MIROC-ESM model output prepared for CMIP5 lgm, served by ESGF

Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: lgm is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. lgm (3.5 Last glacial maximum) - Version 2: Consistent with PMIP (Paleo Model Intercomparison Project) requirements. Impose Last Glacial Maximum (21 kyrs ago) conditions including ice sheets and atmospheric concentrations of well-mixed greenhouse gasses. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

搜集汇总

背景与挑战

背景概述

该数据集是CMIP5（耦合模式比较计划第五阶段）中'lgm'（末次盛冰期）实验的输出结果，由日本海洋研究开发机构等机构创建，模拟了21,000年前的气候条件，用于古气候比较研究。数据以netCDF格式提供，包含时间序列变量，并通过ESGF和WDCC平台共享，遵循CMIP5的实验设计和元数据规范。