climate extremes
Regional climate information
Cryosphere in a changing climate
Abrupt forcing in coupled experiments with CFMIP and OMIP – highres-4co2
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