Gridded model estimates of nitrate-N stored in the vadose (unsaturated) zone. This dataset presents annual gridded estimates of nitrate stored in the vadose zone for 1900 - 2000 on a 0.5 degree grid (units: kg N/grid cell). Data are supplied as a single netCDF for all years. This data was derived by Ascott et al. (2017). Global models of depth to groundwater table, subsurface porosity and groundwater recharge were used to derive estimates of nitrate travel time in the vadose zone. The travel time was combined with annual estimates of nitrate leaching from the base of the soil zone for 1900 - 2000 to estimate total nitrate stored in the vadose zone. For full details of the dataset derivation, please refer to Ascott et al. (2017). Ascott, M.J., Gooddy, D.C., Wang, L., Stuart, M.E., Lewis, M.A., Ward, R.S. and Binley, A.M. (2017) Global patterns of nitrate storage in the vadose zone. Nature Communications 8(1), 1416.

Data for Figure 3.17 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.17 shows observed and simulated global monsoon domain, intensity, and circulation.  --------------------------------------------------- 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 four panels, with data provided for all panels in a single file.   --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains - Observed and simulated global monsoon domain and summer minus winter precipitation and 850hPa wind velocity - Global land monsoon precipitation index and Northern Hemisphere summer monsoon circulation index. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- All data are given in global_monsoon.nc file. Panel a: - uRef & vRef: vector - prRef: shading - domainRef: domain (1 = monsoon, 0 = not monsoon) Panel b: - uMME & vMME: vector - prMME: shading - domainMME: monsoon domain (1 = monsoon, 0 = not monsoon) Panel c: - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip6: red curve and shading - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_cmip5: blue curve and shading - Multimodel ensemble mean and 5th-95th percentiles of GMprecip_amip: yellow curve and shading - GMprecip_CMAP: black dotted curve - GMprecip_CRU-TS: black solid curve - GMprecip_GPCC: black dashed-dotted curve - GMprecip_GPCP-SG: black dashed curve Panel d: - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip6: red curve and shading - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_cmip5: blue curve and shading - Multimodel ensemble mean and 5th-95th percentiles of NHMcirc_amip: yellow curve and shading - Max-min range of NHMcirc_20CRv3: grey hatching - NHMcirc_ERA-20C: black dash-dotted curve - NHMcirc_ERA5: black solid curve - NHMcirc_JRA-55: dashed curve - NHMcirc_MERRA2: dotted curve --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Multimodel ensemble means and percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, which is given as the weight attribute of each variable. --------------------------------------------------- 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.

Data for Figure 3.32 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.32 shows relative change in the amplitude of the seasonal cycle of global land carbon uptake in the historical CMIP6 simulations from 1961-2014.  --------------------------------------------------- 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. --------------------------------------------------- List of data provided --------------------------------------------------- - Observed seasonal cycle amplitude of global land carbon uptake - Simulated seasonal cycle amplitude of global land carbon uptake --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- fig_3_32_main.nc: - Multi-Model Mean: dim0 = 0, red solid line. [red shaded region: (dim0=0) +- (dim0=1))] - JMA-TRANSCOM: dim0 = 2, black dotted line. - CO2-MLO: dim0 = 3, black solid line. [black shaded region: (dim0=3) +- (dim0=4))] - CO2-GLOBAL: dim0 = 5, black dashed line. fig_3_32_inset.nc: - Multi-Model Mean for 1961-1970 (orange): dim0 = 0 (shaded region(dim0=0) +- (dim0=1)) - Multi-Model Mean for 2005-2014 (green): dim0 = 2 (shaded region(dim0=2) +- (dim0=3)) --------------------------------------------------- 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 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.

Monthly surface ozone concentration and ozone dry deposition flux fields from observations in Europe and North America and from CASTNET data saved in NetCDF format.

