Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.19 (v20230203)

Name: Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.19 (v20230203)
Creator: catalogue.ceda.ac.uk
Published: 2023-02-15 00:00:00
License: 暂无描述

catalogue.ceda.ac.uk2023-02-15 更新2025-03-26 收录

下载链接：

https://catalogue.ceda.ac.uk/uuid/dce10ff4596241e190aaea9291cc4249

下载链接

链接失效反馈

官方服务：

资源简介：

Data for Figure 4.19 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 4.19 shows the projected mid- and long-term change of annual mean surface temperature. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 553–672, doi:10.1017/9781009157896.006. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has four panels, with data provided for all panels in one NetCDF file. a) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP1-2.6 b) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP1-2.6 c) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2041-2060 relative to 1995-2014 in SSP3-7.0 d) Global projected spatial patterns of multi-model mean change in annual mean near-surface air temperature (°C) in 2081-2100 relative to 1995-2014 in SSP3-7.0 --------------------------------------------------- List of data provided --------------------------------------------------- CMIP6 multi-model mean projected change in surface air temperature (2041–2060 and 2081-2100) from SSP1‑2.6 and SSP3‑7.0 relative to 1995–2014. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- The variable tas includes the map information as a function of latitude and longitude and has a dimension named panel, which includes the data for all panels a-d. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. SSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100. SSP3-7.0 is based on Shared Socioeconomic Pathway SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Chapter 4) - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1

数据集描述翻译：本数据集源自《政府间气候变化专门委员会第六次评估报告（AR6）》工作组I（WGI）的贡献。图4.19展示了预测的中长期年度平均地表温度变化。 --------------------------------------------------- 如何引用此数据集 --------------------------------------------------- 在引用此数据集时，请同时包含以下数据引用（在'可引用为'下）以及以下报告组成部分的引用，该组成部分包含该图的来源： Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: 未来全球气候：基于情景的预测与近期信息。在《2021年气候变化：物理科学基础》。政府间气候变化专门委员会第六次评估报告工作组I的贡献[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]。剑桥大学出版社，剑桥，英国，纽约，美国，第553–672页，doi:10.1017/9781009157896.006。 --------------------------------------------------- 图子面板 --------------------------------------------------- 该图包含四个面板，所有面板的数据均在一个NetCDF文件中提供。 a) 在SSP1-2.6情景下，相对于1995-2014年，2041-2060年全球多模型平均年度近地表气温变化的投影空间模式（°C） b) 在SSP1-2.6情景下，相对于1995-2014年，2081-2100年全球多模型平均年度近地表气温变化的投影空间模式（°C） c) 在SSP3-7.0情景下，相对于1995-2014年，2041-2060年全球多模型平均年度近地表气温变化的投影空间模式（°C） d) 在SSP3-7.0情景下，相对于1995-2014年，2081-2100年全球多模型平均年度近地表气温变化的投影空间模式（°C） --------------------------------------------------- 提供的数据列表 --------------------------------------------------- CMIP6多模型平均表面空气温度变化（2041–2060年和2081-2100年）从SSP1-2.6和SSP3-7.0相对于1995–2014年的数据。 --------------------------------------------------- 与图相关的数据提供 --------------------------------------------------- 变量tas包含纬度和经度作为函数的地图信息，并具有一个名为面板的维度，其中包含所有面板a-d的数据。 CMIP6是耦合模型比较计划的第六阶段。 SSP1-2.6基于共享社会经济路径SSP1，具有低气候变化缓解和适应挑战，以及RCP2.6，一个在2100年具有2.6 W/m2辐射强迫的未来路径。 SSP3-7.0基于共享社会经济路径SSP3，该路径以缓解和适应的挑战为特征，以及RCP7.0，一个在2100年具有7.0 W/m2辐射强迫的未来路径。 --------------------------------------------------- 附加信息的来源 --------------------------------------------------- 以下链接提供在目录记录的'相关文档'部分： - 链接到IPCC AR6网站上的图 - 链接到包含图的报告组成部分（第4章） - 链接到第4章的补充材料，其中包含用于表格4.SM.1的输入数据的详细信息

提供机构：

catalogue.ceda.ac.uk