CAMS-CSM模式及其参与CMIP6的方案

doi:10.12006/j.issn.1673-1719.2019.186

气候变化研究进展 ›› 2019, Vol. 15 ›› Issue (5): 540-544.doi: 10.12006/j.issn.1673-1719.2019.186

• 第六次国际耦合模式比较计划（CMIP6）评述及中国贡献专栏 • 上一篇下一篇

CAMS-CSM模式及其参与CMIP6的方案

容新尧,李建(),陈昊明,辛羽飞,苏京志,华莉娟,张正秋

中国气象科学研究院灾害天气国家重点实验室,北京 100081

收稿日期:2019-08-09 修回日期:2019-08-16 出版日期:2019-09-30 发布日期:2019-09-30
通讯作者: 李建 E-mail:lij@cma.gov.cn
作者简介:容新尧,男,副研究员;
基金资助:
科技部国家重点研发计划项目(2016YFA0600602);国家自然科学基金(91637210);中国气象科学研究院基本科研业务费专项(2018Z007)

Introduction of CAMS-CSM model and its participation in CMIP6

Xin-Yao RONG,Jian LI(),Hao-Ming CHEN,Yu-Fei XIN,Jing-Zhi SU,Li-Juan HUA,Zheng-Qiu ZHANG

RONG Xin-Yao, LI Jian, CHEN Hao-Ming, XIN Yu-Fei, SU Jing-Zhi, HUA Li-Juan, ZHANG Zheng-Qiu
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China

Received:2019-08-09 Revised:2019-08-16 Online:2019-09-30 Published:2019-09-30
Contact: Jian LI E-mail:lij@cma.gov.cn

摘要/Abstract

摘要：

世界气候研究计划(WCRP)组织开展的耦合模式比较计划已实施到第六阶段（CMIP6),中国气象科学研究院发展的气候系统模式CAMS-CSM是注册参加CMIP6的模式之一。除CMIP6要求的气候诊断、评估和描述试验（DECK）以及历史气候模拟试验（Historical）外,CAMS-CSM还计划参加情景模式比较计划（ScenarioMIP)、云反馈模式比较计划（CFMIP)、全球季风模式比较计划（GMMIP）和高分辨率模式比较计划（HighResMIP)这4个模式比较子计划（MIPs)。文中通过介绍CAMS-CSM的基本情况和模拟性能,以及计划参加的CMIP6试验及MIPs,为模式试验数据使用者提供参考。

关键词: CAMS-CSM模式, CMIP6, 气候系统模式, 地球系统模式

Abstract:

The Coupling Model Intercomparison Program organized by the World Climate Research Programme (WCRP) has been advanced to CMIP6. The climate system model CAMS-CSM developed by the Chinese Academy of Meteorological Sciences is one of the registered models to participate in CMIP6. In addition to the Diagnostic, Evaluation and Characterization of Klima (DECK) expreiment and Historical simulation required by CMIP6, CAMS-CSM also plans to participate in four Model Intercomparison Projects (MIPs) such as Scenario Model Intercomparison Project (ScenarioMIP), Cloud Feedback Model Intercomparison Project (CFMIP), Global Monsoons Model Intercomparison Project (GMMIP) and High Resolution Model Intercomparison Project (HighResMIP). This paper provides a reference for model data users by introducing the basic configuration of CAMS-CSM model, its basic simulation performance, as well as the CMIP6 experiments and MIPs it plans to participate.

Key words: CAMS-CSM, CMIP6, Climate system model (CSM), Earth system model (ESM)

容新尧,李建,陈昊明,辛羽飞,苏京志,华莉娟,张正秋. CAMS-CSM模式及其参与CMIP6的方案[J]. 气候变化研究进展, 2019, 15(5): 540-544.

Xin-Yao RONG,Jian LI,Hao-Ming CHEN,Yu-Fei XIN,Jing-Zhi SU,Li-Juan HUA,Zheng-Qiu ZHANG. Introduction of CAMS-CSM model and its participation in CMIP6[J]. Climate Change Research, 2019, 15(5): 540-544.