Data for Figure 3.3 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.3 shows the global annual-mean surface (2 m) air temperature (°C) and the model bias to ERA5. --------------------------------------------------- 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 six panels, with data provided for four panels in subdirectories named panel_a, panel_b, panel_c and panel_d. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Global modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5 - Global root mean square bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP6 for the period 1995–2014 to reanalysis ERA5 - Global bias of modelled annual-mean surface (2 m) air temperature (°C) of CMIP5 for the period 1985–2004 to reanalysis ERA5 CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. ERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- - panel_a/tas_mean_cmip6.nc; global map - panel_b/tas_bias_cmip6.nc; global map - panel_c/tas_rms_bias_cmip6.nc; global map - panel_d/tas_bias_cmip5.nc; global map --------------------------------------------------- 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 details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo.

Model grid cell areas and land cover data for the Olson and Global Land Cover Facility. Data are regridded to a consistent 3 x 3 degree resolution and saved in NetCDF format. The Olson land cover dataset was developed from Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) composites covering 1992-1993. The Global Land Cover Facility dataset was developed from monthly satellite sensor data of NDVI values for 1987.

Data for Figure 3.31 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.31 shows evaluation of historical emission-driven CMIP6 simulations for 1850-2014. --------------------------------------------------- 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 four panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c and panel_d. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Observed and simulated change in global mean atmospheric CO2 concentration (1850-2014) - Observed and simulated air surface temperature anomaly (1850-2014) - Observed and simulated change in land carbon uptake (1850-2014) - Observed and simulated change in ocean carbon uptake (1850-2014) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- panel_a/fig_3_31_panel_a.nc: - dim0 = 0: 'ACCESS-ESM1-5 ', (turquoise solid line), Australian Community Climate and Earth System Simulator - Earth System Model - dim0 = 1: 'CNRM-ESM2-1', (light green solid line), National Centre for Meteorological Research - dim0 = 2: 'CanESM5-CanOE ', (orange solid line), Canadian Earth System Model - Canadian Ocean Ecosystem model - dim0 = 3: 'CanESM5', (dark green solid line). - dim0 = 4: 'MIROC-ES2L', (light purple solid line), Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and Centre for Climate System Research / National Institute for Environmental Studies, Japan. - dim0 = 5: 'MPI-ESM1-2-LR ', (teal solid line), Max Planck Institute Earth System Model - dim0 = 6: 'MRI-ESM2-0', (lime solid line), Meteorological Research Institute of the Japan Meteorological Agency - dim0 = 7: 'NorESM2-LM', (pink solid line), The Norwegian Earth System Model - dim0 = 8: 'UKESM1-0-LL', (dark purple solid line), UK Earth System Model - dim0 = 9: 'MultiModelMean', (red solid line). - dim0 = 10: 'ESRL' (OBS), (black solid line). panel_b/fig_3_31_panel_b.nc - dim0_0 = 0: 'ACCESS-ESM1-5', - dim0_0 = 1: 'ACCESS-ESM1-5_historical'. - dim0_0 = 2: 'CNRM-ESM2-1'. - dim0_0 = 3: 'CNRM-ESM2-1_historical'. - dim0_0 = 4: 'CanESM5-CanOE '. - dim0_0 = 5: 'CanESM5-CanOE_historical'. - dim0_0 = 6: 'CanESM5'. - dim0_0 = 7: 'CanESM5_historical'. - dim0_0 = 8: 'MIROC-ES2L'. - dim0_0 = 9: 'MIROC-ES2L_historical'. - dim0_0 = 10: 'MPI-ESM1-2-LR '. - dim0_0 = 11: 'MPI-ESM1-2-LR_historical '. - dim0_0 = 12: 'MRI-ESM2-0'. - dim0_0 = 13: 'MRI-ESM2-0_historical'. - dim0_0 = 14: 'NorESM2-LM'. - dim0_0 = 15: 'NorESM2-LM_historical'. - dim0_0 = 16: 'UKESM1-0-LL'. - dim0_0 = 17: 'UKESM1-0-LL_historical'. - dim0_0 = 18: 'HadCRUT5' (OBS), Met Office Hadley Centre panel_c/fig_3_31_panel_c.nc - dim0 = 0: 'ACCESS-ESM1-5 '. - dim0 = 1: 'CNRM-ESM2-1'. - dim0 = 2: 'CanESM5-CanOE '. - dim0 = 3: 'CanESM5'. - dim0 = 4: 'MIROC-ES2L'. - dim0 = 5: 'MPI-ESM1-2-LR '. - dim0 = 6: 'MRI-ESM2-0'. - dim0 = 7: 'NorESM2-LM'. - dim0 = 8: 'UKESM1-0-LL'. - dim0 = 9: 'MultiModelMean'. - dim0 = 10: 'GCP' (OBS), Global Carbon Project (GCP) panel_d/fig_3_31_panel_d.nc - dim0 = 0: 'ACCESS-ESM1-5 '. - dim0 = 1: 'CNRM-ESM2-1'. - dim0 = 2: 'CanESM5-CanOE '. - dim0 = 3: 'CanESM5'. - dim0 = 4: 'MIROC-ES2L'. - dim0 = 5: 'MPI-ESM1-2-LR '. - dim0 = 6: 'MRI-ESM2-0'. - dim0 = 7: 'NorESM2-LM'. - dim0 = 8: 'UKESM1-0-LL'. - dim0 = 9: 'MultiModelMean'. - dim0 = 10: 'GCP' (OBS). Labels and colors for all figures are the same as for panel a. Historical values in panel b are plotted with the same colors as the corresponding simulation, but using dotted lines. --------------------------------------------------- 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 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

