13 datasets found
  1. 2024 UK Election Provisional Panel Dataset

    • kaggle.com
    zip
    Updated Jul 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Syed Shayan Shahid (2024). 2024 UK Election Provisional Panel Dataset [Dataset]. https://www.kaggle.com/datasets/shayanshahid997/2024-uk-election-provisional-panel-dataset
    Explore at:
    zip(11403619 bytes)Available download formats
    Dataset updated
    Jul 8, 2024
    Authors
    Syed Shayan Shahid
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United Kingdom
    Description

    The British Election Study team is pleased to announce the release of the 2024 Election Provisional Panel Dataset, which includes Wave 26 of the Internet Panel survey.

    This is a beta version of the BES panel which is abridged and updated to May 2026 (W26).

    Users should be aware that the release of this dataset has been expedited due to the timing of the UK General Election, which means that the dataset has not been subjected to our usual level of checks. Consequently, there may be some small mistakes in labelling or coding, and we advise users to be cautious when performing any analysis when using this dataset.

    30,064 respondents took Wave 26 of the British Election Study internet panel. 19,942 of these also took wave 25 with a retention rate of 66%. Wave 26 was conducted by YouGov between 3rd May 2024 and 22nd May 2024. As a result, this wave covers the local/mayoral elections and includes items on voter identification, but was before the 2024 UK General Election was called.

    The provisional dataset includes the core panel items present in Wave 26, alongside the same items from previous panel waves. We have also included variables for the old (2010-2019) and new (2024) constituencies (see the documentation for further details). We have provided both long and wide format versions of the dataset, for the ease of our users. A full version will be released later in the summer.

    About British Election Study

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F11344687%2F8ecbe0927a88801859bc9a9ac17fa775%2Fbes-logo-250-by-250.png?generation=1720457650867342&alt=media" alt="">

    The British Election Study 2014-2024 is managed via a consortium of the University of Manchester, the University of Oxford and Royal Holloway, University of London. The Scientific Leadership Team is comprised of Professor Ed Fieldhouse, Professor Jane Green, Professor Geoff Evans, Dr Jonathan Mellon, and Dr Christopher Prosser. The team is supported by Drs. Jack Bailey, James Griffiths, and Stuart Perrett.

  2. Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Florian Ladstädter; Blair Trewin (2024). Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.12 (v20220701) [Dataset]. https://catalogue.ceda.ac.uk/uuid/e9f67cfb456845b3b406328c6ae43e2d
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Florian Ladstädter; Blair Trewin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2002 - Dec 31, 2019
    Area covered
    Description

    Data for Figure 2.12 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure 2.12 shows changes in temperature through the troposphere and stratosphere, both on near-global scales and in the tropics.

    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 5 subpanels, with data provided for panel a.

    List of data provided

    This dataset contains observed temperature anomaly trends for 2002-2019 from the ROM SAF dataset, plotted as a trend/height/latitude contour plot.

    Data provided in relation to figure

    Data provided in relation to Figure 2.12:

    • Data file: Figure_2_12a_data_file.nc: tdry_trends filled contours plot
    • Data file: Figure_2_12a_data_file.nc: lrt_temprature_altitude grey line

    ROM SAF stands for Radio Occultation Meteorology Satellite Application Facilities.

    Notes on reproducing the figure from the provided data

    Panel (a) is plotted using standard matplotlib software. There are notes guiding the user to reproduce the figure in the code associated to this dataset. Link to the code that reproduces the figure 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 input data figure 2.12. - Link to the code for the figure, archived on Zenodo.

  3. Data from: Summary for Policymakers of the Working Group I Contribution to...

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Aug 9, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Fyfe; Baylor Fox-Kemper; Robert Kopp; Gregory Garner (2021). Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.8 (v20210809) [Dataset]. https://catalogue.ceda.ac.uk/uuid/98af2184e13e4b91893ab72f301790db
    Explore at:
    Dataset updated
    Aug 9, 2021
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    John Fyfe; Baylor Fox-Kemper; Robert Kopp; Gregory Garner
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1950 - Dec 31, 2300
    Area covered
    Earth
    Description

    Data for Figure SPM.8 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure SPM.8 shows selected indicators of global climate change under the five core scenarios used in this report.

