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  • This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.0 of the product, which has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. This product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas. This data has been derived using a statistical method to estimate air temperatures at all places and times. It takes into account uncertainty in the input data sets covering errors in the in situ measurements, land station homogenisation and errors in the air temperatures estimated from satellite data . Although the statistical model estimates temperatures at all locations, the product is not globally complete, as areas with too few data to provide a reliable air temperature estimate have been masked out.

  • This is the HadCRUT.4.4.0.0 version of the HadCRUT4 data. Data are available for each month since January 1850, on a 5 degree grid. The gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. The ensemble median is provided and is provided as r0. Error covariance information are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. References: When using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the "citable as" reference) : Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187

  • This dataset consists of gloabl surface air temperature estimates derived from satellite surface skin temperature measurements, with uncertainties provided. It has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. The global surface air temperatures are provided separately for areas over land, sea and ice. These surface air temperatures have been derived from satellite skin temperatures using relationships between air and skin temperatures for each surface derived as part of the EUSTACE project. The air temperatures and uncertainty information are presented in a consistent format.

  • This is the HadCRUT.4.5.0.0 version of the HadCRUT4 data. Data are available for each month since January 1850, on a 5 degree grid. The gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. The data consist of 100 ensemble members and the ensemble median, each are available as a separate file where the fourth component of the filename denotes the ensemble member or median. In addition, the variance information is provided under the name uncorrelated. Full error covariance data are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. References: When using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the "citable as" reference) : Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187

  • Data for Figure 10.21 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 10.21 shows projected Mediterranean summer warming. --------------------------------------------------- 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: 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. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has 4 subpanels. Data for all subpanels is provided. --------------------------------------------------- List of data provided --------------------------------------------------- The data is annual summer (JJA) surface air temperature means for: - Modelled anomalies 2015-2100 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) - Modelled change until 2081‒2100 with respect to 1995-2014 averages over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N) - Trends 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) - Modelled trends over 2015-2050 - Modelled Mediterranean summer vs global warming --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel (a): - Data files: Fig_10_21_panel-a_timeseries.csv, Fig_10_21_panel-a_boxplot.csv; modelled JJA surface air temperature anomalies 2015-2100 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N, CMIP5 (blue), CMIP6 (dark red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green)) and change until 2081‒2100 in respect to 1995-2014 averages (SSP1-2.6 dark blue, SSP2-4.5 yellow, SSP3-7.0 red, SSP5-8.5 dark red) Panel (b): - Data file: Fig_10_21_panel-b_trends.csv; modelled JJA OLS linear trends in surface air temperature 2015-2050 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) CMIP5 (blue circles), CMIP6 (dark red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM (grey shading) Panel (c): - Data files: Fig_10_21_panel-c_mapplot_tas_cmip5_mean_trend_future_tas_cmip5_maps_trend_MultiModelMean_trend.nc, Fig_10_21_panel-c_mapplot_tas_cmip6_mean_trend_future_tas_cmip6_maps_trend_MultiModelMean_trend.nc, Fig_10_21_panel-c_mapplot_tas_cordex_11_mean_trend_future_tas_cordex_11_maps_trend_native_MultiModelMean_trend.nc, Fig_10_21_panel-c_mapplot_tas_cordex_44_mean_trend_future_tas_cordex_44_maps_trend_native_MultiModelMean_trend.nc, Fig_10_21_panel-c_mapplot_tas_hrmip_mean_trend_future_tas_hrmip_maps_trend_05_MultiModelMean_trend.nc; modelled OLS linear surface air temperature trends over 2015-2050 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means Panel (d): - Data file: Fig_10_21_panel-d_GWLRWL.csv; modelled Mediterranean summer (JJA) vs global warming under CMIP5 (RCP2.6 dark blue dashed line, RCP4.5 light blue dashed line, RCP6.0 orange dashed line and RCP8.5 red dashed line) and CMIP6 (SSP1-2.6 dark blue line, SSP2-4.5 yellow line, SSP3-7.0 red line, SSP5-8.5 dark red line) scenarios. Acronyms: CMIP - Coupled Model Intercomparison Project, Cordex – Coordinated Regional Climate Downscaling Experiment, HighResMIP - High Resolution Model Intercomparison Project, SSP- Shared Socioeconomic Pathways, 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, RCP - Representative Concentration Pathway, OLS - ordinary least squares regression. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The code for ESMValTool is provided. --------------------------------------------------- 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 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.

  • Data for CCB 10.4 Figure 1 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). CCB10.4 Figure 1 shows historical annual-mean surface air temperature linear trend (°C per decade) and its attribution over the Hindu Kush Himalaya (HKH) region. --------------------------------------------------- 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: 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. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has four subpanels. Data for all subpanels is provided. --------------------------------------------------- List of data provided --------------------------------------------------- The data is annual means for: - Observed and modelled trends over 1961-2014 - Anomalies 1961-2014 with respect to 1961-1980 average for the HKH region mean - Trends 1961-2014 for the HKH region mean --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel (a): - Data files: Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_BerkeleyEarth_single_trend.nc, Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_CRU_single_trend.nc, Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_APHRO-MA_single_trend.nc, Fig_10_CCB-4_1_panel-a_mapplot_tas_trend_JRA-55_single_trend.nc; observed and reanalysis surface air temperature OLS linear trends over 1961-2014 over the HKH region, from left to right Berkeley Earth, CRU TS, APHRO-MA, JRA-55 Panel (b): - Data files: Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_min_single-MultiModelMean_trend-min-median-max.nc, Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_MultiModelMedian_single-MultiModelMean_trend-min-median-max.nc, Fig_10_CCB-4_1_panel-b_mapplot_tas_trend_cmip6_CMIP6_max_single-MultiModelMean_trend-min-median-max.nc; modelled surface air temperature OLS linear trends over 1961-2014 over the Hindu Kush Himalaya region, from left to right (CMIP6 models with min (coldest), median and max (warmest) trends) Panel (c): - Data file: Fig_10_CCB-4_1_panel-c_timeseries.csv; surface air temperature anomalies 1961-2014 in respect to 1961-1980 average for the Hindu Kush Himalaya (HKH) region mean: means of CMIP6 hist all-forcings (red), and the CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink), for hist-aer (grey) and hist-GHG (pale blue), Berkeley Earth (dark blue), CRU TS (brown), APHRO-MA (light green) and JRA-55 (dark green). Panel (d): - Data file: Fig_10_CCB-4_1_panel-d_trends.csv; surface air temperature OLS linear trends 1961-2014 for the Hindu Kush Himalaya (HKH) region mean: observed and reanalysis data (Berkeley Earth, CRU TS, APHRO-MA, JRA-55: black crosses), individual members of CMIP6 hist all-forcings (red circles), CMIP6 hist all-forcings sample corresponding to DAMIP experiments (pink circles), CMIP6 hist-GHG (blue triangles), CMIP6 hist-aer (grey triangles), and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading) Acronyms: CRU TS- Climatic Research Unit Time Series, CMIP - Coupled Model Intercomparison Project, JRA - Japanese 55year Reanalysis, DAMIP - Detection and Attribution Model Intercomparison Project, GHG - Greenhouse Gas, 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 changes, OLS - ordinary least squares regression. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The code for ESMValTool is provided. --------------------------------------------------- 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 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.

  • Data for Figure 10.6 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 10.6 is an illustration of some model biases in simulations performed with dynamical models. --------------------------------------------------- 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: 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. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has two panels ((a) and (b)), which are further divided into 6 maps and 1 boxplot. Data is provided for all subpanels. --------------------------------------------------- List of data provided --------------------------------------------------- Boxplot data point is annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for western Mediterranean mean (lon: 10°W-10°E, lat: 33°N-45°N) between 1986 and 2005 for: - Observational datasets - Each model of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44 Mapplot data is mean (1986-2005) annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for the western Mediterranean (lon: 15°W-15°E, lat: 28°N-50°N) regrided on a 1°x1° regular grid for: - Absolute values for reference observational dataset (BerkeleyEarth (a), CRU TS (b)) - Ensemble biases of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel (a): - Data file: Fig_10_6_panel-a_mapplot_tas_obs_single_single_mean.nc; observed (Berkeley Earth) mean (1986-2005) annual summer mean (JJA) surface air temperature over the western Mediterranean (top left). - Data files: Fig_10_6_panel-a_mapplot_tas_bias_cmip5_tas_cmip5_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cmip6_tas_cmip6_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_hrmip_tas_hrmip_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cdx44_tas_cdx44_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cdx11_tas_cdx11_map_MultiModelMean_bias.nc; ensemble mean (1986-2005) annual summer mean (JJA) surface air temperature bias over the western Mediterranean (top right). - Data file: Fig_10_6_panel-a_boxplot.csv; observed (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) surface air temperature values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part). Panel (b): - Data file: Fig_10_6_panel-b_mapplot_pr_obs_single_masked_cru_single_mean.nc; observed (CRU TS) mean (1986-2005) annual summer mean (JJA) precipitation rate over the western Mediterranean (top left) - Data files: Fig_10_6_panel-b_mapplot_pr_bias_cmip5_pr_cmip5_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cmip6_pr_cmip6_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_hrmip_pr_hrmip_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cdx44_pr_cdx44_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cdx11_pr_cdx11_map_MultiModelMean_bias.nc; ensemble mean (1986-2005) annual summer mean (JJA) precipitation rate bias over the western Mediterranean (top right). - Data file: Fig_10_6_panel-b_boxplot.csv; observed (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) precipitation rate values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part). Acronyms: CMIP - Coupled Model Intercomparison Project, HighResMIP - High Resolution Model Intercomparison Project, Cordex – Coordinated Regional Climate Downscaling Experiment, OLS - ordinary least squares regression. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The code for ESMValTool is provided. --------------------------------------------------- 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 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.

