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Dataset

 

Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.18 (v20220622)

Update Frequency: Not Planned
Latest Data Update: 2022-06-22
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-07-12
DOI Publication Date: 2023-05-17
Download Stats: last 12 months
Dataset Size: 11 Files | 89KB

Abstract

Data for Figure 10.18 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 10.18 shows historical and projected rainfall and Southern Annular Mode (SAM) over the Cape Town region.

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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 all subpanels is provided.

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List of data provided
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The data is for the Cape Town region:

- Observed yearly accumulation of rainfall, 1933-2014 mean, 2015, 2016, 2017
- Observed annual precipitation cycle, 1933-2014 mean, 2015-2017 mean, 2015, 2016, 2017
- Rainfall anomalies 1930-2100 with respect to 1980–2010 means
- SAM index (calculated from sea-level pressure) 1930-2100
- Precipitation trends 1933-2017, 1979-2017 and 2018-2100
- SAM index trends 1933-2017, 1979-2017 and 2018-2100

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Data provided in relation to figure
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Panel (a):
Station data of yearly accumulation of rainfall over the Cape Town region, 1933-2014 (grey lines), 2015 (orange line), 2016 (red line), 2017 (purple line):
- Data file: 
Fig_10_18_panel-a.csv

Panel (b):
Station data of annual precipitation cycle over the Cape Town region, 1933-2014 mean (black line), 2015-2017 mean (grey line), 2015 (orange bars), 2016 (red bars), 2017 (purple bars):
- Data file:
Fig_10_18_panel-b.csv

Panel (c):
SAM index (top part) and rainfall (bottom part) anomalies over the Cape Town region between 1930 and 2100 of observed and reanalysis data (SAM: station based (black line), NCEP/NCAR (light blue line), ERA20C (dark red line) and 20CR (yellow line); rainfall: station based (black line), GPCC (green line) and CRU TS (olive line)) and model data (SAM and rainfall: CMIP5 (blue shading), CMIP6 (red shading), MIROC6 (orange shading); Rainfall: CORDEX (cyan shading), 6 CCAM (purple shading)):
- Data files: 
Fig_10_18_panel-c_timeseries_precipitation.csv,
Fig_10_18_panel-c_timeseries_SAM_index.csv

Panel (d):
SAM index (top part) and rainfall (bottom part) Theil-Sen trends between 1933-2017, 1979-2017 and 2018-2100 over the Cape Town region (31°S‒35°S, 18°W‒20.5°W) of observed and reanalysis data (SAM: station based (black), NCEP/NCAR (light blue), ERA20C (dark red) and 20CR (yellow); rainfall: station based (black), GPCC (green) and CRU TS (olive)) and model data (CMIP5 (blue), CMIP6 (red), MIROC6 (orange)):
- Data files: 
Fig_10_18_panel-d_trends_precipitation_1933-2017.csv,
Fig_10_18_panel-d_trends_precipitation_2018-2100.csv,
Fig_10_18_panel-d_trends_SAM_index_1979-2017.csv,
Fig_10_18_panel-d_trends_precipitation_1979-2017.csv,
Fig_10_18_panel-d_trends_SAM_index_1933-2017.csv,
Fig_10_18_panel-d_trends_SAM_index_2018-2100.csv

Acronyms:
CMIP - Coupled Model Intercomparison Project,
NCEP - National Centers for Environmental Prediction,
NCAR - National Center for Atmospheric Research,
CRU TS - Climatic Research Unit (CRU) Time-series (TS),
CORDEX - Coordinated Regional Climate Downscaling Experiment,
CCAM - Conformal Cubic Atmospheric Model,
MIROC6 - Model for Interdisciplinary Research on Climate,
GPCC- Global Precipitation Climatology Centre,
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.

Citable as:  Piotr, W.; Jury, M.; Gutowski, W. (2023): Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.18 (v20220622). NERC EDS Centre for Environmental Data Analysis, 17 May 2023. doi:10.5285/567ca2ab6d6043479a1eaec678bfe91a. https://dx.doi.org/10.5285/567ca2ab6d6043479a1eaec678bfe91a
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group I, Physical Science Basis, Chapter 10, teleconnections, drivers, feedbacks, Linking global to regional, Regional scale, internal variability, forced change, model improvements, Figure 10.18, Southern Annular Mode (SAM), precipitation trends, Cape Town region, historical and future period, climate projection, drought

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).

Data Quality:
Data as provided by the IPCC
File Format:
csv

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for Figure 10.18 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)