    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:

    IPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.

    Figure subpanels

    The figure has five panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d and panel_e.

    List of data provided

    This dataset contains:

    • Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global Surface Air Temperature (GSAT) anomalies relative to 1850-1900 (20 year means)
    • Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 September sea-ice area
    • Historical, SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 Global ocean surface pH
    • Historical sea level relative to 1900 from gauges (to 1992) and altimeters (1993 on) (offset 0.158 m vs. 1995-2014)
    • AR6 sea level projections relative to 1900 (offset 0.158 m vs. 1995-2014)
    • AR6 assessed global mean sea level at 2300 relative to 1900 (offset 0.158 m vs. 1995-2014)

    The five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.

    Data provided in relation to figure

    Panel a: Near-Surface Air Temperature

    • Data file: panel_a/tas_global_Historical.csv (black line and grey shading)
    • Data file: panel_a/tas_global_SSP1_1_9.csv (cyan line)
    • Data file: panel_a/tas_global_SSP1_2_6.csv (blue line and blue shading)
    • Data file: panel_a/tas_global_SSP2_4_5.csv (orange line)
    • Data file: panel_a/tas_global_SSP3_7_0.csv (red line and red shading)
    • Data file: panel_a/tas_global_SSP5_8_5.csv (brown line)

    Panel b: Sea-Ice Area

    • Data file: panel_b/sia_arctic_september_Historical.csv (black line and grey shading)
    • Data file: panel_b/sia_arctic_september_SSP1_1_9.csv (cyan line)
    • Data file: panel_b/sia_arctic_september_SSP1_2_6.csv (blue line and blue shading)
    • Data file: panel_b/sia_arctic_september_SSP2_4_5.csv (orange line)
    • Data file: panel_b/sia_arctic_september_SSP3_7_0.csv (red line and red shading)
    • Data file: panel_b/sia_arctic_september_SSP5_8_5.csv (brown line)

    Panel c: Ocean Surface pH

    • Data file: panel_c/phos_global_Historical.csv (black line and grey shading
    • Data file: panel_c/phos_global_SSP1_1_9.csv (cyan line
    • Data file: panel_b/phos_global_SSP1_2_6.csv (blue line and blue shading)
    • Data file: panel_c/phos_global_SSP2_4_5.csv (orange line)
    • Data file: panel_c/phos_global_SSP3_7_0.csv (red line and red shading)
    • Data file: panel_c/phos_global_SSP5_8_5.csv (brown line)

    Panel d: Sea Level

    • Data file: panel_d/global_sea_level_observed.csv (black line)
    • Data file: panel_d/global_sea_level_projected.csv (cyan, blue, orange, red and brown lines, red and blue shading)

    Panel e: Sea Level

    • Data file: panel_e: global_sea_level_2300_assessed.csv (columns 2 and 3, SSP1-2.6 scenario; columns 4 to 6 SSP5-8.5 scenario)

    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 (Summary for Policymakers)
  4. Summary for Policymakers of the Working Group I Contribution to the IPCC...

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Mar 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joeri Rogelj; Chris Smith; Gian-Kasper Plattner; Malte Meinshausen; Sophie Szopa; Sebastian Milinski; Jochem Marotzke (2024). Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.4 (v20210809) [Dataset]. https://catalogue.ceda.ac.uk/uuid/bd65331b1d344ccca44852e495d3a049
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Joeri Rogelj; Chris Smith; Gian-Kasper Plattner; Malte Meinshausen; Sophie Szopa; Sebastian Milinski; Jochem Marotzke
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2015 - Dec 31, 2100
    Area covered
    Earth
    Description

    Data for Figure SPM.4 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure SPM.4 panel a shows global emissions projections for CO2 and a set of key non-CO2 climate drivers, for the core set of five IPCC AR6 scenarios. Figure SPM.4 panel b shows attributed warming in 2081-2100 relative to 1850-1900 for total anthropogenic, CO2, other greenhouse gases, and other anthropogenic forcings for five Shared Socio-economic Pathway (SSP) scenarios.

