EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 PMIP past1000
收藏Mendeley Data2024-03-27 更新2024-06-27 收录
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http://cera-www.dkrz.de/WDCC/meta/CMIP6/CMIP6.PMIP.EC-Earth-Consortium.EC-Earth3-Veg-LR.past1000
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资源简介:
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.PMIP.EC-Earth-Consortium.EC-Earth3-Veg-LR.past1000' 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-Veg-LR climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL159, linearly reduced Gaussian grid equivalent to 320 x 160 longitude/latitude; 62 levels; top level 5 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), 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: 250 km, land: 250 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.
耦合模型比对项目第六阶段(Coupled Model Intercomparison Project Phase 6,CMIP6)数据集:本数据集涵盖了针对`CMIP6.PMIP.EC-Earth-Consortium.EC-Earth3-Veg-LR.past1000`发布的全部数据集,其数据引用语法严格遵循模板`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-Earth3-Veg-LR气候模式包含以下组成分量:大气模块采用IFS cy36r4(TL159,线性缩减高斯网格,等效分辨率对应320×160经纬度格点;共62层,顶层气压为5 hPa);陆面模块采用HTESSEL(集成于IFS的陆面方案)与LPJ-GUESS v4;海洋模块采用NEMO3.6(ORCA1三极网格,主分辨率为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);海冰模块采用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建模研究所(ICHEC)、意大利的里雅斯特国际理论物理中心(ICTP)、葡萄牙气象局(IDL)、荷兰瓦赫宁根大学农业数学与计算机科学研究所(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、爱尔兰气象局(Met Eireann)、荷兰国家应用科学研究院(NLeSC)、挪威科技大学(NTNU)、英国牛津大学、荷兰surfSARA超算中心、瑞典气象和水文局(SMHI)、瑞典斯德哥尔摩大学、比利时ASTR研究组、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,瑞典诺尔雪平市瑞典气象和水文局(SMHI)罗斯比中心,邮编SE-601 76(EC-Earth-Consortium)。该模式的原始名义分辨率为:大气模块250 km,陆面模块250 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型比对项目第六阶段(CMIP6;详见《Geoscientific Model Development》特刊:http://www.geosci-model-dev.net/special_issue590.html)的产出物生成。该模拟数据为解答气候科学核心问题的研究提供支撑,同时为政府间气候变化专门委员会第六次评估报告(IPCC-AR6)的撰稿人提供数据资源。CMIP6由耦合建模工作组(WGCM)作为世界气候研究计划(WCRP)的一部分统筹协调。第六阶段的工作基于此前由气候模型诊断与比对计划(PCMDI)主导开展的前几阶段成果,依托地球系统网格联盟(ESGF)与英国环境数据分析中心(CEDA),并联合众多相关活动完成实施。原始数据存储于分布式数据节点集群并进行部分副本存储,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个全球气候模式与近45家科研机构和组织的模拟成果。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EC-Earth Consortium为CMIP6 PMIP past1000项目生成的气候模型输出数据,包含多组件模拟结果,由国际多机构合作完成,支持气候研究和IPCC-AR6报告。数据遵循CC BY 4.0许可,可通过ESGF平台获取。
以上内容由遇见数据集搜集并总结生成



