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Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.12 (v20220721)

Latest Data Update: 2022-07-21
Status: Ongoing
Publication State: Preview
Publication Date:


Data for Figure 7.12 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 7.12 shows contributions of effective radiative forcing, ocean heat uptake, atmospheric heat transport, and radiative feedbacks to regional surface temperature changes at year 100 of abrupt4xCO2 simulations of CMIP6 Earth system models (ESMs).

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.

Figure subpanels
The figure has 4 subpanels, with data provided for panels a-d in the master GitHub repository linked in the documentation.

List of data provided
This dataset contains:

- (a) Pattern of near-surface air temperature change at year 100 of abrupt4xCO2 simulations of CMIP6 Earth system models (ESMs).

- (b–d) Contributions to net Arctic (>60°N), tropical (30°S–30°N), and Antarctic (<60°S) warming calculated by dividing regional-average energy inputs by the magnitude of the regional-average Planck response, at year 100 of abrupt4xCO2 simulations of CMIP6 Earth system models (ESMs).
(b) Arctic warming contributions
(c) Tropics warming contributions
(d) Antarctic warming contributions

The contributions from radiative forcing, changes in moist, dry-static, and total atmospheric energy transport, ocean heat uptake, and radiative feedbacks (orange bars) all sum to the value of net warming (grey bar). Inset shows regional warming contributions associated with individual feedbacks, all summing to the total feedback contribution.

Uncertainties (represented by black whiskers) show the interquartile range (25th and 75th percentiles) across models.

The warming contributions (units of °C) for each process are diagnosed by calculating the energy flux (units of W m–2) that each process contributes to the atmosphere over a given region, either at the top-of-atmosphere or surface, then dividing that energy flux by the magnitude of the regional Planck response (around 3.2 W m–2 °C–1 but varying with region). By construction, the individual warming contributions sum to the total warming in each region.

Radiative kernel methods (Section 7.4.1) are used to decompose the net energy input from radiative feedbacks into contributions from changes in atmospheric water vapour, lapse rate, clouds, and surface albedo (Zelinka et al. (2020) using the Huang et al. (2017) radiative kernel).

The CMIP6 models included are those analysed by Zelinka et al. (2020) and the warming contribution analysis is based on that of Goosse et al. (2018).

Further details on data sources and processing are available in the chapter data table (Table 7.SM.14).

Data provided in relation to figure
Data provided in relation to Figure 7.12:

- Data file: :
- Data file: :

CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.

Notes on reproducing the figure from the provided data
Data and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. Also listed on the 'master' GitHub page linked in the documentation of this catalogue record are external GitHub repositories and locations within the contributed directory where code for figures have been supplied by other authors. These are provided "as-is" and are not guaranteed to be reproducible within this environment. For external GitHub locations, check out the relevant repository READMEs.

Within the processing chain, every notebook is prefixed by a number. To reproduce all results in the chapter, the notebooks should be run in numerical order, because some later things depend on earlier things (historical temperature attribution requires a constrained ensemble of the two layer climate model, which relies on the generation of the radiative forcing time series). This being said, most notebooks should run standalone, as input data is provided where the datasets are small enough (see the 'master;' GitHub page for these).

Sources of additional information
The following weblinks are provided in the Related Documents section of this catalogue record:
- 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 the figure, archived on Zenodo.

Citable as:  [ PROVISIONAL ] (9999): Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.12 (v20220721). NERC EDS Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis,


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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).

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Process overview

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Related parties
Principal Investigators (1)