678ee967fe114a34a6d1f7d50e4aa7ee English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 932c79b1f7cd4f34b7c542f316f39c17 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:25:03 UK GEMINI 2.3 WGS 84 Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.34 (v20220104) 2022-05-09T17:30:32 publication 2022-05-09T17:30:32 creation https://catalogue.ceda.ac.uk/uuid/678ee967fe114a34a6d1f7d50e4aa7ee 678ee967fe114a34a6d1f7d50e4aa7ee NERC EDS Centre for Environmental Data Analysis 10.5285/678ee967fe114a34a6d1f7d50e4aa7ee doi Data for Figure 3.34 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.34 shows attribution of observed seasonal trends in the annular modes to forcings.   --------------------------------------------------- How to cite this dataset --------------------------------------------------- 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. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has 3 panels, and all the data are provided in a single file named NAM_SAM_detection_attribution.nc. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains - Observed and simulated DJF NAM trends for 1958-2019 - Observed and simulated JJA NAM trends for 1958-2019 - Observed and simulated DJF SAM trends for 1979-2019 - Observed and simulated JJA SAM trends for 1979-2019 - Observed and simulated DJF SAM trends for 2000-2019 - Observed and simulated JJA SAM trends for 2000-2019 Simulations are from CMIP6 historical, hist-GHG, hist-aer, hist-nat, and hist-stratO3 simulations, and from equivalent time segments from CMIP6 piControl simulations (one segment from one model). NAM: Northern Annular Mode ​​​ SAM: Southern Annular Mode GHG: greenhouse gas JJA: June, July, August DJF: December, January, February --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel a: - NAM_obs_DJF_1958_2019: grey horizontal lines in the left -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - NAM_piControl_DJF_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left - NAM_hist_DJF_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left - NAM_GHG_DJF_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left - NAM_aer_DJF_1958_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left - NAM_stratO3_DJF_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left - NAM_nat_DJF_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left - NAM_obs_JJA_1958_2019: grey horizontal lines in the right -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - NAM_piControl_JJA_62yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right - NAM_hist_JJA_1958_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right - NAM_GHG_JJA_1958_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right - NAM_aer_JJA_1958_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right - NAM_stratO3_JJA_1958_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right - NAM_nat_JJA_1958_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right Panel b: - SAM_obs_DJF_1979_2019: grey horizontal lines in the left -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - SAM_piControl_DJF_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left - SAM_hist_DJF_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left - SAM_GHG_DJF_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left - SAM_aer_DJF_1979_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left - SAM_stratO3_DJF_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left - SAM_nat_DJF_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left - SAM_obs_JJA_1979_2019: grey horizontal lines in the right -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - SAM_piControl_JJA_41yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right - SAM_hist_JJA_1979_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right - SAM_GHG_JJA_1979_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right - SAM_aer_JJA_1979_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right - SAM_stratO3_JJA_1979_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right - SAM_nat_JJA_1979_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right Panel c: - SAM_obs_DJF_2000_2019: grey horizontal lines in the left -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - SAM_piControl_DJF_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the left - SAM_hist_DJF_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the left, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the left - SAM_GHG_DJF_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the left - SAM_aer_DJF_2000_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the left - SAM_stratO3_DJF_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the left - SAM_nat_DJF_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the left - SAM_obs_JJA_2000_2019: grey horizontal lines in the right -->ERA5: obs_dataset = 0\n -->JRA-55: obs_dataset = 1\n - SAM_piControl_JJA_20yrs: multimodel ensemble mean and percentiles for blue open box-whisker in the right - SAM_hist_JJA_2000_2019: multimodel ensemble mean and percentiles for red open box-whisker in the right, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots, in the right - SAM_GHG_JJA_2000_2019: multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots, in the right - SAM_aer_JJA_2000_2019:  multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots, in the right - SAM_stratO3_JJA_2000_2019: multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots, in the right - SAM_nat_JJA_2000_2019: multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots, in the right --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Multimodel ensemble means, interquartile ranges and 5th and 95th percentiles of historical and hist-* simulations are calculated after weighting individual members with the inverse of the ensemble size of the same model. The weight is given as the weight attribute of each variable. The weighting is not applied to piControl simulations. Filled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. ensemble_assign attribute in each variable provides the model number to which each ensemble member belongs. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic. --------------------------------------------------- Sources of additional information --------------------------------------------------- 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 supporting information on the figure in Section and details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo - Link to the figure on the IPCC AR6 website Phillips, Adam Unavailable author Unavailable author Kosaka, Yu Unavailable author Unavailable author Cassou, Christophe Unavailable author Unavailable author Bock, Lisa Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset IPCC-DDC IPCC AR6 WG1 WGI Sixth Assessment Report Working Group I Physical Science Basis Chapter 3 Human influence large-scale indicators Natural variability anthropogenically-forced change observed changes Figure 3.17 Global monsoon domain monsoon precipitation monsoon circulation global land monsoon precipitation Northern Hemisphere summer monsoon circulation index CMIP5 CMIP6 AMIP Figure 3.34 Annular Modes NAM SAM modes of variability CMIP6 DAMIP detection and attribution atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English climatologyMeteorologyAtmosphere -180.0 180.0 -90.0 90.0 1958-01-01T12:00:00 2019-12-31T12:00:00 txt, netCDF NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/678ee967fe114a34a6d1f7d50e4aa7ee CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/ar6_wg1/data/ch_03/ch3_fig34/v20220404 DOWNLOAD Download Data download https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter03.pdf ORIGIN OF FIGURE (IPCC REPORT CHAPTER): 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 No further details. information https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_03_Supplementary_Material.pdf SUPPLEMENTARY MATERIAL FOR REPORT CHAPTER: 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 Supplementary Material. 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 No further details. information https://doi.org/10.5281/zenodo.6656792 CODE FOR FIGURE (archived at Zenodo) No further details. information https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-34 Link to the figure No further details. information https://doi.org/10.5281/zenodo.14986385 Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure 3.34, Zenodo. https://doi.org/10.5281/zenodo.14986385 No further details. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).