Dataset
Chapter 11 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 11.3 (v20220629)
Abstract
Data for Figure 11.3 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 11.3 shows regional mean changes in annual hottest daily maximum temperature (TXx) for AR6 land regions and the global land, against changes in global mean surface air temperature (GSAT) as simulated by CMIP6 models under different forcing scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5
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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:
Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021: Weather and Climate Extreme Events in a Changing Climate. 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. 1513–1766, doi:10.1017/9781009157896.013.
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Figure subpanels
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The figure has twelve panels, with data provided for all panels in one single file.
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List of data provided
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This dataset contains:
- Annual maximum temperature change (°C) as a function of global warming levels (GWLs) relative to 1850-1900 for the IPCC climate reference regions (Iturbide et al., 2020)
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Data provided in relation to figure
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Figure_11_3_cmip6_TXx_scaling.nc: data for panels (a) through (l)
SSP stands for Shared Socioeconomic Pathway and RCP stands for Representative Concentration Pathway.
SSP1-1.9 and SSP1-2.6 are based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges. SSP1-1.9 is based on RCP1.9, a future pathway with a radiative forcing of 1.9 W/m2 in the year 2100 and SSP1-2.6 is based on RPC2.6.
SSP2-4.5 is based on Shared Socioeconomic Pathway SSP2 with medium challenges to climate change mitigation and adaptation and RCP4.5, a future pathway with a radiative forcing of 4.5 W/m2 in the year 2100.
SSP3-7.0 is based on SSP3 which is characterized by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.
SSP5-8.5 is based on SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.
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Notes on reproducing the figure from the provided data
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Panel (a): shows the individual ensemble members and the median of three SSPs. Other panels show the multi model median (over the 'mod_ens' dimension). The regions 'global', 'ocean', 'land', 'GIC', 'EAN', and 'WAN' are not shown in the figure.
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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 11)
- Link to the Supplementary Material for Chapter 11, which contains details on the input data used in Table 11.SM.9
- Link to the code for the figure, archived on Zenodo
- Link to the Ch11 GitHub repository containing scripts for generating figures
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(s): http://creativecommons.org/licenses/by/4.0/ 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 netCDF formatted
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Related Documents
Process overview
| Title | Caption for Figure 11.3 from Chapter 11 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Regional mean changes in annual hottest daily maximum temperature (TXx) for AR6 land regions and the global land area (except Antarctica), against changes in global mean surface air temperature (GSAT) as simulated by Coupled Model Intercomparison Project Phase 6 (CMIP6) models under different Shared Socio-economic Pathway (SSP) forcing scenarios, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. Changes in TXx and GSAT are relative to the 1850–1900 baseline, and changes in GSAT are expressed as global warming level. (a) Individual models from the CMIP6 ensemble (grey), the multi-model median under three selected SSPs (colours), and the multi-model median (black); (b) to (l) Multi-model median for the pooled data for individual AR6 regions. Numbers in parentheses indicate the linear scaling between regional TXx and GSAT. The black line indicates the 1:1 reference scaling between TXx and GSAT. See Atlas.1.3.2 for the definition of regions. Changes in TXx are also displayed in the Interactive Atlas. For details on the methods, see Supplementary Material 11.SM.2. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- var_id: TXx
- long_name: Annual maximum temperature
- units: °C
- var_id: abbrevs
- var_id: ens
- var_id: exp
- units: °C
- var_id: wl
- standard_name: global_warming_level
- long_name: global warming level
- var_id: model
- var_id: names
- var_id: region
Co-ordinate Variables
Temporal Range
1850-01-01T12:00:00
2100-12-31T12:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |