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Dataset

 

Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.28 (v20221104)

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

Abstract

Data for Figure Atlas.28 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure Atlas.28 shows changes in annual mean surface air temperature, precipitation and sea level rise relative to the 1995–2014 baseline for the reference regions in the Small Islands region for different lines of evidence (CMIP5, CORDEX and CMIP6).

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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 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: http://doi.org/10.5281/zenodo.5171760
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Figure subpanels
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The figure has twelve panels, with data provided for all panels in the master GitHub repository linked in the documentation.

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List of data provided
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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).
Sea level rise data from the CMIP6 ensemble is also used for the right-hand plot of each panel.

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Data provided in relation to figure
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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 regions in the Small Islands are used for the production of this figure.

Sea level projections data can be found here: https://www.wdc-climate.de/ui/entry?acronym=IPCC-DDC_AR6_Sup_SLPr

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.
SSP2-4.5 is based on 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.
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.
RCP4.5 is the Representative Concentration Pathway for 4.5 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.

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Notes on reproducing the figure from the provided data
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Data and figures are produced by the Jupyter Notebooks that live inside the notebooks directory. To reproduce each panel in this figure, use the 'regional-scatter-plots_R.ipynb' notebook. Information on reproducibility can be found in the 'reproducibility/projections' folder of the Atlas GitHub repository.

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.

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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 (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.
- Link to IPCC AR6 WGI Sea Level Projections

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.28 (v20221104). NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/89e1b69ad74146cfa8b0a941108811c2
Abbreviation: Not defined
Keywords: IPCC, WG1, WGI, Atlas, AR6, CMIP5, CMIP6, CORDEX, precipitation, temperature, regionally aggregated results, Small Islands, IPCC-DDC, Sixth Assessment Report, Working Group 1, Physical Science Basis

Details

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: 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 curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).

File Format:
Files are CSV formatted on the Atlas GitHub repository

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for Figure Atlas.28 from Chapter Atlas 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 mean surface air temperature, precipitation and sea level rise relative to the 1995–2014 baseline for the reference regions in the Small Islands (warming since the 1850–1900 pre-industrial baseline is also provided as an offset). Maps on the top show global June–July–August (JJA) precipitation changes (%, relative to 1995–2014) projected for 2081–2100 under RCP8.5 (left) and SSP5-8.5 (right) for the CMIP5 and CMIP6 ensembles, respectively. Bar plots in the left panel of each region triplet show the median (dots) and 10th–90th percentile range (bars) across each model ensemble for annual mean temperature changes for four datasets (CMIP5 in intermediate colours; a subset of CMIP5 used to drive CORDEX in light colours; CORDEX overlying the CMIP5 subset with dashed bars; and CMIP6 in solid colours); the first six groups of bars represent the regional warming over two time periods (near-term 2021–2040 and long-term 2081–2100) for three scenarios (SSP1-2.6/RCP2.6, SSP2-4.5/RCP4.5 and SSP5-8.5/RCP8.5), and the remaining bars correspond to four global warming levels (GWLs: 1.5°C, 2°C, 3°C and 4°C). Bar plots in the right panel show the median (dots) and 5th–95th percentile range (bars) sea level rise from the CMIP6 ensemble (see Chapter 9 for details) for the same time periods and scenarios. The scatter diagrams of temperature against precipitation changes display the median (dots) and 10th–90th percentile ranges for the above four warming levels for December–January–February (DJF; middle panel) and June–July–August (JJA; right panel), respectively; for the CMIP5 subset only the percentile range of temperature is shown, and only for 3°C and 4°C GWLs. Changes are absolute for temperature (in °C) and relative (as %) for precipitation. See Atlas.1.3 for more details on reference regions (Iturbide et al., 2020) and Atlas.1.4 for details on model data selection and processing. 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

None

Output Description

None

Software Reference

None

No variables found.