数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (1): 38-54.

doi: 10.11871/jfdc.issn.2096-742X.2020.01.004

所属专题: “高性能与高通量计算及应用”专刊

• 专刊:高性能与高通量计算及应用 • 上一篇    下一篇

地球系统模式CAS-ESM

周广庆1,*(),张云泉2,姜金荣3,张贺1,吴保东2,曹杭2,王天一3,郝卉群3,朱家文1,袁良2,张明华1,*()   

  1. 1. 中国科学院大气物理研究所,北京 100029
    2. 中国科学院计算技术研究所,北京 100190
    3. 中国科学院计算机网络信息中心,北京 100190
  • 收稿日期:2020-01-03 出版日期:2020-02-20 发布日期:2020-03-28
  • 通讯作者: 周广庆,张明华
  • 作者简介:周广庆,中国科学院大气物理研究所,研究员,博士生导师,主要研究方向为气候模式与气候预测。
    本文承担工作:CAS-ESM气候系统模式设计研发。
    Zhou Guangqing, professor, is a PhD supervisor at Institute of Atmospheric Physics, Chinese Academy of Sciences. His main research interests are climate model and climate predictions.
    The tasks in this paper: design and development of climate system model in CAS-ESM.|张云泉,中国科学院计算技术研究所计算机体系结构国家重点实验室,博士,研究员,博士生导师,国家超级计算济南中心主任,主要研究领域为并行算法与并行软件。
    本文承担工作:大气模式三维剖分方法整体设计。
    Zhang Yunquan, is a professor and PhD Advisor of SKL of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences in Beijing, China. He is also appointed as the Director of National Supercomputing Center at Jinan.
    The tasks in this paper: 3d design of AGCM.
    E-mail: zyq@ict.ac.cn。|姜金荣,中国科学院计算机网络信息中心,研究员,博士,主要研究方向为并行算法与框架软件、计算地球科学。
    本文承担工作:耦合集成软件平台设计。
    Jiang Jinrong is a research fellow in Computer Network Information Center, Chinese Academy of Sciences. His research interests include the development of earth system model, parallel computing and computer architecture.
    The tasks in this paper: design the platform for coupling and application of Earth System Model.
    E-mail: jjr@sccas.cn|张贺,中国科学院大气物理研究所,副研究员,主要研究方向为地球系统模式研发和应用。
    本文承担工作:大气模式和耦合模式研发及CMIP6试验。
    Zhang He is an asociate professor at Institute of Atmospheric Physics, Chinese Academy of Sciences,. His main research interests are Earth System Model development and applications.
    The tasks in this paper: developments of AGCM and coupled model, CMIP6 experiments.
    E-mail: zhanghe@mail.iap.ac.cn|吴保东,中国科学院计算技术研究所,博士研究生,研究方向为高性能计算、并行计算、分布式系统虚拟化。
    本文承担工作:大气模式的三维并行剖分框架、自适应滤波、通信避免等优化算法。
    Wu Baodong, is a PhD. His main research interests include high-performance computing, parallel computing, and distributed system virtualization.
    The tasks in this paper: developments of the 3D parallel decomposition framework of AGCM in CAS-ESM, adaptive filtering, computation-communication overlap and communication-avoiding.
    E-mail: wubd.cs@gmail.com|曹杭,中国科学院计算技术研究所博士研究生,主要研究方向为大规模并行计算,异构并行性能优化。
    本文承担工作为:CAS-ESM大气环流模式并行计算优化。
    Cao Hang, is a PhD student at Institute of Computing Technology, Chinese Academy of Sciences. His main research interests include large-scale parallel computing and heterogeneous parallel computing performance optimization.
    The tasks in this paper: paralell omptimization of AGCM in CAS-ESM.
    Email: caohang@ict.ac.cn|王天一,中国科学院计算机网络信息中心,博士研究生,主要研究方向为并行计算、软件工程和地球系统建模。
    本文承担工作为:耦合集成软件平台开发
    Wang Tianyi, is a PhD student at Computer Network Information Center of Chinese Academy of Science. His research interests include parallel computing, software engineering and modeling of Earth system.
    The tasks in this paper: development of the platform for coupling and application of Earth System Model.
    E-mail: wangty@sccas.cn|郝卉群,中国科学院计算机网络信息中心,工程师,硕士,主要研究方向为并行计算与软件、地球系统模式并行优化。
    本文承担工作为:海洋模式并行优化
    Hao Huiqun, received his M.S. degree in Computer Science from University of Manchester. He is an engineer in Computer Network Information Center, Chinese Academy of Sciences. His research interests include high performance computing and the parallel optimization of earth system model.
    The tasks in this paper: paralell omptimization of OGCM in CAS-ESM.
    E-mail: haohq@sccas.cn|朱家文, 中国科学院大气物理研究所,副研究员,主要研究方向为植被动力学模式。
    本文承担工作为:植被动力学模式及其与大气模式耦合。
    Zhu Jiawen is an asociate professor at Institute of Atmospheric Physics, Chinese Academy of Sciences. His main research interest is dynamic vegetation model.
    The tasks in this paper: dynamic vegetation model and its coupling with AGCM.
    E-mail: zhujw@mail.iap.ac.cn|袁良,中国科学院计算技术研究所,助理研究员,主要研究方向为并行计算模型,并行算法设计与程序优化。
    本文承担工作:大气模式通信优化方法设计。
    Yuan Liang, is an assistant professor of SKL of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences in Beijing, China.
    The tasks in this paper: communication optimization design of AGCM.
    E-mail: yuanliang@ict.ac.cn|张明华,中国科学院大气物理研究所客座研究员,主要研究方向为地球系统模式等。
    本文承担工作:CAS-ESM的整体设计与研发。
    Zhang Minghua is a guest professor of Institute of Atmospheric Physics, Chinese Academy of Sciences. His main research interests are climate model and Earth System Model development and applications.
    The tasks in this paper: design and development of CAS-ESM.
  • 基金资助:
    国家重点研发计划(2016YFB0200800);中国科学院战略科技先导专项(XDA19020202)