    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:

    IPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.

    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:

    • Projected emissions from 2015 to 2100 for the five scenarios of the AR6 WGI core scenario set (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5)
    • Projected warming for all anthropogenic forcers, CO2 only, non-CO2 greenhouse gases (GHGs) only, and other anthropogenic components for 2081-2100 relative to 1850-1900, for SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.

    The five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.

    Data provided in relation to figure

    Panel a:

    The first column includes the years, while the next columns include the data per scenario and per climate forcer for the line graphs.

    • Data file: Carbon_dioxide_Gt_CO2_yr.csv. relates to Carbon dioxide emissions panel
    • Data file: Methane_Mt_CO2_yr.csv. relates to Methane emissions panel
    • Data file: Nitrous_oxide_Mt N2O_yr.csv. relates to Nitrous oxide emissions panel
    • Data file: Sulfur_dioxide_Mt SO2_yr.csv. relates to Sulfur dioxide emissions panel

      Panel b:

    • Data file: ts_warming_ranges_1850-1900_base_panel_b.csv. [Rows 2 to 5 relate to the first bar chart (cyan). Rows 6 to 9 relate to the second bar chart (blue). Rows 10 to 13 relate to the third bar chart (orange). Rows 14 to 17 relate to the fourth bar chart (red). Rows 18 to 21 relate to the fifth bar chart (brown).].

    Sources of additional information

    The following weblink are provided in the Related Documents section of this catalogue record: - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 1, which contains details on the input data used in Table 1.SM.1..(Cross-Chapter Box 1.4, Figure 2). - Link to related publication for input data used in panel a.

  5. Summary for Policymakers of the Working Group I Contribution to the IPCC...

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Mar 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Erich Fischer; Mathias Hauser (2024). Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.5 (v20210809) [Dataset]. https://catalogue.ceda.ac.uk/uuid/2787230b963942009e452255a3880609
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Erich Fischer; Mathias Hauser
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1850 - Dec 31, 2100
    Area covered
    Earth
    Variables measured
    latitude, longitude
    Description

    Data for Figure SPM.5 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure SPM.5 shows changes in annual mean surface temperatures, precipitation, and total column soil moisture.

    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:

    IPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.

    Figure subpanels

    The figure has four panels with 11 maps. All data is provided, except for panel a1.

    List of data provided

    This dataset contains:

    • Annual mean temperature change (°C) (relative to 1850-1900)
    • Annual mean precipitation change (%) (relative to 1850-1900)
    • Annual mean soil moisture change (standard deviation of interannual variability) (relative to 1850-1900)

    The data is given for global warming levels (GWLs), namely +1.0°C (temperature only), +1.5°C, 2.0°C, and +4.0°C.

    Data provided in relation to figure

    Panel a: - Data file: Panel_a2_Simulated_temperature_change_at_1C.nc, simulated annual mean temperature change (°C) at 1°C global warming relative to 1850-1900 (right).

    Panel b: - Data file: Panel_b1_Simulated_temperature_change_at_1_5C.nc, simulated annual mean temperature change (°C) at 1.5°C global warming relative to 1850-1900 (left). - Data file: Panel_b2_Simulated_temperature_change_at_2C.nc, simulated annual mean temperature change (°C) at 2.0°C global warming relative to 1850-1900 (center). - Data file: Panel_b3_Simulated_temperature_change_at_4C.nc, simulated annual mean temperature change (°C) at 4.0°C global warming relative to 1850-1900 (right).

