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Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.13 (v20221004)

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-06-19


Data for Figure Atlas.13 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure Atlas.13 shows changes in annual mean surface air temperature and precipitation from different lines of evidence (CMIP5 and CMIP6).

How to cite this dataset
When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations:
For the report component from which the figure originates:
Gutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. 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. 1927–2058, doi:10.1017/9781009157896.021

Iturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from:

Figure subpanels
The figure has eight panels, with data provided for all panels in the master GitHub repository linked in the documentation.

List of data provided
This dataset contains global monthly precipitation and near surface temperature aggregated by reference region for model output datasets:
- CMIP5, CMIP6 (1850-2100)
- CORDEX (1970-2100)
These are presented separately for land, sea, and land-sea gridboxes (a single run per model). Regional averages are weighted by the cosine of latitude in all cases.
An observation-based product (1979-2016) is also provided in the same format for reference: W5E5 (Lange, 2019).

Data provided in relation to figure
All datasets of monthly precipitation and near surface temperature aggregated by region for CMIP5, CMIP6 and CORDEX models are provided in the labelled directories and are used for the production of this figure.

CMIP5 is the fifth phase of the Coupled Model Intercomparison Project.
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP.
SSP1-2.6 is based on SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 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.
RCP2.6 is the Representative Concentration Pathway for 2.6 Wm-2 global warming by 2100.
RCP8.5 is the Representative Concentration Pathway for 8.5 Wm-2 global warming by 2100.
GWL stands for global warming levels.
JJA and DJF stand for June, July, August and December, January, February respectively.

Notes on reproducing the figure from the provided data
Data and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure using the 'regional-scatter-plots_R.ipynb' notebook, select the region: 'world', area: 'land' or 'landsea' and scatter.seasons: list of months by number e.g. boreal summer (JJA): list(c(12, 1, 2),6:8).

The notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.

Some of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, a data loading shortcut is provided, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.

Sources of additional information
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 (Atlas)
- Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15.
- Link to the code for the figure, archived on Zenodo.
- Link to the necessary notebooks for reproducing the figure from Github.

Citable as:  Iturbide, M.; Gutiérrez, J.M.; Bedia, J.; Cimadevilla, E.; Díez-Sierra, J.; Manzanas, R.; Casanueva, A.; Baño-Medina, J.; Milovac, J.; Milovac, S.; Cofiño, A.S.; San Martín, D.; García-Díez, M.; Hauser, M.; Huard, D.; Yelekci, Ö.; Fernández, J. (2023): Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.13 (v20221004). NERC EDS Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: IPCC, WG1, WGI, Atlas, AR6, CMIP5, CMIP6, CORDEX, precipitation, temperature, regionally aggregated results, global, IPCC-DDC, Sixth Assessment Report, Working Group 1, Physical Science Basis


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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: 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 curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).

File Format:

Process overview

This dataset was generated by the computation detailed below.

Caption for Figure Atlas.13 from Chapter Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)


Changes in annual mean surface air temperature and precipitation averaged over the global land–sea (left) and global land areas (right) in each horizontal pair of panels. The top-left two panels show the median (dots) and 10th–90th percentile range across each model ensemble for temperature change, for two datasets (CMIP5 and CMIP6) and two scenarios (SSP1-2.6/RCP2.6 and SSP5-8.5/RCP8.5). The first 12 bars represent the projected changes over three time periods (near-term 2021–2040, mid-term 2041–2060 and long-term 2081–2100) compared to the baseline period of 1995–2014, and the remaining four bars represent the additional warming projected relative to the same baseline to reach four global warming levels (GWLs; 1.5°C, 2°C, 3°C and 4°C). The top-right two panels show scatter diagrams of temperature against precipitation changes, displaying the median (dots) and 10th–90th percentile ranges for the same four GWLs, again representing the additional changes for the global temperature to reach the respective GWL from the baseline period of 1995–2014. In all panels the dark (light) grey lines or dots represent the CMIP6 (CMIP5) simulated changes in temperature and precipitation between the 1850–1900 baseline used for calculating GWLs and the recent-past baseline of 1995–2014 used to calculate the changes in the bar diagrams and scatter plots. Changes are absolute for temperature and relative for precipitation. The script used to generate this figure is available online (Iturbide et al., 2021) and similar results can be generated in the Interactive Atlas for flexibly defined seasonal periods. Further details on data sources and processing are available in the chapter data table (Table Atlas.SM.15).

Input Description


Output Description


Software Reference


No variables found.