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参考文献

[1]	Roeckner E, B?uml G, Bonaventura L , et al. The atmospheric general circulation model ECHAM5. Part I: model description [R/OL]. 2003 [2019-01-20].
[2]	Yu R C . A two-step shape-preserving advection scheme[J]. Advances in Atmospheric Sciences, 1994,11:479-490
[3]	张祎, 宇如聪, 李建 , 等. 两步保形平流方案在高分辨率球面经纬网格下的跳点差分试[J]. 气象学报, 2013,71(6):1089-1102.
[3]	Zhang Y, Yu R C, Li J . An implementation of a leaping-point two-step shape-preserving advection scheme in the high-resolution spherical latitude-longitude grid[J]. Acta Meteorologica Sinica, 2013,71(6):1089-1102 (in Chinese)
[4]	Zhang H, Nakajima T, Shi G Y , et al. An optimal approach to overlapping bands with correlated k distribution method and its application to radiative calculations[J]. Journal of Geophysical Research, 2003,108(D20):464l
[5]	Zhang H, Shi G, Nakajima T , et al. The effects of the choice of the k-interval number on radiative calculations[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2006,98:31-43
[6]	Zhang H, Suzuki T, Nakajima T , et al. Effects of band division on radiative calculations[J]. Optical Engineering, 2006,45(1):016002. DOI: 10.1117/1.2160521
[7]	Griffies S M, Harrison M J, Pacanowski P C , et al. A technical guide to MOM4. GFDL ocean group technical report NO. 5 [R]. NOAA/Geophysical Fluid Dynamics Laboratory, 2004: 339
[8]	Winton M . A reformulated three-layer sea ice model[J]. Journal of atmospheric and Oceanic Technology, 2000,17:525-531
[9]	Dai Y, Zeng X, Dickinson R E , et al. The common land model[J]. Bulletin American Meteorological Society, 2003,84:1013-1023
[10]	Niu G Y, Yang Z L . Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale[J]. Journal of Hydrometeorology, 2006,7:937-952. DOI: 10.1175/JHM538.1
[11]	Xin Y F, Wu B Y, Bian L G , et al. Response of the East Asian climate system to water and heat changes of global frozen soil using NCAR CAM model[J]. Chinese Science Bulletin, 2012,57:4462-4471. DOI: 10.1007/s11434-012-5361-2
[12]	Hagemann S, Dümenil L . A parametrization of the lateral waterflow for the global scale[J]. Climate Dynamics, 1998,14:17-31. DOI: 10.1007/s003820050205
[13]	Rong X Y, Li J, Chen H M , et al. The CAMS climate system model and a basic evaluation of its climatology and climate variability simulation[J]. Journal of Meteorological Research, 2018,32(6):839-861. DOI: 10.1007/s13351-018-8058-x
[14]	Eyring V, Bony S, Meehl G A , et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization[J]. Geoscientific Model Development, 2016,9:1937-1958. DOI: 10.5194/gmdd-8-10539-2015
[15]	Li J, Chen H, Rong X , et al. How well can a climate model simulate an extreme precipitation event: a case study using the transpose-AMIP experiment[J]. Journal of Climate, 2018,31(16):6543-6556
[16]	Chen X L, Guo Z, Zhou T J , et al. Climate sensitivity and feedbacks of a new coupled model CAMS-CSM to idealized CO2 forcing: a comparison with CMIP5 models[J]. Journal of Meteorological Research, 2019,33(1):31-45. DOI: 10.1007/s13351-019-8074-5
[17]	Qi Y J, Zhang R H, Rong X Y , et al. Boreal summer intraseasonal oscillation in the Asian-Pacific monsoon region simulated in CAMS-CSM[J]. Journal of Meteorological Research, 2019,33(1):66-79. DOI: 10.1007/s13351-019-8080-7
[18]	Ren P, Li G, Ren H , et al. Representation of the Madden-Julian Oscillation in CAMS-CSM[J]. Journal of Meteorological Research, 2019. DOI: 10.1007/s13351-019-8118-x
[19]	Hua L J, Chen L, Rong X Y , et al. An assessment of ENSO stability in CAMS climate system model simulations[J]. Journal of Meteorological Research, 2019,33(1):80-88. DOI: 10.1007/s13351-018-8092-8
[20]	Lu B, Ren H L . ENSO features, dynamics, and teleconnections to East Asian climate as simulated in CAMS-CSM[J]. Journal of Meteorological Research, 2019,33(1):46-65. DOI: 10.1007/s13351-019-8101-6
[21]	Zhang G, Li J D, Rong X Y , et al. An assessment of CAMS-CSM in simulating land-atmosphere heat and water exchanges[J]. Journal of Meteorological Research, 2018,32(6):862-880. DOI: 10.1007/s13351-018-8055-0
[22]	Wei T, Li J, Rong X Y , et al. Arctic climate changes based on historical simulations (1900?2013) with the CAMS-CSM[J]. Journal of Meteorological Research, 2018,32(6):881-895. DOI: 10.1007/s13351-018-7188-5
[23]	Wang L, Zhou T, Li J , et al. Convectively coupled equatorial waves simulated by CAMS-CSM model[J]. Journal of Meteorological Research, 2019. DOI: 10.1007/s13351-019-9021-1
[24]	Nan S, Yang J, Bao Y , et al. Simulation of the Northern and Southern Hemisphere annular modes by CAMS-CSM[J]. Journal of Meteorological Research, 2019. DOI: 10.1007/s13351-019-8099-9

CAMS-CSM模式及其参与CMIP6的方案

Introduction of CAMS-CSM model and its participation in CMIP6

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