    Panel c: - Data file: Panel_c1_Simulated_precipitation_change_at_1_5C.nc, simulated annual mean precipitation change (%) at 1.5°C global warming relative to 1850-1900 (left). - Data file: Panel_c2_Simulated_precipitation_change_at_2C.nc, simulated annual mean precipitation change (%) at 2.0°C global warming relative to 1850-1900 (center). - Data file: Panel_c3_Simulated_precipitation_change_at_4C.nc, simulated annual mean precipitation change (%) at 4.0°C global warming relative to 1850-1900 (right).

    Panel d: - Data file: Figure_SPM5_d1_cmip6_SM_tot_change_at_1_5C.nc, simulated annual mean total column soil moisture change (standard deviation) at 1.5°C global warming relative to 1850-1900 (left). - Data file: Figure_SPM5_d2_cmip6_SM_tot_change_at_2C.nc, simulated annual mean total column soil moisture change (standard deviation) at 2.0°C global warming relative to 1850-1900 (center). - Data file: Figure_SPM5_d3_cmip6_SM_tot_change_at_4C.nc, simulated annual mean total column soil moisture change (standard deviation) at 4.0°C global warming relative to 1850-1900 (right).

    Sources of additional information

    The following weblink is provided in the Related Documents section of this catalogue record:

    • Link to the report webpage, which includes the component containing the figure (Summary for Policymakers), the Technical Summary (Figures TS.3 and TS.5) and the Supplementary Material for Chapters 1, 4 and 11, which contains details on the input data used in Tables 1.SM.1 (Figure 1.14), 4.SM.1 (Figures 4.31 and 4.32) and 11.SM.9 (Figure 11.19).
  6. Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Mar 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Juan Antonio Rivera; Michael Bosilovich (2024). Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.16 (v20220630) [Dataset]. https://catalogue.ceda.ac.uk/uuid/2a1284ec9d564f679480ee013b733ae1
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Juan Antonio Rivera; Michael Bosilovich
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1980 - Dec 31, 2019
    Area covered
    Earth
    Variables measured
    time, latitude, longitude, precipitation_flux, water_evaporation_flux
    Description

    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.

  7. Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated May 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Steven Turnock; Sophie Szopa; Vaishali Naik; Rita Van Dingenen (2023). Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 6.SM.4 (v20220930) [Dataset]. https://catalogue.ceda.ac.uk/uuid/56c283c79666449ebe0235e809bdb69f
    Explore at:
    Dataset updated
    May 16, 2023
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Steven Turnock; Sophie Szopa; Vaishali Naik; Rita Van Dingenen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2015 - Dec 31, 2100
    Area covered
    Earth
    Description

    Data for Figure 6.SM.4 from Chapter 6 Supplementary Material of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure 6.SM.4 shows future global and regional changes in annual mean surface PM2.5, relative to the 2005-2014 mean, for the different SSPs used in CMIP6. Each line represents a multi-model mean across the region with shading representing the ±1 standard deviation in the mean.

    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: Szopa, S., V. Naik, B. Adhikary, P. Artaxo, T. Berntsen, W.D. Collins, S. Fuzzi, L. Gallardo, A. Kiendler-Scharr, Z. Klimont, H. Liao, N. Unger, and P. Zanis, 2021: Short-Lived Climate Forcers 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 [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.)]. Available from https://www.ipcc.ch/

    Figure subpanels

    The figure has 11 panels, with data provided for all panels in 4 files placed in the main directory.

    List of data provided

    This dataset contains precomputed values of surface PM2.5 concentrations across world regions for: - A 10-year mean period (2005 to 2014) from the historical simulation to represent present day regional mean values. Regional multi-model annual mean and standard deviation values are calculated across 5 different CMIP6 models - Annual 5-year multi-model mean values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering the period 2015 to 2100 - Standard deviation values of surface PM2.5 from 5 different CMIP6 models projected for 7 different future scenarios covering 5-year mean periods from 2015 to 2100 - Annual 10-year mean values of surface PM2.5 from the TM5-FASST model projected for 5 different future scenarios covering the period 2015 to 2100

