Please wait a minute...
img img
高级检索
地球科学进展  2015, Vol. 30 Issue (5): 620-625    DOI: 10.11867/j.issn.1001-8166.2015.05.0620
研究简报     
CPL7及其在中国地球系统模式中的应用前景
唐彦丽1, 董文杰1, *, 李立娟2, 薛巍3, 王斌3
1. 北京师范大学 地表过程与资源生态国家重点实验室,北京 100875; 2. 中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,北京 100029; 3. 清华大学 地球系统科学研究中心,北京 100083
CPL7 and Its Application Prospect in the Earth System Models of China
Tang Yanli1, Dong Wenjie1, Li Lijuan2, Xue Wei3, Wang Bin3
1.State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; 2.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamic, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 3. Center of Earth System Science, Tsinghua University, Beijing 100084,China
 全文: PDF(1160 KB)  
摘要:

中国地球系统模式中普遍存在的耦合器CPL6(美国国家大气研究中心的第六代通量耦合器)在很大程度上限制了模式在高分辨率上的发展,新一代耦合器CPL7并行度的可扩展性更高,能够适应更高分辨率的构型。以CPL7与中国科学院大气物理研究所的第二代格点大气环流模式(the Version 2 Gridpoint Atmospheric Model of Institute of Atmospheric Physics, Chinese Academy of Sciences)的耦合为例,概述了其耦合原理,为CPL7与中国其他模式的耦合提供相关的经验。结合国内外模式的发展方向,CPL7耦合器在中国未来几年的地球系统模式的耦合改进中将占有很大的优势地位。

关键词: 耦合器高分辨率耦合原理    
Abstract:

The CPL6 (the 6th version coupler developed by the National Center For Atmospheric Research), which is widespread in the Earth System Models (ESMs) of China, limits its development in the higher resolution. The new version CPL7 has a more higher parallel extensibility and can support much higher resolution configurations. The coupling theories of CPL7 were summarized through its couple with the Version 2 Grid-point Atmospheric Model of Institute of Atmospheric Physics, Chinese Academy of Sciences and the relevant experience was provided in the coupling of CPL7 with other components. In according with the development trend of ESMs, CPL7 is recognized to play an important role in the coupling improvement of the Earth System Models in China over the next few years.

Key words: Coupling theories    Higher resolution.    Coupler
出版日期: 2015-05-06
:  P435  
基金资助:

国家自然科学基金项目“人类活动对气候变化的影响:减少数值模拟不确定性的方法及其应用研究”(编号:41330527)资助

通讯作者: 董文杰(1966-),男,甘肃甘谷人,教授,主要从事气候动力学、气候理论与预测和全球变化研究.     E-mail: dongwj@bnu.edu.cn
作者简介: 唐彦丽(1988-),女,河南商丘人,博士研究生,主要从事地球系统模式的耦合以及评估研究.E-mail:tangyanlia@163.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
王斌
薛巍
董文杰
李立娟
唐彦丽

引用本文:

唐彦丽, 董文杰, 李立娟, 薛巍, 王斌. CPL7及其在中国地球系统模式中的应用前景[J]. 地球科学进展, 2015, 30(5): 620-625.

Tang Yanli, Dong Wenjie, Li Lijuan, Xue Wei, Wang Bin. CPL7 and Its Application Prospect in the Earth System Models of China. Advances in Earth Science, 2015, 30(5): 620-625.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2015.05.0620        http://www.adearth.ac.cn/CN/Y2015/V30/I5/620

[1] Flato G. Earth system models: An overview[J]. Wiley Interdisciplinary Reviews: Climate Change, 2011, 2(6): 783-800.
[2] Flato G, Marotzke J, Abiodun B, et al. Evaluation of climate models[M]∥Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press, 2013.
[3] Valcke S, Balaji V, Craig A, et al. Coupling technologies for Earth System Modeling[J]. Geoscientific Model Development, 2012, 5: 1 589-1 596.
[4] Wang Bin, Zhou Tianjun, Yu Yongqiang, et al. The prospects of Earth system model development[J]. Acta Meteorologica Sinica, 2008, 66(6): 857-869.[王斌, 周天军, 俞永强,等. 地球系统模式发展展望[J]. 气象学报, 2008, 66(6): 857-869.]
[5] Craig A, Jacob R, Kauffman B, et al. CPL6: The new extensible, high-performance parallel coupler for the community climate system model[J]. International Journal for High Performance Computing Applications, 2005, 19(3): 309-327.
[6] Craig A, Vertenstein M, Jacob R. A new flexible coupler for Earth system modeling developed for CCSM4 and CESM1[J]. International Journal for High Performance Computing Applications, 2012, 26(1): 31-42.
[7] Hill C, Deluca C, Balaji V, et al. The architecture of the Earth System Modeling framework[J]. Computing in Science & Engineering, 2004, 6(1): 18-28.
[8] Valcke S. The OASIS3 coupler: A European climate modeling community software[J]. Geoscientific Model Development, 2013, 5: 373-388.
[9] Zhou Tianjun, Yu Yongqiang, Yu Rucong, et al. Coupled Climate System Model coupler review[J]. Chinese Journal of Atmospheric Sciences, 2004, 28(6): 993-1 008.[周天军, 俞永强, 宇如聪,等. 气候系统模式发展中的耦合器研制问题[J]. 大气科学, 2004, 28(6): 993-1 008.]
[10] Wu Qizhong, Feng Jinming, Dong Wenjie, et al. Introduction of the CMIP5 experiments carried out by BNU-ESM[J]. Advances in Climate Change Research, 2013, 9 (4): 291-294.[吴其重, 冯锦明, 董文杰,等. BNU-ESM模式及其开展的CMIP5试验介绍[J]. 气候变化研究进展, 2013, 9 (4): 291-294.]
[11] Shu Qi, Qiao Fangli, Song Zhenya. The hindcast and forecast of Arctic sea ice from FIO-ESM [J]. Acta Oceanologica Sinica, 2013,35(5): 37-45. [舒启, 乔方利, 宋振亚. 地球系统模式FIO-ESM对北极海冰的模拟和预估[J]. 海洋学报, 2013,35(5): 37-45.]
[12] Li L, Lin P, Yu Y, et al. The flexible Global Ocean-Atmosphere-Land System Model, grid-point version 2: FGOALS-g2[J]. Advance in Atmospheric Science, 2013, 30(3): 543-560.
[13] Wu T, Song L, Li W, et al. An overview of BCC climate system model development and application for climate change studies[J]. Journal of Meteorological Research, 2014, 28(1): 34-56.
[14] Craig A, Jacob R, Kauffman B, et al. Cpl6: The New Extensible, High-Performance Parallel Coupler for the Community Climate System Model[M]∥Mathematics and Computer Science Division. Argonne National Laboratory, ANL/MCS-P1222-0205, 2005:37.
[15] Wan Xiuquan, Liu Zedong, Shen Biao, et al. Introduction to the community Earth System Model and application to high performance computing[J]. Advances in Earth Science, 2014, 29(4): 482-491.[万修全, 刘泽栋, 沈飙,等. 地球系统模式CESM及其在高性能计算机上的配置应用实例[J]. 地球科学进展, 2014, 29(4): 482-491.]
[16] Craig A, Mirin A, Taylor M, et al. Computer Performance of the Community Earth System Model. 16th Annual CESM Workshop[Z/OL].[2014-10-10].http://www.cesm.ucar.edu/events/ws.2011/Posters/worley.pdf.
[17] Craig T. CPL7 User’s Guide[Z/OL]. [2014-09-25].http://www.cesm.ucar.edu/models/cesm1.0/cpl7/cpl7_doc/ug.pdf.
[18] Collins W D, Rasch P J, Boville B A, et al. The formulation and atmospheric simulation of the community atmosphere model: CAM3[J]. Journal of Climate, 2006, 19(11): 2 144-2 161.
[19] Li L, Wang B, Dong L, et al. Evaluation of grid-point atmospheric model of IAP LASG version 2 (GAMIL2)[J]. Advance in Atmospheric Science, 2013, 30(3): 855-867.
[20] Collins W D, Bitz C M, Blackmon M L, et al. The Community Climate System Model version 3 (CCSM3)[J]. Journal of Climate, 2006, 19(11): 2 122-2 143.
[21] Li Huimin. Coupled Ensemble Platform and Performance Model for Climate System Model[C].Beijing: Tsinghua University, 2013. [李慧岷. 面向气候系统模式的通量集合耦合平台及性能建模[C].北京: 清华大学, 2013.]
[22] Larson J W, Jacob R L, Ong E, et al. The Model Coupling Toolkit API Reference Manual: MCT v. 2.8. Mathematics and Computer Science Division[Z]. Argonne: Argonne National Laboratory, 2012.
[23] Larson J, Jacob Rt, Ong E. The Model Coupling Toolkit: A new fortran90 toolkit for building multiphysics parallel coupled models[J]. International Journal for High Performance Computing Applications, 2005, 19: 277-292.
[24] Jacob R, Larson J, Ong E. M×N communication and parallel interpolation in community climate system model version 3 using the model coupling toolkit[J]. International Journal for High Performance Computing Applications, 2005,19(3): 293-307.
[25] Deelmana E, Singha G, Su M, et al. Pegasus: A framework for mapping complex scientific workflows onto distributed systems[J]. Scientific Programming, 2005, 13: 219-237.
[26] Jones P W. First- and second-order conservative remapping schemes for grids in spherical coordinates[J]. Monthly Weather Review, 1998, 127: 2 204-2 210.
[27] DeWeaver E, Bitz C M. Atmospheric circulation and its effect on Arctic Sea Ice in CCSM3 simulations at medium and high resolution[J]. Journal of Climate, 2006, 19: 2 415-2 436.
[28] Gent P R, Yeager S G, Neale R B, et al. Improvements in a half degree atmosphere/land version of the ccsm[J]. Climate Dynamics, 2010, 34(6): 819-833.
[29] Wehner M F, Bala G, Duffy P, et al. Towards direct simulation of future tropical cyclone statistics in a high-resolution global atmospheric model[J]. Advances in Meteorology, 2010, doi:10.1155/2010/915303.
[30] He J, Zhang M, Lin W, et al. The WRF nested within the CESM: Simulations of a midlatitude cyclone over the Southern Great Plains[J]. Journal of Advances in Modeling Earth Systems, 2013, 5: 1-12.
[31] Hirano H. Usage details of the Earth simulator and sustained performance of actual applications[J]. Journal of Information Processing and Management, 2005, 48(5):268-275.
[32] Chen Chun, Zhang Zhiqiang, Lin Hai. Earth simulator and simulation research progress[J]. Advances in Earth Science, 2005, 20(10): 1 135-1 142.[陈春, 张志强, 林海. 地球模拟器及其模拟研究进展[J]. 地球科学进展, 2005, 20(10): 1 135-1 142.]
[33] Gao X J, Zhao Z C, Ding Y H, et al. Climate change due to greenhouse effects in China as simulated by a regional climate model[J]. Advances in Atmospheric Sciences, 2001, 18(6): 1 224-1 230.
[34] Gao X J, Wang M L, Giorgi F. Climate change over China in the 21st century as simulated by BCC_CSM1.1-RegCM4.0[J]. Atmospheric and Oceanic Science Letters, 2013, 6(5):381-386.
[35] Yu E T, Wang H J, Sun J Q. A quick report on a dynamical downscaling simulation over china using the nested model[J]. Atmospheric and Oceanic Science Letters, 2010, 3: 325-329.
[36] Zhou T, Zou L, Wu B, et al. Development of Earth/Climate System Models in China: A review from the Coupled Model intercomparison project perspective[J]. Acta Meteorological Sinica, 2014, 72(5): 892-907.

