Data for Figure 3.38 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 3.38 shows model evaluation of ENSO teleconnection for 2m-temperature and precipitation in boreal winter (December-January-February).

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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:

Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. 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. 423–552, doi:10.1017/9781009157896.005.

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Figure subpanels

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Data provided for all panels in one single directory

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List of data provided

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This dataset contains observed global patterns for:

- temperature from the Berkeley Earth dataset over land

- temperature from ERSSTv5 over ocean

- precipitation from GPCC over land (shading, mm day–1)

- precipitation from GPCP worldwide (contours, period: 1979-2014)

and distributions of regression coefficients in IPCC regions for:

- temperature

- precipitation

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Data provided in relation to figure

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maps:

- reg_tas_NINO34_BEST_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over land)

- reg_sst_NINO34_ERSSTv5_ERSSTv5_1901_2018_DJF.nc (var = 'rc', upper map over ocean)

- reg_precip_NINO34_GPCP_ERSST5_1979_2018_DJF.nc (var = 'rc', lower map, contours)

- reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc (var = 'rc', lower map, shading)

histograms:

- tas_enso_regression_pdf_v4_no_cosweight_DJF.nc

. upper grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'

. MME (black line): var = 'region_ave_hist'

. Observations (blue lines): var = 'region_obs'

- tas_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dashed line): var = 'region_ave_amip_hist'

=> Fields correspond to regions numbers with labels in the plot, namely for temperature: 'EAU/RFE/RAR/NWN/NCA/ENA/NSA/MED/NWS/ESAF' (see variable region_info with attributes making the association between the region index and the acronym/name).

- pr_enso_regression_pdf_v4_no_cosweight_DJF.nc

. lower grey histograms: var = 'region_pdfx_hist' and 'region_pdfy_hist'

. MME (black line): var = 'region_ave_hist'

. Observations (blue lines): var = 'region_obs'

- pr_amip_hist_enso_regression_pdf_v4_no_cosweight_DJF.nc (orange dahsed line): var = 'region_ave_amip_hist'

=> Fields correspond to regions numbers with labels in the plot, namely for precipitation: 'EAS/SEA/EAU/WNA/NCA/SES/NSA/ESAF/SEAF/MED' (see variable info_region with attributes making the association between the region index and the acronym/name).

ENSO is the El Niño Southern Oscillation.

GPCC is the Global Precipitation Climatology Centre.

GPCP is the Global Precipitation Climatology Project.

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Notes on reproducing the figure from the provided data

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Data provided in reg_pr_NINO34_GPCC_ERSSTv5_1901_2016_DJF.nc are in mm/month. Values should be divided by 30 for plotting in mm/day.

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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 report component containing the figure (Chapter 3)

- Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1