  • Data for Figure 10.20 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 10.20 shows aspects of Mediterranean summer warming. --------------------------------------------------- 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: 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. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has 7 subpanels. Data for subpanels d, e, f and g is provided. --------------------------------------------------- List of data provided --------------------------------------------------- The data is annual summer (JJA) means for: - Observed trends over 1960-2014 - Anomalies 1960-2014 with respect to 1995-2014 average for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) - Trends 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) - Modelled trend differences to the observed over 1960-2014 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel (d): - Data file: Fig_10_20_panel-d_mapplot_tas_obs_trend_single_single_trend.nc; JJA Berkeley Earth surface air temperature OLS linear trends over 1960-2014 over the Mediterranean (lon: 10°W-40°E, lat: 25°N-50°N) Panel (e): - Data file: Fig_10_20_panel-e_timeseries.csv; Observed and modelled JJA surface air temperature anomalies 1960-2014 (baseline 1995-2014) for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N): CMIP5 (blue), CMIP6 (red), HighResMIP (orange), CORDEX EUR-44 (light blue), CORDEX EUR-11 (green), Berkeley Earth (dark blue), CRU TS (brown), HadCRUT5 (cyan) Panel (f): - Data file: Fig_10_20_panel-f_trends.csv; JJA OLS linear trends in surface air temperature 1960-2014 for the Mediterranean mean (lon: 10°W-40°E, lat: 25°N-50°N) of observations (Berkeley Earth, CRU TS, HadCRUT5: black crosses) and models (CMIP5 (blue circles), CMIP6 (red circles), HighResMIP (orange circles), CORDEX EUR-44 (light blue circles), CORDEX EUR-11 (green circles)) and box-and-whisker plots for the SMILEs: MIROC6, CSIRO-Mk3-6-0, MPI-ESM, d4PDF (grey shading) Panel (g): - Data file: Fig_10_20_panel-g_mapplot_tas_cmip5_mean_trend_bias_tas_cmip5_maps_trend_MultiModelMean_trend-bias.nc, Fig_10_20_panel-g_mapplot_tas_cmip6_mean_trend_bias_tas_cmip6_maps_trend_MultiModelMean_trend-bias.nc, Fig_10_20_panel-g_mapplot_tas_cordex_11_mean_trend_bias_tas_cordex_11_maps_trend_MultiModelMean_trend-bias.nc, Fig_10_20_panel-g_mapplot_tas_cordex_44_mean_trend_bias_tas_cordex_44_maps_trend_MultiModelMean_trend-bias.nc, Fig_10_20_panel-g_mapplot_tas_hrmip_mean_trend_bias_tas_hrmip_maps_trend_MultiModelMean_trend-bias.nc; modelled OLS linear surface air temperature trend differences to the observed trend (Berkeley Earth) over 1960-2014 of CMIP5, CMIP6, HighResMIP, CORDEX EUR-44, and CORDEX EUR-11 ensemble means Acronyms: CMIP - Coupled Model Intercomparison Project, Cordex – Coordinated Regional Climate Downscaling Experiment, CRU TS- Climatic Research Unit Time Series, CSIRO - Commonwealth Scientific and Industrial Research Organisation, MIROC - Model for Interdisciplinary Research on Climate, SMILEs -single model initial-condition large ensembles, d4PDF - Database for Policy Decision-Making for Future Climate Change, OLS - ordinary least squares regression. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The code for ESMValTool is provided. --------------------------------------------------- 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 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.