Data for Figure 3.4 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.4 shows observed and simulated time series of the anomalies in annual and global mean near-surface air temperature (GSAT).  --------------------------------------------------- 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 two panels, with data provided for all panels in subdirectories named panel_a and panel_b. --------------------------------------------------- List of data provided --------------------------------------------------- Observed and simulated global near-surface air temperature change (1850-2014) with uncertainty range for simulated time series. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- panel_a/fig_3_4_panel_a.nc - black line: model = 60 - red line: model = 59 - colored lines: model = 0, 1, ..., 58 panel_b/tsline_collect_tasa.nc: - red line: experiment = 0, stat = 0 - blue line: experiment = 1, stat = 0 - red shaded region: experiment = 0, stat = 1 and stat = 2 - blue shaded region: experiment = 1, stat = 1 and stat = 2 panel_b/tsline_collect_tasa_ref.nc - HadCRUT5: dataset = 0 - BerkleyEarth: dataset = 1 - NOAAGlobalTemp-Interim: dataset = 2 - Kadow: dataset =3 Where HadCRUT5, BerkleyEarth, NOAAGlobalTemp-Interim, and Kadow are gridded datasets of global historical surface temperature. --------------------------------------------------- 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 details on the input data used in Table 3.SM.1

Data for Figure 3.33 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.33 shows observed and simulated Northern Annular Mode (NAM), North Atlantic Oscillation (NAO) and Southern Annular Mode (SAM) in boreal winter. --------------------------------------------------- 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 twelve panels, with data provided for panels (a), (d), (g) and (j) in the subdirectory named panel_adgj, panels (b), (e), (h) and (k) in the subdirectory named panel_behk, and panels (c), (f), (i) and (l) in the subdirectory named panel_cfil.   --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains:  - Observed sea level pressure anomalies associated with NAM. - Observed sea level pressure anomalies associated with NAO. - Observed sea level pressure anomalies associated with SAM. - Simulated sea level pressure anomalies associated with NAM. - Simulated sea level pressure anomalies associated with NAO. - Simulated sea level pressure anomalies associated with SAM. - Taylor statistics of sea level pressure anomalies associated with NAM. - Taylor statistics of sea level pressure anomalies associated with NAO. - Taylor statistics of sea level pressure anomalies associated with SAM. - 1958-2014 trends of the NAM index. - 1958-2014 trends of the NAO index. - 1979-2014 trends of the SAM index. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel a: - nam_patterns(0, :, :) in panel_adgj/nam.obs.nc; shading - nam_pattern_significance in panel_adgj/nam.obs.nc; cross marker Panel b: - nao_patterns(0, :, :) in panel_behk/nao.obs.nc; shading - nao_pattern_significance in panel_behk/nao.obs.nc; cross marker Panel c: - sam_patterns(0, :, :) in panel_cfil/sam.obs.nc; shading - sam_pattern_significance in panel_cfil/sam.obs.nc; cross marker Panel d: - nam_patterns in panel_adgj/nam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching Panel e: - nao_patterns in panel_behk/nao.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching Panel f: - sam_patterns in panel_cfil/sam.hist.cmip6.nc; multimodel ensemble mean for shading, and sign agreement for hatching Panel g: - nam_tay_stat(:, 0:1) in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for the orange dot - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot - nam_tay_stat(:, 0:1) in panel_adgj/nam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot - nam_tay_stat(:, 0:1) in panel_adgj/nam.obs.nc: black dots Panel h: - nao_tay_stat(:, 0:1) in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for the orange dot - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot - nao_tay_stat(:, 0:1) in panel_behk/nao.