EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 C4MIP
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http://cera-www.dkrz.de/WDCC/meta/CMIP6/CMIP6.C4MIP.EC-Earth-Consortium.EC-Earth3-CC
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Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.C4MIP.EC-Earth-Consortium.EC-Earth3-CC' 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-Earth3-CC 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), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS) and LPJ-GUESS v4, ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: PISCES v2, 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, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 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:本数据集涵盖所有遵循`mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version`完整数据参考语法模板发布的`CMIP6.C4MIP.EC-Earth-Consortium.EC-Earth3-CC`相关数据集。
2019年发布的EC-Earth3-CC气候模式包含以下分量:大气分量(atmos):IFS cy36r4(TL255线性缩减高斯网格,等效分辨率为512×256经纬度格点;共91层,顶层气压为0.01 hPa);大气化学分量(atmosChem):TM5(3°×2°分辨率,120×90经纬度格点;共34层,顶层气压为0.1 hPa);陆面分量(land):HTESSEL(集成于IFS的陆面方案)与LPJ-GUESS v4;海洋分量(ocean):NEMO3.6(ORCA1三极网格,主分辨率约1°,热带区域经向加密至1/3°;362×292经纬度格点;共75层,顶层网格水深范围为0~1 m);海洋生物地球化学分量(ocnBgchem):PISCES v2;海冰分量(seaIce):LIM3。
该模式由以下机构联合运行:西班牙国家气象局(AEMET)、西班牙加泰罗尼亚气候研究所(BSC)、意大利国家研究理事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计算研究所(ICHEC)、意大利的里雅斯特国际理论物理中心(ICTP)、葡萄牙环境研究所(IDL)、荷兰皇家海洋研究所(IMAU)、葡萄牙气象局(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、爱尔兰气象服务中心(Met Eireann)、荷兰国家计算与应用科学研究院(NLeSC)、挪威科技大学(NTNU)、英国牛津大学、荷兰国家超级计算中心(surfSARA)、瑞典气象与水文研究所(SMHI)、瑞典斯德哥尔摩大学、比利时天体物理与地球物理研究所(Unite ASTR)、爱尔兰都柏林大学学院、挪威卑尔根大学、丹麦哥本哈根大学、芬兰赫尔辛基大学、西班牙圣地亚哥德孔波斯特拉大学、瑞典乌普萨拉大学、荷兰乌得勒支大学、荷兰阿姆斯特丹自由大学、荷兰瓦赫宁根大学。
通讯地址:EC-Earth联盟,罗斯比中心,瑞典气象与水文研究所/SMHI,瑞典诺尔雪平SE-601 76(EC-Earth-Consortium)。该模式各分量的标称原始分辨率为:大气分量100 km,大气化学分量250 km,陆面分量100 km,海洋分量100 km,海洋生物地球化学分量100 km,海冰分量100 km。
项目背景:本数据集作为国际协同推进的耦合模式比较计划第六阶段(CMIP6;详见《Geoscientific Model Development》专刊:http://www.geosci-model-dev.net/special_issue590.html)的产出成果,其模拟数据可为解答气候科学核心问题的研究提供支撑,同时作为政府间气候变化专门委员会(Intergovernmental Panel on Climate Change,IPCC)第六次评估报告(IPCC-AR6)作者群体的核心科研资源。
CMIP6由世界气候研究计划(World Climate Research Programme,WCRP)下属的耦合模式工作组(Working Group on Coupled Modelling,WGCM)牵头协调。第六阶段延续了此前由气候模式诊断与比较计划(Program for Climate Model Diagnosis and Intercomparison,PCMDI)主导的前期阶段工作,依托地球系统网格联盟(Earth System Grid Federation,ESGF)与环境数据分析中心(Centre for Environmental Data Analysis,CEDA),并联动多项相关活动完成项目落地实施。
原始数据存储于联邦式数据节点集群并实现部分镜像复制,IPCC依赖的多数数据将由德国气候计算中心(German Climate Computing Center,DKRZ)托管的IPCC数据分发中心(IPCC DDC)进行长期归档保存。该项目汇集了全球约120个全球气候模式与近45家科研机构及组织的模拟成果。项目官网:https://pcmdi.llnl.gov/CMIP6。
创建时间:
2023-06-28
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是CMIP6 C4MIP项目的一部分,由EC-Earth-Consortium使用EC-Earth3-CC气候模型生成,模型包含大气、海洋化学、陆地、海洋生物地球化学和海冰等多个组件,由多个欧洲研究机构合作运行。数据旨在支持气候研究,为IPCC第六次评估报告提供基础,并遵循CC BY 4.0许可协议。
以上内容由遇见数据集搜集并总结生成