Abstract

Historical and projected rainfall and Southern Annular Mode (SAM) over the Cape Town region. (a) Yearly accumulation of rainfall (in mm) obtained by summing monthly totals between January and December, with the drought years 2015 (orange), 2016 (red), and 2017 (purple) highlighted in colour. (b) Monthly rainfall for the drought years (in colour) compared with the 1981‒2014 climatology (grey line). Rainfall in (a) and (b) is the average of 20 quality controlled and gap-filled series from stations within the Cape Town region (31ºS‒35ºS, 18ºW‒20.5ºW). (c) Time series of the SAM index and of historical and projected rainfall anomalies (%, baseline 1980–2010) over the Cape Town region. Observed data presented as 30-year running means of relative total annual rainfall over the Cape Town region for station-based data (black line, average of 20 stations as in (a) and (b), and gridded data (average of all gridcells falling within 31ºS‒35ºS, 18ºW‒20.5ºW), GPCC (green line) and CRU TS (olive line). Model ensemble results presented as the 90th-percentile range of relative 30-year running means of rainfall and the SAM index from 35 CMIP5 (blue shading) and 35 CMIP6 (red shading) simulations, 6 CORDEX simulations driven by 1 to 10 GCMs (cyan shading), 6 CCAM (purple shading) simulations from individual ensemble members, and 50 members from the MIROC6 SMILE simulations (orange shading). The light blue, dark red and yellow lines correspond to NCEP/NCAR, ERA20C and 20CR, respectively. The SAM index is calculated from sea level pressure reanalysis and GCM data as per Gong and Wang (1999) and averaged over the aforementioned bounding box. CMIP5, CORDEX and CCAM projections use RCP8.5, and CMIP6 and MIROC6 SMILE projections use SSP5-8.5. (d) Historical and projected trends in rainfall over the Cape Town region and in the SAM index. Observations and gridded data processed as in (c). Trends calculated as Theil-Sen trend with block-bootstrap confidence interval estimate. Markers show median trend, bars 95% confidence interval. Global models in each CMIP group were ordered according to the magnitude of trend in rainfall, and the same order is maintained in panels showing trends in the SAM. 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: 2
  • units: mm / year
  • long_name: CMIP5 - Precipitation mean trend
  • var_id: 4
  • units: mm / year
  • long_name: CMIP5 - Precipitation p05 trend
  • var_id: 3
  • units: mm / year
  • long_name: CMIP5 - Precipitation p95 trend
  • units: 1 / year
  • var_id: 14
  • long_name: CMIP5 - SAM index mean trend
  • units: 1 / year
  • var_id: 16
  • long_name: CMIP5 - SAM index p05 trend
  • units: 1 / year
  • var_id: 15
  • long_name: CMIP5 - SAM index p95 trend
  • var_id: 5
  • units: mm / year
  • long_name: CMIP6 - Precipitation mean trend
  • var_id: 7
  • units: mm / year
  • long_name: CMIP6 - Precipitation p05 trend
  • var_id: 6
  • units: mm / year
  • long_name: CMIP6 - Precipitation p95 trend
  • units: 1 / year
  • var_id: 17
  • long_name: CMIP6 - SAM index mean trend
  • units: 1 / year
  • var_id: 19
  • long_name: CMIP6 - SAM index p05 trend
  • units: 1 / year
  • var_id: 18
  • long_name: CMIP6 - SAM index p95 trend
  • var_id: 9
  • long_name: CRU - Precipitation 4.03 trend
  • units: mm / year
  • var_id: 8
  • units: 1 / year
  • long_name: ERA20C - SAM index mean trend
  • var_id: 10
  • long_name: ERA20C - SAM index p05 trend
  • units: 1 / year
  • var_id: 9
  • units: 1 / year
  • long_name: ERA20C - SAM index p95 trend
  • var_id: 5
  • units: mm / year
  • long_name: GPCCV2018 - Precipitation mean trend
  • var_id: 7
  • units: mm / year
  • long_name: GPCCV2018 - Precipitation p05 trend
  • var_id: 6
  • units: mm / year
  • long_name: GPCCV2018 - Precipitation p95 trend
  • var_id: 8
  • units: mm / year
  • long_name: MIROC6 - Precipitation mean trend
  • units: mm / year
  • var_id: 19
  • long_name: MIROC6 - Precipitation p05 trend
  • var_id: 9
  • units: mm / year
  • long_name: MIROC6 - Precipitation p95 trend
  • units: 1 / year
  • var_id: 20
  • long_name: MIROC6 - SAM index mean trend
  • units: 1 / year
  • var_id: 22
  • long_name: MIROC6 - SAM index p05 trend
  • units: 1 / year
  • var_id: 21
  • long_name: MIROC6 - SAM index p95 trend
  • var_id: 11
  • units: 1 / year
  • long_name: NCEP - SAM index mean trend
  • units: 1 / year
  • var_id: 13
  • long_name: NCEP - SAM index p05 trend
  • var_id: 12
  • units: 1 / year
  • long_name: NCEP - SAM index p95 trend
  • var_id: 5
  • units: 1 / year
  • long_name: NOAA - SAM index mean trend
  • var_id: 7
  • units: 1 / year
  • long_name: NOAA - SAM index p05 trend
  • var_id: 6
  • units: 1 / year
  • long_name: NOAA - SAM index p95 trend
  • var_id: 1
  • long_name: ensemble member
  • units: ensemble member
  • var_id: 2
  • units: mm / year
  • long_name: stations - Precipitation mean trend
  • var_id: 4
  • units: mm / year
  • long_name: stations - Precipitation p05 trend
  • var_id: 3
  • units: mm / year
  • long_name: stations - Precipitation p95 trend
  • var_id: 2
  • units: 1 / year
  • long_name: stations - SAM index mean trend
  • var_id: 4
  • units: 1 / year
  • long_name: stations - SAM index p05 trend
  • var_id: 3
  • units: 1 / year
  • long_name: stations - SAM index p95 trend

Co-ordinate Variables

Coverage
Temporal Range
Start time:
1930-01-01T12:00:00
End time:
2100-12-31T12:00:00
Geographic Extent

 
-31.0000°
 
18.0000°
 
20.5000°
 
-35.0000°
 
Related parties
Principal Investigators (1)