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot - nao_tay_stat(:, 0:1) in panel_behk/nao.obs.nc: black dots Panel i: - sam_tay_stat(:, 0:1) in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for the orange dot - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip5.nc: blue crosses, with multimodel ensemble mean for the blue dot - sam_tay_stat(:, 0:1) in panel_cfil/sam.hist.cmip6.nc: red crosses, with multimodel ensemble mean for the red dot - sam_tay_stat(:, 0:1) in panel_cfil/sam.obs.nc: black dots Panel j: - nam_pc_trends in panel_adgj/nam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line - nam_pc_trends in panel_adgj/nam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line - nam_pc_trends in panel_adgj/nam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line - nam_pc_trends in panel_adgj/nam.obs.nc: black vertical lines Panel k: - nao_pc_trends in panel_behk/nao.amip.cmip6.nc: multimodel ensemble mean for orange vertical line - nao_pc_trends in panel_behk/nao.hist.cmip5.nc: multimodel ensemble mean for blue vertical line - nao_pc_trends in panel_behk/nao.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line - nao_pc_trends in panel_behk/nao.obs.nc: black vertical lines Panel l: - sam_pc_trends in panel_cfil/sam.amip.cmip6.nc: multimodel ensemble mean for orange vertical line - sam_pc_trends in panel_cfil/sam.hist.cmip5.nc: multimodel ensemble mean for blue vertical line - sam_pc_trends in panel_cfil/sam.hist.cmip6.nc: histogram, with multimodel ensemble mean for red vertical line - sam_pc_trends in panel_cfil/sam.obs.nc: black vertical lines --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Multimodel ensemble means and histograms are obtained after weighting individual members with the inverse of the ensemble size of the same model. ensemble_assign in each file provides the model number to which each ensemble member belongs. This weighting does not apply to the sign agreement calculation. Multimodel ensemble mean of the pattern correlation in Taylor statistics is calculated via Fisher z-transformation and back transformation. --------------------------------------------------- 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

[THIS DATASET HAS BEEN WITHDRAWN]. 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. NOTE: the difference between this dataset with the previously published dataset 'Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]" (Tanguy et al., 2015 [2]), apart from the temporal and spatial extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Keller et al., 2015 [3], Tanguy et al., 2014 [4]) was used, whereas in this version, Met Office 5km rainfall grids were used (see supporting information for more details). The methodology to calculate SPI is the same in the two datasets. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Tanguy, M.; Hannaford, J.; Barker, L.; Svensson, C.; Kral, F.; Fry, M. (2015). Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]. NERC Environmental Information Data Centre. https://doi.org/10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0 [3] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use, Earth Syst. Sci. Data Discuss., 8, 83-112, doi:10.5194/essdd-8-83-2015. [4] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e Full details about this dataset can be found at https://doi.org/10.5285/ed7444fc-8c2a-473e-98cd-e68d3cffa2b0