MPI-M MPI-ESM1.2-XR model output prepared for CMIP6 HighResMIP
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http://cera-www.dkrz.de/WDCC/meta/CMIP6/CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR
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资源简介:
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR' 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 MPI-ESM1.2-XR climate model, released in 2017, includes the following components:
aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T255; 768 x 384 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model).
The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 50 km, atmos: 50 km, land: 50 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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:本数据集涵盖所有针对`CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR`发布的数据集,其数据引用语法(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`。
2017年发布的MPI-ESM1.2-XR气候模式包含以下组成部分:气溶胶模块:无配置或采用预设MACv2-SP方案;大气模块:ECHAM6.3(谱模式T255;经纬向格点为768×384;共95层,顶层气压0.01百帕);陆面模块:JSBACH3.20;陆冰模块:无配置或采用预设数据;海洋模块:MPIOM1.63(三极TP04格网,分辨率约0.4°;经纬向格点为802×404;共40层,顶层网格水深范围0~12米);海洋生物地球化学模块:HAMOCC6;海冰模块:未命名(采用Semtner零层热力学框架+Hibler 1979动力学框架的海冰模式)。
该模式由德国汉堡(邮编20146)的马克斯·普朗克气象研究所(Max Planck Institute for Meteorology,MPI-M)以原生标称分辨率运行,各模块分辨率如下:气溶胶模块50千米、大气模块50千米、陆面模块50千米、陆冰模块无配置、海洋模块50千米、海洋生物地球化学模块50千米、海冰模块50千米。
本数据集作为国际协调推进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)的产出成果生成。该模拟数据可为解答核心科学问题的气候研究提供支撑,同时作为政府间气候变化专门委员会第六次评估报告(Intergovernmental Panel on Climate Change Sixth Assessment Report,IPCC-AR6)作者团队的参考资源。
CMIP6是由耦合模式工作组(Working Group on Coupled Modelling,WGCM)在世界气候研究计划(World Climate Research Programme,WCRP)框架下协调实施的项目。第六阶段依托此前由气候模式诊断与比对计划(Program for Climate Model Diagnosis and Intercomparison,PCMDI)主导完成的前期项目,并借助地球系统网格联合会(Earth System Grid Federation,ESGF)、环境数据分析中心(Centre for Environmental Data Analysis,CEDA)及众多相关协作活动完成落地实施。原始数据托管于联邦化的数据节点集群并实现部分镜像复制;IPCC所依赖的绝大多数数据目前正由德国气候计算中心(German Climate Computing Center,DKRZ)运维的IPCC数据分发中心(IPCC Data Distribution Centre,IPCC DDC)进行长期归档保存。
该项目涵盖全球约120个全球气候模式及约45个科研机构与组织的模拟实验数据。——项目官方网站:https://pcmdi.llnl.gov/CMIP6。
提供机构:
Earth System Grid Federation
创建时间:
2019-10-14



