摘要
为保障北京气候中心(Beijing Climate Center,BCC)气候模式在第6次耦合模式比较计划(Coupled Model Intercomparison Project Phase 6,CMIP6)中的大量试验数据产品面向国内外实现共享,建立了试验数据共享平台。由于模式试验数据具有数据量大、要素种类繁多、元数据多样等特征,为提供高效的数据管理,平台采用分布式存储架构,数据通过气候模式输出重写(climate model output rewriter,CMOR)软件进行格式规范,并实现基于THREDDS(thematic real-time environmental distributed data services)的数据组织与共享。在平台建设及软件设计部署等层面,充分考虑数据安全。该平台实现BCC 3个模式约190 TB的试验数据稳定、高效共享,为国内外气候变化领域科研工作者提供获取数据的方便快捷途径与方法,成为推动我国气候模式国际应用的有力技术手段。
The experimental data of ongoing CMIP6(Coupled Model Intercomparison Project Phase 6)are widely used to study the mechanism of climate change and provide technical support for the assessment report of the Intergovernmental Panel on Climate Change(IPCC).With more types of model experiments and more complex climate model,the amount of CMIP experimental data are also increasing rapidly.Therefore,Beijing Climate Center(BCC)has established Earth System Grid Federation(ESGF)data node to share experimental data of BCC CMIP6.BCC has three latest versions of models to participate in the project through model development in recent years.The hardware of the platform adopts a distributed storage architecture and is deployed in the demilitarized zone(DMZ)of China Meteorological Administration,which provides a strong guarantee for its network access rate and security.The data processing module mainly checks the integrity,processes the original model output and adopts the climate model output rewriter(CMOR)software to standardize the format.Thematic real-time environmental distributed data services data server is used for local storage management and data sharing,publishing metadata to ESGF index node for unified data retrieval.The data storage directory adopts hierarchical management structure with self-describing information to realize hierarchical and classified storage of different elements in different experiments.To ensure the security of data sharing,the platform is optimized based on ESGF security framework in addition to physically adding replica storage,and the needs of easy access are also considered.Totally,190 TB experimental data of BCC CMIP6 have been released and shared since the establishment of the platform.The platform has provided important technical support for BCC to participate in the CMIP6,and it has also supported scientific research in the fields of climate change simulation and prediction,weather and climate extremes,global warming and human activities.Subsequent work will provide continuous data serv
作者
马强
颜京辉
魏敏
辛晓歌
张莉
张芳
吴统文
Ma Qiang;Yan Jinghui;Wei Min;Xin Xiaoge;Zhang Li;Zhang Fang;Wu Tongwen(National Meteorological Information Center,Beijing 100081;Department of Computer Science and Technology,Tsinghua University,Beijing 100084;CMA Earth System Modeling and Prediction Centre,Beijing 100081;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081)
出处
《应用气象学报》
CSCD
北大核心
2022年第5期617-627,共11页
Journal of Applied Meteorological Science
基金
国家重点研发计划(2016YFA0602100)。
