Dataset
Chapter 8 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 8.13 (v20220718)
Abstract
Data for Figure 8.13 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 8.13 shows zonal and annual mean projected long-term changes in the atmospheric water budget.
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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:
Douville, H., K. Raghavan, J. Renwick, R.P. Allan, P.A. Arias, M. Barlow, R. Cerezo-Mota, A. Cherchi, T.Y. Gan, J. Gergis, D. Jiang, A. Khan, W. Pokam Mba, D. Rosenfeld, J. Tierney, and O. Zolina, 2021: Water Cycle Changes. 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. 1055–1210, doi:10.1017/9781009157896.010.
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Figure subpanels
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There are 9 sub-panels, with data provided for all panels in one single directory.
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List of data provided
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This dataset contains zonal and annual-mean projected long-term changes in the atmospheric water budget in:
- Modelled global precipitation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)
- Modelled global evaporation (CMIP6 simulations, ssp126, ssp245 and ssp585 scenarios, 1650 -2100)
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Data provided in relation to figure
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There is one NetCDF file per sub-panel, named by the scenario and variable of the sub-panels: 3 variables (precipitation : 'pr', evaporation : 'evspsbl' and their difference : 'P-E') times 3 scenarios (ssp126, ssp245 and ssp585).
Each sub-panel NetCDF file has 6 variables. The variable names have suffix:
- mean for multi-model change mean (thick coloured line)
- land_mean for multi-model change mean over land (thick black line),
- pctl5 and pctl95 for multi-model 5 and 95 percentiles (coloured shaded area),
- variab5 and variab95 for 5 and 95 percentiles of the internal variability (grey shaded area).
As an example Fig8-13_pr_ssp126.nc (precipitation, scenario SSP1-2.6), relates to the upper panel (left).
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.
SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.
SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.
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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 8)
- Link to the Supplementary Material for Chapter 8, which contains details on the input data used in Table 8.SM.1
- Link to the code for all figures in Chapter 8, archived on Zenodo.
- Link to the documentation for CAMMAC, the tool used for AR6 analysis.
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 8.13 from Chapter 8 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Zonal and annual-mean projected long-term changes in the atmospheric water budget. Zonal and annual mean projected changes (mm day–1) in P (precipitation, left column), E (evaporation, middle column), and P–E (right column) over both land and ocean areas (thick line) and over land only (dashed line) averaged across 36 to 38 CMIP6 models in the SSP1-2.6 (top row), SSP2-4.5 (middle row) and SSP5-8.5 (bottom row) scenario, respectively. Shading denotes confidence intervals estimated from the CMIP6 ensemble under a normal distribution hypothesis. Colour shading denotes changes over both land and ocean. Grey shading represents internal variability derived from the pre-industrial control simulations. All changes are estimated for 2081–2100 relative to the 1995–2014 base period. Further details on data sources and processing are available in the chapter data table (Table 8.SM.1). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: kg m-2 s-1
- long_name: Evaporation Including Sublimation and Transpiration
- standard_name: water_evapotranspiration_flux
- var_id: evspsbl_variab95
- units: kg m-2 s-1
- standard_name: precipitation_flux
- long_name: Precipitation
- var_id: pr_variab95
- units: kg m-2 s-1
- standard_name: precipitation_flux
- var_id: P-E_variab95
- long_name: TBD_should_improve_function_climaf.driver.CFlongname
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- long_name: latitude
- var_id: lat
Temporal Range
1650-01-01T12:00:00
2100-12-31T12:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |