Dataset
Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.15 (v20220916)
Abstract
Data for Figure TS.15 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure TS.15 shows contribution to ERF and global surface temperature change from component emissions between 1750 to 2019 based on CMIP6 models, and net aerosol effective radiative forcing (ERF) from different lines of evidence.
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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:
Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.
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Figure subpanels
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The figure has three panels with data provided for all panels in the underlying chapter figures (6.12 and 7.5).
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List of data provided
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This dataset contains:
Figure 6.12:
- Contribution to effective radiative forcing (ERF) (a) and global mean surface air temperature (GSAT) change (b) from component emissions between 1750 to 2019 based on CMIP6 models
Figure 7.5:
- Net aerosol effective radiative forcing (ERF), in W m-2, from:
- AR5 assessment
- AR6 assessment comprising the following:
(Energy balance constraints [–2 to 0 W m–2 with no best estimate])
(Observational evidence from satellite retrievals of –1.4 [–2.2 to –0.6] W m–2)
(Combined model-based evidence of –1.25 [–2.1 to –0.4] W m–2)
Details about the dataset in the catalogue records of the underlying chapter figures (6.12 and 7.5)
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Data provided in relation to figure
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Panel a and panel b:
- Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF.csv.
- Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_ERF_uncertainty.csv.
- Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT.csv.
- Data file: fig_em_based_ERF_GSAT_period_1750-2019_values_dT_uncertainty.csv.
Panel c:
- Data file: table7.6.csv: input data for figure 7.5
CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
ERFari stands for Effective Radiative Forcing of aerosol-radiation interaction.
ERFaci stands for Effective Radiative Forcing of aerosol-cloud interaction.
IRFari stands for Instantaneous Radiative Forcing of aerosol-radiation interaction.
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Notes on reproducing the figure from the provided data
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Panel a and panel b are identical to panel a and panel b of figure 6.12. Panel c is identical to figure 7.5.
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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 (Technical Summary)
- Link to the code for the figure, archived on Zenodo.
- Link to underlying chapter figures from which the figure was generated (Figure 6.12, Figure 7.5)
- Link to code used to produce figure 7.5 on the Chapter 7 GitHub repository.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: https://github.com/IPCC-WG1/Chapter-7/blob/main/LICENSE. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
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 Quality: |
Data as provided by the IPCC
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| File Format: |
Data are CSV formatted
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Related Documents
Process overview
| Title | Caption for Figure TS.15 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Contrbution to ERF and b) global surface temperature change from component emissions between 1750 to 2019 based on CMIP6 models and c) net aerosol effective radiative forcing (ERF) from different lines of evidence. The intent of the figure is to show advances since AR5 in the understanding of a) aerosol ERF from different lines of evidence as assessed in Chapter 7, b) emissions-based ERF and c) global surface temperature response for SLCFs as estimated in Chapter 6. In panel a), ERFs for well-mixed greenhouse gases (WMGHGs) are from the analytical formulae. ERFs for other components are multi-model means based on ESM simulations that quantify the effect of individual components. The derived emission-based ERFs are rescaled to match the concentration- based ERFs in Figure 7.6. Error bars are 5-95% and for the ERF account for uncertainty in radiative efficiencies and multi-model error in the means. In panel b), the global mean temperature response is calculated from the ERF time series using an impulse response function. In panel c), the AR6 assessment is based on energy balance constraints, observational evidence from satellite retrievals, and climate model-based evidence. For each line of evidence, the assessed best-estimate contributions from ERF due to ERFari and ERFaci are shown with darker and paler shading, respectively. Estimates from individual CMIP5 and CMIP6 models are depicted by blue and red crosses, respectively. The observational assessment for ERFari is taken from the instantaneous forcing due to aerosol-radiation interactions (IRFari). Uncertainty ranges are given in black bars for the total aerosol ERF and depict very likely ranges. {Sections 7.3.3, 6.4.2, Cross-Chapter Box 7.1, Figures 6.12, 7.5 ; Table 7.8} |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: W/m2
- long_name: 95-50
- var_id: 95-50
- units: W/m2
- long_name: 95-50_SE
- var_id: 95-50_SE
- units: W/m2
- long_name: 95-50_period
- var_id: 95-50_period
- units: degrees C
- long_name: Aerosol
- var_id: Aerosol
- units: degrees C
- long_name: CH4_lifetime
- var_id: CH4_lifetime
- units: degrees C
- long_name: CO2
- var_id: CO2
- units: degrees C
- long_name: Cloud
- var_id: Cloud
- units: degrees C
- long_name: HC
- var_id: HC
- units: degrees C
- long_name: HFCs
- var_id: HFCs
- units: degrees C
- var_id: N2O
- long_name: N2O
- units: degrees C
- var_id: O3
- long_name: O3
- units: W/m2
- long_name: SE
- var_id: SE
- units: W/m2
- long_name: Species
- var_id: Species
- units: degrees C
- long_name: Strat_H2O
- var_id: Strat_H2O
- units: degrees C
- long_name: emission_experiment
- var_id: emission_experiment
- units: W/m2
- var_id: std
- long_name: std
Co-ordinate Variables
Temporal Range
1750-01-01T12:00:00
2019-12-31T12:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |