CMIP6 climate projections

This catalogue entry provides daily and monthly global climate projections data from a large number of experiments, models and time periods computed in the framework of the sixth phase of the Coupled Model Intercomparison Project (CMIP6).
CMIP6 data underpins the Intergovernmental Panel on Climate Change 6th Assessment Report. The use of these data is mostly aimed at:

addressing outstanding scientific questions that arose as part of the IPCC reporting process;
improving the understanding of the climate system;
providing estimates of future climate change and related uncertainties;
providing input data for the adaptation to the climate change;
examining climate predictability and exploring the ability of models to predict climate on decadal time scales;
evaluating how realistic the different models are in simulating the recent past.

The term "experiments" refers to the three main categories of CMIP6 simulations:

Historical experiments which cover the period where modern climate observations exist. These experiments show how the GCMs performs for the past climate and can be used as a reference period for comparison with scenario runs for the future. The period covered is typically 1850-2014.
Climate projection experiments following the combined pathways of Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP). The SSP scenarios provide different pathways of the future climate forcing. The period covered is typically 2015-2100.

This catalogue entry provides both two- and three-dimensional data, along with an option to apply spatial and/or temporal subsetting to data requests. This is a new feature of the global climate projection dataset, which relies on compute processes run simultaneously in the ESGF nodes, where the data are originally located.
The data are produced by the participating institutes of the CMIP6 project.

本目录条目提供了来自大量实验、模型和时期的每日及月度全球气候预测数据，这些数据是在耦合模式比较计划（CMIP6）第六阶段框架下计算得出的。CMIP6数据构成了政府间气候变化专门委员会第六次评估报告的基础。这些数据的运用主要旨在：解决作为IPCC报告过程一部分产生的未解科学问题；深化对气候系统的认知；提供未来气候变化及其相关不确定性的估计；为气候变化适应提供输入数据；探讨气候的可预测性以及模型预测十年时间尺度气候的能力；评估不同模型在模拟近期历史气候时的现实性。'实验'一词指的是CMIP6模拟的三个主要类别：历史实验，涵盖现代气候观测存在的时期。这些实验展示了全球气候模型（GCM）对过去气候的表现，并可作为与未来情景运行进行比较的参考期，通常涵盖的时期是1850-2014年。气候预测实验遵循共享社会经济路径（SSP）和代表性浓度路径（RCP）的联合路径。SSP情景提供了不同的未来气候强迫路径。通常涵盖的时期是2015-2100年。本目录条目提供了二维和三维数据，并提供了对数据请求应用空间和/或时间子集的选项。这是全球气候预测数据集的一项新功能，它依赖于在原始数据所在的地学数据共享设施（ESGF）节点上同时运行的计算过程。这些数据由CMIP6项目的参与机构生成。

搜集汇总

背景与挑战

背景概述

该数据集是第六次耦合模式比较计划（CMIP6）的全球气候预测数据，提供每日和月度数据，覆盖从1860年到2300年的时间范围和全球空间范围。数据主要用于支持IPCC第六次评估报告，包括历史实验（1850-2014年）和基于SSP/RCP情景的未来预测（2015-2100年），旨在解决气候科学问题、评估模型性能和提供未来气候变化估计。