    Data provided in relation to figure

    All the data files provided are used to create the time series plots for each region. The numbers in each panel for each region are obtained from 'Surf_PM2pt5_data_05_14_mean_for_IPCC_figure_V1_5mods.csv', with the time series line for each scenario from 'Surf_PM2pt5_data_fut_mean_for_IPCC_figure_V1_5mods.csv' and the shading obtained by using the values in 'Surf_PM2pt5_SD_data_fut_mean_for_IPCC_figure_V1_5mods.csv'. The TM5-FASST data is included on the figure by reading in pre-computed regional mean values from the 'Regional_annual_mean_surface_PM2pt5_resp_values_CMIP6_Fut_Scens_from_TM5_FASST_on_AR6_reg_receptors_INCL_GLOB_2015_2100.txt' file.

    CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. PM2.5 refers to fine particulate matter air pollution with diameter of less than 2.5 microns. SSP stands for Shared Socioeconomic Pathway.

    Notes on reproducing the figure from the provided data

    The plotting code that is provided along with this dataset should just be able to read in each of the precomputed regional mean .csv files and then reproduce the time series figures.

    Sources of additional information

    The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component related to the figure (Chapter 6) - Link to the Supplementary Material for Chapter 6, which contains details on the input data used in Table 6.SM.3 - Link to the code for the figure, archived on Zenodo.

  8. Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elizaveta Malinina; Lee de Mora (2024). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.24 (v20220614) [Dataset]. https://catalogue.ceda.ac.uk/uuid/a71383af93af4f58ae27d66ba15b3543
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Elizaveta Malinina; Lee de Mora
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1979 - Dec 31, 1999
    Area covered
    Earth
    Description

    Data for Figure 3.24 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure 3.24 shows biases in zonal mean and equatorial sea surface temperature (SST) in CMIP5 and CMIP6 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: 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 three panels (a), (b), (c), with data provided for all panels in subdirectories named panel_a, panel_b and panel_c.

    List of data provided

    The dataset contains sea surface temperature (SST) data (1979-1999):

    • Modelled zonal mean SST biases from CMIP5
    • Modelled zonal mean SST biases from CMIP6
    • Modelled zonal mean SST biases from HighResMIP
    • Modelled equatorial SST biases from CMIP5
    • Modelled equatorial SST biases from CMIP6
    • Modelled equatorial SST biases from HighResMIP
    • Modelled mean equatorial SST from CMIP5
    • Modelled mean equatorial SST from CMIP6
    • Modelled mean equatorial SST from HighResMIP
    • Observed mean equatorial SST from HadISST v1

    Data provided in relation to figure

    • panel_a/zonal_sst_bias.csv has zonal mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble
    • panel_b/equatorial_sst_bias.csv has equatorial mean sea surface temperature bias over the period 1979-1999, there are data for blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble
    • panel_c/equatorial_sst_means.csv has equatorial mean sea surface temperature over the period 1979-1999, there are data for black (HadISSTv1), blue (CMIP5), red (CMIP6) and green (HighResMIP) shadings representing 5th and 95th percentile over ensemble Details about the data provided in relation to the figure in the header of every file.

    CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.

    Notes on reproducing the figure from the provided data

    For equatorial SSTs and equatorial SST biases, the data has longitude coordinate which goes 20 to 380 degrees. It was done with python package iris not to break the lines through Atlantic.

    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 code for the figure, archived on Zenodo.

  9. Summary for Policymakers of the Working Group I Contribution to the IPCC...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joeri Rogelj; Blair Trewin; Karsten Haustein; Pep Canadell; Sophie Szopa; Sebastian Milinski; Jochem Marotzke; Kirsten Zickfeld (2024). Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.10 (v20210809) [Dataset]. https://catalogue.ceda.ac.uk/uuid/cfe938e70f8f4e98b0622296743f7913
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Joeri Rogelj; Blair Trewin; Karsten Haustein; Pep Canadell; Sophie Szopa; Sebastian Milinski; Jochem Marotzke; Kirsten Zickfeld
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1850 - Dec 31, 2050
    Area covered
    Earth
    Description

    Data for Figure SPM.10 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure SPM.10 shows global warming as a function of cumulative emissions of carbon dioxide.

