Dataset
Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.12 (v20220622)
Abstract
Data for Figure 10.12 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 10.12 shows Southeastern South America positive mean precipitation trend and its drivers during 1951-2014.
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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:
Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. 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. 1363–1512, doi:10.1017/9781009157896.012.
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Figure subpanels
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The figure has 4 subpanels. Data for 3 subpanels (b-d) is provided. Subpanel (a) is a schematic.
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List of data provided
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The data is annual December-Jannuary (DJF) precipitation means for:
- Observed and model relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)
- Observed precipitation trends 1951-2014 South America
- Trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W)
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Data provided in relation to figure
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Panel (b):
Observed (CRU TS, black line, and CRU TS no-running mean (bars)) and Model (MPI-ESM runs with min (brown) and max (green) trends) precipitation rate relative anomalies over 1951-2014 with respect to 1995-2014 average over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W):
- Data file:
Fig_10_12_panel-b_timeseries.csv
Panel (c):
Observed precipitation OLS linear trends 1951-2014 over South America:
- Data files:
Fig_10_12_panel-c_mapplot_pr_trend_CRU_single_trend.nc,
Fig_10_12_panel-c_mapplot_pr_trend_GPCC_single_trend.nc
Panel (d):
OLS linear trends in precipitation over 1951-2014 over south-eastern South America (26.25°S–38.75°S, 56.25°W–66.25°W): observed data (GPCC, CRU TS: black crosses), individual members of CMIP6 historical (red circles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading):
- Data file:
Fig_10_12_panel-d_trends.csv
Acronyms:
CRU TS- Climatic Research Unit Time Series,
CMIP - Coupled Model Intercomparison Project,
SMILEs -single model initial-condition large ensembles,
MIROC - Model for Interdisciplinary Research on Climate,
CSIRO - Commonwealth Scientific and Industrial Research Organisation,
MPI - Max-Planck-Institut für Meteorologie,
ESM - Earth System Model,
d4PDF - Database for Policy Decision-Making for Future Climate Change, OLS - ordinary least squares regression.
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Notes on reproducing the figure from the provided data
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The code for ESMValTool is provided.
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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 10)
- Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11
- Link to the code for the figure, archived on Zenodo.
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: |
txt, netCDF, csv
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Related Documents
Process overview
| Title | Caption for Figure 10.12 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | South-Eastern South America positive mean precipitation trend and its drivers during 1951–2014. (a) Mechanisms that have been suggested to contribute to South-Eastern South America summer wetting. (b) Time series of austral summer (December to February) precipitation anomalies (%, baseline 1995–2014) over the South-Eastern South American region (26.25°S–38.75°S, 56.25°W–66.25°W), black quadrilateral in the first map of panel (c). Black, brown and green lines show low-pass filtered time series for CRU TS), and the members with driest and wettest trends of the MPI-ESM single-model initial-condition large ensemble (SMILE; between 1951–2014), respectively. The filter is the same as the one used in Figure 10.10. (c) Mean austral summer precipitation spatial linear 1951–2014 trends (mm per month and decade) from CRU TS and GPCC. Trends are estimated using ordinary least squares regression. (d) Distribution of precipitation 1951–2014 trends over South-Eastern South America from GPCC and CRU TS (black crosses), CMIP6 all-forcing historical (red circles) and MIROC6, CSIRO-Mk3-6-0, MPI-ESM and d4PDF SMILEs (grey box-and-whisker plots). Grey squares refer to ensemble mean trends of their respective SMILE and the red circle refers to the CMIP6 multi-model mean. Box-and-whisker plots follow the methodology used in Figure 10.6. Further details on data sources and processing are available in the chapter data table (Table 10.SM.11). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- var_id: pr
- standard_name: precipitation_flux
- long_name: Precipitation
- units: kg m-2 month-1
- long_name: clim_season
- var_id: clim_season
- var_id: lat_bnds
- var_id: lon_bnds
- units: 1
- long_name: season_year
- var_id: season_year
- var_id: season_year_bnds
- var_id: time_bnds
- units: 1
- long_name: year
- var_id: year
- var_id: year_bnds
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: latitude coordinate
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: longitude coordinate
- standard_name: time
- var_id: time
- units: days
Temporal Range
1951-01-01T12:00:00
2014-12-31T12:00:00
Geographic Extent
-16.2500° |
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-76.2500° |
-46.2500° |
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-48.7500° |