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CMIP6 simulation data produced by MRI-AGCM3.2H: HighResMIP

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下载链接:
https://search.diasjp.net//en/dataset/CMIP6_MRI_AGCM3_2_H_HighResMIP
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资源简介:
This dataset contains the results of the HighResMIP experiments produced by the Meteorological Research Institute Atmospheric General Circulation Model version 3.2H (MRI-AGCM3.2H) for the Coupled Model Intercomparison Project Phase 6 (CMIP6). This work has been carried out in the ordinary research activity of the Meteorological Research Institute: "Research on Climate and Environmental Change with Advanced Climate Modeling" (FY2014-2018), "Research on Atmosphere, Ocean, and Earth System Modeling" and "Research on Attribution and Projection of Climatic/Global Environmental Change" (FY2019-2023). A part of the CMIP6 experiments (HighResMIP) was supported by the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number JPMXD0717935561 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. The release of this dataset was supported by the Data Integration and Analysis System (DIAS) of MEXT. All CMIP6 data are collected, managed and published by the Earth System Grid Federation (ESGF), and DIAS serves as one node of the ESGF. All public datasets, including this dataset, are available from ESGF. Please refer to the CMIP6 Guidance for Data Users (see online info below) for information on the use of these datasets, including this dataset.

本数据集收录了日本气象研究所大气环流模式3.2H版(MRI-AGCM3.2H)为耦合模式比较计划第六阶段(CMIP6)所开展的高分辨率模式比较计划(HighResMIP)试验结果。本工作依托日本气象研究所的常规科研项目开展,涵盖"基于先进气候模式的气候与环境变化研究"(2014-2018财年)、"大气、海洋与地球系统模式研究"以及"气候/全球环境变化归因与预估研究"(2019-2023财年)三项课题。作为CMIP6试验组成部分的高分辨率模式比较计划(HighResMIP)的部分内容,得到了日本文部科学省(MEXT)资助的气候模式推进综合研究计划(TOUGOU)支持,项目编号为JPMXD0717935561。本数据集的发布工作获得了文部科学省数据集成与分析系统(DIAS)的支持。所有CMIP6数据均由地球系统网格联盟(ESGF)负责收集、管理与发布,而DIAS是ESGF的节点之一。包括本数据集在内的所有公开CMIP6相关数据集,均可通过ESGF平台获取。有关本数据集及其他CMIP6数据集的使用规范,请参阅《CMIP6数据用户指南》(详见下方在线信息)。
创建时间:
2019-07-11
搜集汇总
背景与挑战
背景概述
该数据集是CMIP6项目的一部分,由日本气象研究所的MRI-AGCM3.2H模型生成,专注于高分辨率模拟实验(HighResMIP),用于气候变化和环境建模研究。数据由ESGF和DIAS管理,支持全球气候变化分析,并基于2014-2023年的研究项目。
以上内容由遇见数据集搜集并总结生成
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