five

EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP piControl

收藏
DataCite Commons2025-05-29 更新2024-07-13 收录
下载链接:
http://cera-www.dkrz.de/WDCC/meta/CMIP6/CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3.piControl
下载链接
链接失效反馈
官方服务:
资源简介:
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3.piControl' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The EC Earth 3.3 climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. The model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.

耦合模式比较计划第六阶段(Coupled Model Intercomparison Project Phase 6,CMIP6)数据集:本数据集涵盖所有发布于`CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3.piControl`的数据集,其完整数据引用语法(Data Reference Syntax)遵循模板:`mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version`。 2019年发布的EC-Earth 3.3气候模式包含以下组分:大气模块采用IFS cy36r4(TL255,线性缩减高斯网格,等效格点为512×256经纬度;共91层,顶层气压为0.01 hPa);陆面模块采用HTESSEL(集成于IFS的陆面过程方案);海洋模块采用NEMO3.6(ORCA1三极网格,基础分辨率约1°,热带区域经向加密至1/3°;格点尺寸为362×292经纬度;共75层,顶层网格深度范围为0~1 m);海冰模块采用LIM3。 该模式由以下多家机构联合运行:西班牙国家气象局(AEMET)、西班牙巴塞罗那超级计算中心(BSC)、意大利国家研究委员会大气科学与气候研究所(CNR-ISAC)、丹麦气象研究所(DMI)、意大利国家新技术、能源和可持续经济发展局(ENEA)、芬兰气象研究所(FMI)、德国基尔海洋研究中心(Geomar)、爱尔兰欧洲气候与环境研究所(ICHEC)、意大利国际理论物理中心(ICTP)、葡萄牙环境与海洋研究所(IDL)、荷兰农业与环境科学研究所(IMAU)、葡萄牙国家气象局(IPMA)、德国卡尔斯鲁厄理工学院(KIT)、荷兰皇家气象研究所(KNMI)、瑞典隆德大学(Lund University)、爱尔兰气象局(Met Eireann)、荷兰SARA超算与网络服务中心(surfSARA)、瑞典气象与水文研究所(SMHI)、瑞典斯德哥尔摩大学(Stockholm University)、比利时ASTR研究组(Unite ASTR)、爱尔兰都柏林大学学院(University College Dublin)、挪威卑尔根大学(University of Bergen)、丹麦哥本哈根大学(University of Copenhagen)、芬兰赫尔辛基大学(University of Helsinki)、西班牙圣地亚哥德孔波斯特拉大学(University of Santiago de Compostela)、瑞典乌普萨拉大学(Uppsala University)、荷兰乌得勒支大学(Utrecht University)、荷兰阿姆斯特丹自由大学(Vrije Universiteit Amsterdam)、荷兰瓦赫宁根大学(Wageningen University)。通讯地址:EC-Earth联盟(EC-Earth-Consortium),瑞典气象与水文研究所(SMHI)罗斯比中心,瑞典诺尔雪平SE-601 76。该模式各组分的原始标称分辨率为:大气模块100 km,陆面模块100 km,海洋模块100 km,海冰模块100 km。 本数据集作为国际协调的耦合模式比较计划第六阶段(CMIP6;详见《Geoscientific Model Development》特刊:http://www.geosci-model-dev.net/special_issue590.html)的产出数据,其模拟结果为解答核心科学问题的气候研究提供支撑,同时亦可作为政府间气候变化专门委员会第六次评估报告(IPCC-AR6)作者的参考资源。 CMIP6由世界气候研究计划(WCRP)下属的耦合模式工作组(WGCM)协调组织。第六阶段继承了此前由气候模式诊断与比较计划(PCMDI)主导的前期研究成果,其实施依托地球系统网格联盟(ESGF)与英国环境数据分析中心(CEDA),并配套多项相关活动。原始数据托管于联邦式数据节点集群并实现部分副本存储,IPCC所依赖的多数数据将由德国气候计算中心(DKRZ)托管的IPCC数据分发中心(IPCC DDC)进行长期归档保存。 该项目汇聚了全球约120个全球气候模式与45家科研机构及组织的模拟成果。项目官网:https://pcmdi.llnl.gov/CMIP6。
提供机构:
Earth System Grid Federation
创建时间:
2019-07-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作