Version: 1.0.0 | Published: 13 Mar 2024 | Updated: 444 days ago
Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.12 (v20220824)
Dataset
Summary
Citation:
Blichner, S.M.; Berntsen, T., 2023, Chapter 6 of the Working Group I
Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.12
(v20220824), NERC EDS Centre for Environmental Data
Analysis, https://dx.doi.org/10.5285/c6b366dabf9b4536b5500e5f1f7a7235
Documentation
Description:
Input Data for Figure 6.12 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 6.12 shows contribution to effective radiative forcing (ERF) and global mean surface air temperature (GSAT) change from component emissions between 1750 to 2019 based on CMIP6 models.
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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:
Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers. 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. P?©an, 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. Yelek?ßi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 817‚Äì922, doi:10.1017/9781009157896.0
Citable as: Blichner, S.M.; Berntsen, T. (2023): Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.12 (v20220824). NERC EDS Centre for Environmental Data Analysis, 03 July 2023. doi:10.5285/c6b366dabf9b4536b5500e5f1f7a7235. https://dx.doi.org/10.5285/c6b366dabf9b4536b5500e5f1f7a7235
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Figure subpanels
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The figure has 2 subpanels, with data provided for both panels.
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List of data provided
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This dataset contains:
- 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
ERFs for the direct effect of well-mixed greenhouse gases (WMGHGs) are from the analytical formulae in section 7.3.2, H2O (strat) is from Table 7.8. ERFs for other components are multi-model means from Thornhill et al. (2021b) and are based on ESM simulations in which emissions of one species at a time are increased from 1850 to 2014 levels. The derived emissions-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. ERFs due to aerosol–radiation (ERFari) and cloud effects are calculated from separate radiation calls for clear-sky and aerosol-free conditions (Ghan, 2013; Thornhill et al., 2021b).
‘Cloud’ includes cloud adjustments (semi-direct effect) and ERF from indirect aerosol-cloud to –0.22 W m–2 for ERFari and –0.84 W m–2 interactions (ERFaci). The aerosol components (SO2, organic carbon and black carbon) are scaled to sum to –0.22 W m–2 for ERFari and –0.84 W m–2 for ‘cloud’ (Section 7.3.3).
For GSAT estimates, time series (1750–2019) for the ERFs have been estimated by scaling with concentrations for WMGHGs and with historical emissions for SLCFs. The time variation of ERFaci for aerosols is from Chapter 7. The global mean temperature response is calculated from the ERF time series using an impulse response function (Cross-Chapter Box 7.1) with a climate feedback parameter of –1.31 W m–2 °C–1.
Contributions to ERF and GSAT change from contrails and light-absorbing particles on snow and ice are not represented, but their estimates can be seen on Figure 7.6 and 7.7, respectively.
Further details on data sources and processing are available in the chapter data table (Table 6.SM.3)
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
ERFari stands for Effective Radiative Forcing of aerosol-radiation interactions.
ERFaci stands for Effective Radiative Forcing of aerosol-cloud interactions.
For full description please see: https://catalogue.ceda.ac.uk/uuid/c6b366dabf9b4536b5500e5f1f7a7235
Is Part Of:
\u0027IPCC Sixth Assessment Report (AR6) Chapter 6: Short-lived climate forcers
Coverage
Start Date:
01 January 1750
End Date:
31 December 2019
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
- XLSX
- txt
- net-CDF
Language:
en
Usage
Resource Creator:
Blichner, S.M.; Berntsen, T.
Origin
Name:
IPCC Data Catalogue