Earth System Model: CAS-ESM

Zhou Guangqing1,*(),Zhang Yunquan2,Jiang Jinrong3,Zhang He1,Wu Baodong2,Cao Hang2,Wang Tianyi3,Hao Huiqun3,Zhu Jiawen1,Yuan Liang2,Zhang Minghua1,*()   

  1. 1. Institute of Atmospheric Physics, Chinese Academy of Sciences,Beijing 100029, China
    2. Institute of Computing Technology, Chinese Academy of Sciences,Beijing 100190, China
    3. Computer Network Information Center, Chinese Academy of Sciences,Beijing 100190, China
  • Received:2020-01-03 Online:2020-02-20 Published:2020-03-28
  • Contact: Zhou Guangqing,Zhang Minghua

摘要:

【目的】本文介绍了中国科学院地球系统模式CAS-ESM的发展、构成及性能优化,着重介绍了在并行计算优化方面的工作。【方法】基于CAS-ESM1.0,在大气和海洋模式上,就并行剖分、跳点差分算法、并行计算通信开展了一系列的优化研究,显著提升模式的并行加速比和并行效率。开发了用于耦合集成的软件平台,并通过一系列的物理参数化方案的改进,提高了各分量模式的模拟性能,以此形成了CAS-ESM2.0。【结果】新系统在运行效率和模拟精度上都较CAS-ESM1.0有显著提升,实现了我国境内首个全球地表CO2浓度分布及其季节变化的全耦合模拟。CAS-ESM2.0将参加国际耦合模式比较计划CMIP6的有关试验,并提供有关模拟结果的数据共享。

关键词: 地球系统, 模式, CAS-ESM, 并行计算, CMIP

Abstract:

[Objective] The development and performance optimizations, especially on parallel computations, of the Earth System Model of Chinese Academy of Sciences (CAS-ESM) are introduced in this paper. [Methods] Based on CAS-ESM1.0, a series of computing optimizations are conducted such as three-dimensional parallel decomposition, leap finite-difference algorithm and communication-avoiding method in atmospheric and oceanic component models, showing obvious improvements in parallel computational speed and efficiency of the models. Also, a platform for coupling and application of Earth System Model is developed. In addition, CAS-ESM2.0 is set up after applying parameterization improvements to component models in many aspects. [Results] Compared with CAS-ESM1.0, CAS-ESM2.0 presents a distinct advance not only in computation efficiency but also in climate simulation results. Besides, it is able to reproduce the global surface CO2 distribution and its seasonal variation by this fully coupled model. CAS-ESM2.0 will take CMIP6 experiments and its simulation data will be opened and shared.

Key words: earth system, model, CAS-ESM, parallel computation, CMIP