Observation Instance

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    "ob_id": 37828,
    "uuid": "f0f622f4e9d14f95949a5cc44451e8bb",
    "title": "Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.SM.1 (v20220721)",
    "abstract": "Data for Figure 7.SM.1 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).\r\n\r\nFigure 7.SM.1 shows total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n\r\n---------------------------------------------------\r\n How to cite this dataset\r\n ---------------------------------------------------\r\n 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:\r\nForster, 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.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 13 subpanels, with data provided for all panels in the master GitHub repository linked in the documentation.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n\r\n- Total effective radiative forcing from SSP scenarios with respect to 1750 for 2000-2500, 14 showing best estimate and 5–95% uncertainty range. \r\n- Graph (top panel) showing radiative forcing trajectories for (shaded regions):\r\n  - SSP5-8.5 (brown line)\r\n  - SSP3-7.0-lownNTCF (red dashed line)\r\n  - SSP3-7.0 (red line)\r\n  - SSP3-7.0-lowNTCFCH4 (red dotted line)\r\n  - SSP4-6.0 (orange line)\r\n  - SSP2-4.5 (yellow line)\r\n  - SSP5-3.4-over (early overshoot of purple line)\r\n  - SSP4-3.4 (light blue line)\r\n  - SSP1-2.6 (purple line)\r\n  - SSP1-1.9 (green line)\r\n- Radiative forcing component breakdowns (smaller subpanels):\r\n  - CO2 (carbon dioxide)\r\n  - CH4 (methane)\r\n  - N2O (nitrous oxide)\r\n  - Halogenated gases\r\n  - O3 (ozone)\r\n  - Strat H2O (stratospheric water)\r\n  - Contrails and aviation induced cirrus\r\n  - Aerosol-radiation interactions\r\n  - Aerosol-cloud interactions\r\n  - Light absorbing particles on snow and ice\r\n  - Land use\r\n  - Solar\r\n\r\nUncertainty ranges are not shown for SSP3-7.0-lowNTCF and SSP3-7.0-NTCFCH4 for visual clarity. Bottom matrix shows the best estimate ERF for each anthropogenic component, and solar (volcanic ERF is zero beyond 2024).\r\n\r\nSSP stands for Shared Socioeconomic Pathway.\r\nSSP119 is the Shared Socioeconomic Pathway which represents the lowest scenario of radiative forcing and development scenarios, consistent with RCP1.9.\r\nSSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.\r\nSSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.\r\nSSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0.\r\nSSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.\r\nNTCF stands for Near-Term Climate Forcer.\r\nERF stands for Effective Radiative Forcing.\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 7.SM.1:\r\n\r\n - Data file: ERF_%_1750-2500.csv'\r\n - Data file: ERF_%_1750-2500_pc05.csv\r\n - Data file: ERF_%_1750-2500_pc95.csv\r\n - Data file: ERF_%_minorGHGs_1750-2500.csv\r\n\r\nEach % is substituted for one of the following scenarios:\r\nSSP119 - best estimate.\r\nSSP119 - 5th percentile.\r\nSSP119 - 95th percentile.\r\nSSP119 minor GHGs - best estimate.\r\n\r\nSSP126 - best estimate.\r\nSSP126 - 5th percentile.\r\nSSP126 - 95th percentile.\r\nSSP126 minor GHGs - best estimate. \r\n\r\nSSP245 - best estimate.\r\nSSP245 - 5th percentile.\r\nSSP245 - 95th percentile.\r\nSSP245 minor GHGs - best estimate.\r\n\r\nSSP334 - best estimate.\r\n\r\nSSP370 - best estimate.\r\nSSP370 - 5th percentile.\r\nSSP370 - 95th percentile.\r\nSSP370 minor GHGs - best estimate.\r\nSSP370 low NTCF - best estimate.\r\nSSP370 low NTCF - 5th percentile.\r\nSSP370 low NTCF - 95th percentile.\r\nSSP370 low NTCF minor GHGs - best estimate.\r\nSSP370 low NTCFCH4 - best estimate.\r\nSSP370 low NTCFCH4 - 5th percentile.\r\nSSP370 low NTCFCH4 - 95th percentile.\r\nSSP370 low NTCFCH4 minor GHGs - best estimate.\r\n\r\nSSP434 - best estimate.\r\nSSP434 - 5th percentile.\r\nSSP434 - 95th percentile.\r\nSSP434 minor GHGs - best estimate.\r\n\r\nSSP460 - best estimate.\r\nSSP460 - 5th percentile.\r\nSSP460 - 95th percentile.\r\nSSP460 minor GHGs - best estimate.\r\n\r\nSSP534 over - best estimate.\r\nSSP534 over - 5th percentile.\r\nSSP534 over - 95th percentile.\r\nSSP534 over minor GHGs - best estimate.\r\n\r\nSSP585 - best estimate.\r\nSSP585 - 5th percentile.\r\nSSP585 - 95th pecentile.\r\nSSP585 minor GHGs - best estimate.\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nData 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.\r\n\r\nWithin 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).\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the report component containing the figure (Chapter 7)\r\n - 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.\r\n - Link to the Jupyter notebook for plotting the figure from the Chapter 7 GitHub repository\r\n - Link to the code for the figure, archived on Zenodo.",
    "keywords": "IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, Chapter 7, Figure 7.SM.1, effective radiative forcing, ERF",
    "publicationState": "citable",
    "dataPublishedTime": "2023-06-01T11:14:26",
    "doiPublishedTime": "2023-07-10T15:06:54.951011",
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    "dataLineage": "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).\r\n Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).",
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