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  • This dataset collection contains air quality data from the Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme 'Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux)'.

  • 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

  • This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the RA2 instrument on ENVISAT and the Altika instrument on SARAL satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). The product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. The main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies. The Envisat and SARAL/AltiKa missions have the same ground track but the temporal gap between both missions prevents from computing reliable trends during the total period between both missions. This dataset has been produced by the Climate Change Initiative Coastal Sea Level team, within the extension phase of the European Sapce Agency (ESA) Climate Change Initiative.

  • Data for Figure 3.42 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.42 shows relative space-time root-mean-square deviation (RMSD) calculated from the climatological seasonal cycle of the CMIP simulations (1980-1999) compared to observational datasets.  --------------------------------------------------- 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 --------------------------------------------------- This dataset contains the grade value of the performance metrics for all diagnostics (variables) and models. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- panel_a/fig_3_42_a.nc and panel_b/fig_3_42_b.nc: - variable 'grade' with three dimensions: * 'diagnostics': variables on the y-axis of the metrics plot * 'models': models on the x-axis of the metrics plot * 'reference': 0: upper triangle; 1: lower triangle --------------------------------------------------- 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

  • Airborne remote sensing measurements collected on 20 June 2019 by the Natural Environment Research Council Airborne Research Facility (NERC-ARF) onboard the British Antarctic Survey (BAS) Twin-Otter Aircraft for the NET-Sense - joint NASA ESA Temperature Sensing Experiment (HyTES19) project (flight reference: 2019_171a). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX imager. Data were collected over the Grosseto, Italy area.

  • Data for Cross-Chapter Box 3.2, Figure 1 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Cross-Chapter Box 3.2, Figure 1 shows a comparison of observed and simulated changes in global mean temperature and precipitation extremes.  --------------------------------------------------- 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 --------------------------------------------------- Technically the figure has four panels, but since they are not marked all the data is in the parent directory. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations) - Global annual maximum daily maximum daily maximum temperature (TXx) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcings simulations) - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017  relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (natural forcing only simulations) - Global annual maximum 1-day precipitation (rx1day) anomalies from 1953 to 2017 relative to 1961-1990 from HadEX3 observations and CMIP5 and CMIP6 models (human and natural forcings simulations) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- - txx_anomalies_timeseries_historical.csv has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies (top left panel) - txx_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing TXx anomalies  (bottom left panel) - rx1day_anomalies_timeseries_historical has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies   (top right panel) - rx1day_anomalies_timeseries_natural has data for the blue (CMIP5), red (CMIP6) and black (HadEX3) lines as well as blue and red shadings showing Rx1day anomalies  (bottom right panel) CMIP5 is the fifth phase of the Coupled Model Intercomparion Project. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018. --------------------------------------------------- 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.

  • 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 3.18 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.18 shows instantaneous Northern-Hemisphere blocking frequency (% of days) in the extended northern winter season (DJFM) for the years 1979-2000.   --------------------------------------------------- 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 --------------------------------------------------- This dataset contains blocking freuency  (1979-2000) of - ERA5 reanalysis - CMIP5 and CMIP6 multi-model mean ERA5 is the fifth generation ECMWF (European Centre for Medium-Range Weather Forecasts) atmospheric reanalysis of the global climate. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- AR6_WG1_Chap3_Figure3_18_blocking.csv (lines and shading) Corresponding line and shading colours are described in the metadata associated with the datafile --------------------------------------------------- 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.

  • Data for Figure 3.8 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.8 shows assessed contributions to observed warming, and supporting lines of evidence. --------------------------------------------------- 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 --------------------------------------------------- The dataset contains the drivers of the attributable warming (2010-2019 relative to 1850-1900): - Observed global warming (2010-2019) - Global warming and its drivers reported in the literature sources  (2010-2019) - Global warming and its drivers calculated from CMIP6 models (2010-2019) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- - drivers_observed_warming.csv has data for the shadings and markers in the figure. Additional details of data provided in relation to figure in the file header (BADC-CSV file). --------------------------------------------------- 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.

  • Input data for Figure 2.16 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 2.16 provides global precipitation minus evaporation trend maps and time series from a variety of data sources --------------------------------------------------- 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: Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of 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. 287–422, doi:10.1017/9781009157896.004. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has four panels, with input data provided for all panels in the main directory --------------------------------------------------- List of data provided --------------------------------------------------- The datasets contains: - Global precipitation and evaporation data from ERA5 reanalysis - Time series of global, land-only and ocean-only average annual P–E (mm day–1) from the following reanalysis products: 20CRv3, ERA5, ERA20CM, MERRA, CFSR, ERA20C, JRA55 and MERRA2. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel a: - Data files: IntermediateData_era5_evap_2.nc and era5_tp_2.nc Panel b: - Data file: GPME2.csv and GPME2.mat Panel c: - Data file: LPME2.csv and LPME2.mat Panel d: - Data file: OPME2.csv and OPME2.mat For panels b to d: I.     Column 2: orange solid line II.    Column 3: cyan solid line III.   Column 4: black solid line IV.   Column 5: grey solid line V.    Column 6: blue solid line VI.   Column 7: dark green solid line VII.  Column 8: brown solid line VIII. Column 9: green solid line 20CRv3 is the NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3. ERA5 is a reanalysis of the global climate from 1950 to present, developed by ECMWF. ERA20CM is a twentieth century atmospheric model ensemble developed by ECMWF. MERRA stands for Modern-Era Retrospective analysis for Research and Applications. CFSR stands for Climate Forecast System Reanalysis. ERA20C is the first atmospheric reanalysis of the 20th century, from 1900-2010, developed by ECMWF. JRA55 stands for Japanese 55-year Reanalysis. MERRA2 stands for Modern-Era Retrospective analysis for Research and Applications, version 2. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Additional information to correctly reproduce the figure in the corresponding readme files for code archived on Zenodo (see the link to code provided in the Related Documents section of this catalogue record). --------------------------------------------------- Sources of additional information --------------------------------------------------- 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 2) - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1 - Link to the code for the figure, archived on Zenodo.