    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:

    IPCC, 2021: Summary for Policymakers. 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. 3−32, doi:10.1017/9781009157896.001.

    Figure subpanels

    The figure has two panels that are closely linked. Data files for the top panel are labelled with 'Top_panel' while data files for the bottom panel are labelled with 'Bottom_panel'.

    List of data provided

    This dataset contains:

    Top panel:

    • Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)
    • Global surface temperature increase relative to 1850-1900 (1850-2019)
    • Estimated human-caused warming relative to 1850-1900 (1850-2019)
    • Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)
    • Assessed global surface temperature increase relative to 1850-1900 for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)

    Bottom panel:

    • Cumulative global total anthropogenic carbon dioxide emissions (1850-2019)
    • Projected global total anthropogenic carbon dioxide emissions for the five scenarios of the AR6 WGI core set of scenarios (2015-2050)

    The illustrative SSP (Shared Socio-economic Pathway) scenarios (referred to here as core scenarios) are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.

    Data provided in relation to figure

    Top panel: • Top_panel_HISTORY.csv: historical CO2 emissions, global surface temperature increase since 1850-1900 for the 1850-2019 period, estimated human-caused warming since 1850-1900 over the 1850-2019 period. [row 1 for black line, grey line and grey range, row 2 for black line, row 3 to 5 range and central grey range] • Top_panel_SSP1-19.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges] • Top_panel_SSP1-26.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges] • Top_panel_SSP2-45.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges] • Top_panel_SSP3-70.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges] • Top_panel_SSP5-85.csv: projected CO2 emissions, assessed projections of global surface temperature increase relative to the 1850-1900 period for the period 2015-2050 [row 1 and 2 for central lines, row 1, 3, and 4 for ranges]

    Bottom panel: • Bottom_panel_GtCO2_historical.csv: historical CO2 emissions [grey bars] • Bottom_panel_GtCO2_projections.csv; projected CO2 emissions for the five scenarios in the core set of IPCC AR6 WG1 scenarios [coloured bars]

    Sources of additional information

    The following weblinks are provided in the Related Documents section of this catalogue record:

  10. Technical Summary of the Working Group I Contribution to the IPCC Sixth...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Darrell Kaufman; Lucas Silva; Dan Lunt; Christopher Jones; Gavin Foster; Ed Hawkins (2024). Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure TS.1 v20221110 [Dataset]. https://catalogue.ceda.ac.uk/uuid/3d16a09c21c9440288608276b615c11f
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Natural Environment Research Councilhttps://www.ukri.org/councils/nerc
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Darrell Kaufman; Lucas Silva; Dan Lunt; Christopher Jones; Gavin Foster; Ed Hawkins
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1 - Dec 31, 2300
    Area covered
    Earth
    Variables measured
    time, height, latitude, longitude, air_temperature
    Description

    Data for Figure TS.1 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure TS.1 shows changes in atmospheric CO2 and global surface temperature (relative to 1850-1900) from the deep past to the next 300 years.

    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: Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.

    Figure subpanels

    The figure has three panels with multiple subplots. Metadata provided for all the plots in the figure, and data is provided for the maps of surface temperature (projections and 2020) and for the atmospheric CO2 concentration corresponding to the paleo 60 - 1 million years time series, and paleo and direct measurements from 800 thousand years to 1980.

    List of data provided

    This dataset contains:

    • Atmospherics CO2 concentration (ppm) corresponding to the paleo 60–1 million years
    • Atmospherics CO2 concentration (ppm), paleo and direct measurements from 800 thousand years to 1980
    • Global surface temperature for 2020 (estimate of the total observed warming since 1850–1900).
    • Global surface temperature at 2100 and 2300 from CMIP6 models (relative to 1850-1900) for SSP1-2.6 and SSP5-8.5 scenarios.

