High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
复制标题
DOI：
10.5194/gmd-9-4185-2016
复制
发表时间：
2016-11-22
影响因子：
5.1
通讯作者：
von Storch, Jin-Song
中科院分区：
文献类型：
--
作者：
Haarsma, Reindert J.;Roberts, Malcolm J.;von Storch, Jin-Song
对气候变率和变化的强有力的预测和预报，特别是在区域尺度上的预测和预报，依赖于在模型模拟中逼真地表现驱动过程。人们越来越感兴趣的是提高水平分辨率在改进气候系统所有组成部分的过程表示中的作用，特别是因为最近的一些模拟表明，环流的大尺度方面可能发生重大变化，小尺度过程和极端情况也可能得到改善。在大气层中分辨率至少为50公里，在海洋中分辨率为0.25度，在相对较少的研究中心进行，而且通常没有进行总体协调，主要是由于其计算费用。评估模拟气候对模式分辨率的响应的稳健性需要使用一组协调的实验进行大型多模式集合。耦合模型相互比较项目6（CMIP 6）是开展此类研究的理想框架，因为它与为CMIP DECK实验和其他模型相互比较项目（MIP）开发的模型有着密切的联系。高性能计算（HPC）资源的增加，以及CMIP 6的修订实验设计，现在可以详细研究分辨率提高到天气尺度对模拟的平均气候及其变率的影响。高分辨率模式相互比较项目（HighResMIP），本文提出的应用，第一次，多模式的方法，系统的调查水平分辨率的影响。设计了一套协调一致的实验，以评估大气和海洋中的标准和增强水平分辨率模拟。HighResMIP实验分为三个层次，包括大气层和耦合运行，跨越1950-2050年，有可能延长到2100年，以及一些额外的有针对性的实验。本文描述了HighResMIP的实验设置、分析计划、与其他CMIP 6认可的MIP的连接，以及DECK和CMIP 6的历史模拟。HighResMIP因此聚焦于CMIP 6的一个广泛问题，“系统性模型偏差的起源和后果是什么？”，但我们也讨论了它如何应对世界气候研究计划（WCRP）的重大挑战。
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 degrees 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.