[1] 郭瑞芳, 刘元波. 多传感器联合反演高分辨率降水方法综述[J]. 地球科学进展, 2015, 30(8): 891-903.
[2] 熊喆. 不同积云对流参数化方案对黑河流域降水模拟的影响[J]. 地球科学进展, 2014, 29(5): 590-597.
[3] 程承旗,李启青,沙志友,郭仕德. 城市居住单元环境质量的高分辨率遥感评价方法研究[J]. 地球科学进展, 2006, 21(1): 24-30.
[4] 翦知盡,黄维. 快速气候变化与高分辨率的深海沉积记录[J]. 地球科学进展, 2003, 18(5): 673-680.
[5] 王文远,刘嘉麒. 玛珥湖与过去全球变化研究[J]. 地球科学进展, 2000, 15(5): 604-608.
[6] 王先锋,刘东生. 洞穴碳酸盐微层研究及其发展方向[J]. 地球科学进展, 1999, 14(3): 286-291.
[7] 李万春,李世杰,濮培民. 高分辨率古环境指示器——湖泊纹泥研究综述[J]. 地球科学进展, 1999, 14(2): 172-176.
[8] 郑卓. 第四纪孢粉分析的时间序列与空间模型[J]. 地球科学进展, 1998, 13(3): 300-305.
[9] 徐钰麟. 大洋钻探与地层学——高分辨率磁性生物年代地层格架[J]. 地球科学进展, 1995, 10(3): 258-262.