MPI-M MPI-ESM1.2-LR model output prepared for CMIP6 C4MIP 1pctCO2Ndep-bgc

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.C4MIP.MPI-M.MPI-ESM1-2-LR.1pctCO2Ndep-bgc' 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-LR climate model, released in 2017, includes the following components:
aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 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: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 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.MPI-M.MPI-ESM1-2-LR.1pctCO2Ndep-bgc`相关数据集。

2017年发布的MPI-ESM1.2-LR气候模型包含以下组成模块：
气溶胶模块：无原生方案，采用指定的MACv2-SP参数化方案；大气模块：ECHAM6.3谱模式（谱截断T63；经纬度网格192×96；垂直分层47层；顶层气压0.01 hPa）；陆面模块：JSBACH3.20；陆冰模块：无/采用预设方案；海洋模块：MPIOM1.63（双极GR1.5网格，近似1.5°分辨率；经纬度网格256×220；垂直分层40层；顶层网格水深0~12 m）；海洋生物地球化学模块：HAMOCC6；海冰模块：未命名模式（耦合Semtner零层热力学模型与Hibler 1979动力学模型的海冰系统）。

该模型由德国汉堡马克斯·普朗克气象研究所（Max Planck Institute for Meteorology, MPI-M）以原生名义分辨率运行，各模块分辨率如下：气溶胶模块250 km，大气模块250 km，陆面模块250 km，陆冰模块无对应分辨率，海洋模块250 km，海洋生物地球化学模块250 km，海冰模块250 km。

本数据集作为国际协同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，其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）作者群体的参考资源。

CMIP6由世界气候研究计划（World Climate Research Programme, WCRP）下属的耦合建模工作组（Working Group on Coupled Modelling, WGCM）统筹协调。第六阶段延续了此前由气候模型诊断与比对计划（Program for Climate Model Diagnosis and Intercomparison, PCMDI）主导开展的多轮项目，并依托地球系统网格联盟（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。原始数据存储于分布式联邦数据节点集群并实现部分副本分发，IPCC依赖的绝大多数数据已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 Data Distribution Centre, IPCC DDC）进行长期归档保存。

本项目汇聚了全球约120个全球气候模型与近45家科研机构及组织参与。项目官网：https://pcmdi.llnl.gov/CMIP6。

搜集汇总

背景与挑战

背景概述

该数据集是CMIP6项目中MPI-M使用MPI-ESM1.2-LR模型生成的1pctCO2Ndep-bgc实验数据，包含多组件气候模拟，分辨率250公里，旨在支持气候研究和IPCC-AR6报告。