Global sharing system of Earth simulation data in the Coupled Model Intercomparison Project
LIU Yufu1(), BAI Yuqi1,2()
1. Department of Earth System Science, Ministry of Education Ecological Field Station for East Asian Migratory Birds and Their Habitatses, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China 2. Tsinghua Urban Institute, Tsinghua University, Beijing 100084, China
国际耦合模式比较计划(Coupled Model Intercomparison Project,CMIP)第六阶段(CMIP6)作为支撑全球气候研究和联合国政府间气候变化专门委员会(Intergovernmental Panel on Climate Change,IPCC)评估报告的重要科学计划,其数据规模已增长至PB级别,对数据管理与共享提出了更高要求。地球系统网格联盟(Earth System Grid Federation, ESGF)作为CMIP6官方指定的全球分布式数据基础设施,构建了一套覆盖数据全生命周期的软件体系,实现了从模式输出、质量控制、规范存储到全球分发的完整流程。该文系统介绍了ESGF的系统架构、节点组成与数据管理方法,重点阐述了其在CMIP6数据发布、元数据管理、版本控制、数据引用与服务质量监测等方面的关键机制。研究表明,ESGF在支持CMIP6数据全球共享中发挥了核心作用,我国也在其中积极参与并作出重要贡献; 尽管ESGF在网络性能和服务均衡性方面仍面临挑战,但其正在向集成在线分析与近数据计算的新一代服务平台演进,为地球系统科学数据共享提供更加高效和可持续的支撑。
Remote sensing-based Earth observation and Earth system numerical simulation serve as two significant technical means in revealing the Earth’s environmental changes and predicting its future states. Hence, they assist in enhancing the capacity of human society to mitigate and adapt to global change and in ensuring the sustainable development of the natural environment and human society. The Coupled Model Intercomparison Project (CMIP) is a large-scale international collaboration project in the field of Earth system numerical simulation, aiming to coordinate various countries to complete the simulations of the Earth’s historical environment and the predictions of its future states. The Earth simulation data generated in the CMIP directly support the global climate change assessments of the Intergovernmental Panel on Climate Change (IPCC), United Nations, providing a solid scientific basis for global climate negotiations and governance. The CMIP Phase 6 (CMIP6) has generated up to 30 petabytes (PB) of Earth simulation data. The management and sharing of these data are achieved through the Earth System Grid Federation (ESGF). This study elucidates the CMIP organizational scheme, the ESGF system architecture, and the sharing and interoperability progress of Earth simulation data. It can provide a reference for planning, designing, and operating large-scale networks for sharing remote sensing science data.
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