Data for Figure 7.6 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 7.6 shows the change in effective radiative forcing (ERF) from 1750 to 2019 by contributing forcing agents (carbon dioxide, other well-mixed greenhouse gases (WMGHGs), ozone, stratospheric water vapour, surface albedo, contrails and aviation-induced cirrus, aerosols, anthropogenic total, and solar).

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How to cite this dataset
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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.

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Figure subpanels
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The figure has 1 panel, with data provided for this panel. A link to the code to plot the figure archived on Zenodo is provided in the Related Documents section of this catalogue record.

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List of data provided
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This dataset contains:

Change in effective radiative forcing (ERF) from 1750 to 2019 by the following contributing forcing agents:
- Carbon dioxide
- Other well-mixed greenhouse gases (WMGHGs)
- Ozone
- Stratospheric water vapour
- Surface albedo
- Contrails and aviation-induced cirrus
- Aerosols
- Anthropogenic total
- Solar

Solid bars represent best estimates, and very likely (5–95%) ranges are given by error bars.
Non-CO2 WMGHGs are further broken down into contributions from methane (CH4), nitrous oxide (N2O) and halogenated compounds.
Surface albedo is broken down into land-use changes and light-absorbing particles on snow and ice.
Aerosols are broken down into contributions from aerosol–cloud interactions (ERFaci) and aerosol–radiation interactions (ERFari). For aerosols and solar, the 2019 single-year values are given (Table 7.8), which differ from the headline assessments in both cases. Volcanic forcing is not shown due to the episodic nature of volcanic eruptions.

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

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Data provided in relation to figure
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Data provided in relation to Figure 7.6:

- Data file: AR6_ERF_1750-2019.csv
- Data file: AR6_ERF_1750-2019_pc05.csv
- Data file: AR6_ERF_1750-2019_pc95.csv

ERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.
ERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.

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Notes on reproducing the figure from the provided data
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The data for the bars in this figure correspond to the 2019 data in final line of the csv files provided.

Data and figures are produced by the Jupyter Notebooks that live inside the notebooks directory of the Chapter 7 GitHub repository, which is linked in the 'Related Documents' section. 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.

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Sources of additional information
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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 the figure, archived on Zenodo.
- Link to the Chapter 7 GitHub repository
- Link to the notebook for plotting figure