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Version: 1.0.0 | Published: 13 Feb 2024 | Updated: 472 days ago

Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721)

Dataset

Summary

Citation:
Lunt, D. , 2023, Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721), NERC EDS Centre for Environmental Data Analysis, https://dx.doi.org/10.5285/9ce84c3a242e4b999c24dc1647c89794

Documentation

Description:
Data for Figure 7.19 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 7.19 shows global mean temperature anomaly in models and observations from five time periods. --------------------------------------------------- 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: Forster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. 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. 923–1054, doi:10.1017/9781009157896.009. Citable as: Lunt, D. (2023): Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721). NERC EDS Centre for Environmental Data Analysis, 10 July 2023. doi:10.5285/9ce84c3a242e4b999c24dc1647c89794. https://dx.doi.org --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has 5 subpanels, with data provided for panels a-e. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Global mean temperature anomaly in: (a) Historical (CMIP6 models); (b) post-1975 (CMIP6 models); (c) Last Glacial Maximum (LGM; Cross-Chapter Box 2.1; PMIP4 models; Kageyama et al., 2021; Zhu et al., 2021); (d) mid-Pliocene Warm Period (MPWP; Cross-Chapter Box 2.4; PlioMIP models; Haywood et al., 2020; Zhang et al., 2021); (e) Early Eocene Climatic Optimum (EECO; Cross-Chapter Box 2.1; DeepMIP models; Zhu et al., 2020; Lunt et al., 2021). Grey circles show models with ECS in the assessed very likely range; models in red have an ECS greater than the assessed very likely range (>5°C); models in blue have an ECS lower than the assessed very likely range (<2°C). Black ranges show the assessed temperature anomaly derived from observations (Section 2.3). The historical anomaly in models and observations is calculated as the difference between 2005–2014 and 1850–1900, and the post-1975 anomaly is calculated as the difference between 2005–2014 and 1975–1984. For the LGM, MPWP and EECO, temperature anomalies are compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’). All model simulations of the MPWP and LGM were carried out with atmospheric CO2 concentrations of 400 and 190 ppm respectively. However, CO2 during the EECO is relatively more uncertain, and model simulations were carried out at either 1120ppm or 1680 ppm (except for the one high-ECS EECO simulation which was carried out at 840 ppm; Zhu et al., 2020). The one low-ECS EECO simulation was carried out at 1680 ppm. Further details on data sources and processing are available in the chapter data table (Table 7.SM.14). ECS stands for Equilibrium Climate Sensitivity. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Data provided in relation to Figure 7.19: - Data file: Figure7_19_mod.csv - Data file: Figure7_19_obs.csv --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The data provided is the output data of the figure which can be used to reproduce the figure. Link to the plotting script for reproducing this figure 'ipcc_figure_7.19.ipynb' can be found in the Related Documents section of this catalogue record. The original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL. ----------------------------------------- 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 7) - Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7. - Link to the code for Chapter 7, archived on Zenodo - Link to scripts used to reproduce figure from data - Link to the Chapter 7 GitHub repository
Is Part Of:
IPCC Sixth Assessment Report (AR6) Chapter 7

Coverage

Geographic Bounding Box

Lower Left Latitude:
-90
Lower Left Longitude:
-180
Upper Right Latitude:
90
Upper Right Longitude:
180

Provenance

Source:
Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI). Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).

Accessibility

Access

Access Service:
This data is publicly avaliable for download. When using these data you must cite them correctly using the citation given on the Data Catalogue record.
Format:
CSV
Language:
en

Usage

Resource Creator:
Lunt, D.