    Data provided in relation to figure

    • Data file: CO2_60_Myr.csv (top row, atmospheric CO2 concentration corresponding to the paleo 60–10 million years time series)
    • Data file: fig2_4a_main_figure_data.csv (top row, paleo and direct measurements from 800 thousand years to 1980)
    • Data file: TS_BK_2020.nc (Global surface temperature map for 2020, estimate of the total observed warming since 1850–1900).
    • Data file: ensmean_tas_ssp126_2100-historical_1850_regrid.nc (Global surface temperature map at 2100 relative to 1850-1900 for SSP1-2.6 scenario)
    • Data file: ensmean_tas_ssp126_2300-historical_1850_regrid.nc (Global surface temperature map at 2300 relative to 1850-1900 for SSP1-2.6 scenario)
    • Data file: ensmean_tas_ssp585_2100-historical_1850_regrid.nc (Global surface temperature map at 2100 relative to 1850-1900 for SSP5-8.5 scenario)
    • Data file: ensmean_tas_ssp585_2300-historical_1850_regrid.nc (Global surface temperature map at 2300 relative to 1850-1900 for SSP5-8.5 scenario)

    CSV files were converted for archival from Excel workbooks.

    SSP stands for Shared Socioeconomic Pathway. ppm stands for parts per million. SSP1-2.6 is based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100. SSP2-4.5 is based on Shared Socioeconom... For full abstract see: https://catalogue.ceda.ac.uk/uuid/3d16a09c21c9440288608276b615c11f.

  11. Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dan Lunt (2024). Chapter 7 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 7.19 (v20220721) [Dataset]. https://catalogue.ceda.ac.uk/uuid/9ce84c3a242e4b999c24dc1647c89794
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Natural Environment Research Councilhttps://www.ukri.org/councils/nerc
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Dan Lunt
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Earth
    Description

    Data for Figure 7.19 from Chapter 7 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure 7.19 shows global mean temperature anomaly in models and observations from five time periods.

    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: Forster, P., T. Storelvmo, K. Armour, W. Collins, J.-L. Dufresne, D. Frame, D.J. Lunt, T. Mauritsen, M.D. Palmer, M. Watanabe, M. Wild, and H. Zhang, 2021: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. 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. 923–1054, doi:10.1017/9781009157896.009.

    Figure subpanels

    The figure has 5 subpanels, with data provided for panels a-e.

    List of data provided

    This dataset contains:

    • Global mean temperature anomaly in: (a) Historical (CMIP6 models); (b) post-1975 (CMIP6 models); (c) Last Glacial Maximum (LGM; Cross-Chapter Box 2.1; PMIP4 models; Kageyama et al., 2021; Zhu et al., 2021); (d) mid-Pliocene Warm Period (MPWP; Cross-Chapter Box 2.4; PlioMIP models; Haywood et al., 2020; Zhang et al., 2021); (e) Early Eocene Climatic Optimum (EECO; Cross-Chapter Box 2.1; DeepMIP models; Zhu et al., 2020; Lunt et al., 2021).

    Grey circles show models with ECS in the assessed very likely range; models in red have an ECS greater than the assessed very likely range (>5°C); models in blue have an ECS lower than the assessed very likely range (<2°C). Black ranges show the assessed temperature anomaly derived from observations (Section 2.3). The historical anomaly in models and observations is calculated as the difference between 2005–2014 and 1850–1900, and the post-1975 anomaly is calculated as the difference between 2005–2014 and 1975–1984.

    For the LGM, MPWP and EECO, temperature anomalies are compared with pre-industrial (equivalent to CMIP6 simulation ‘piControl’). All model simulations of the MPWP and LGM were carried out with atmospheric CO2 concentrations of 400 and 190 ppm respectively. However, CO2 during the EECO is relatively more uncertain, and model simulations were carried out at either 1120ppm or 1680 ppm (except for the one high-ECS EECO simulation which was carried out at 840 ppm; Zhu et al., 2020). The one low-ECS EECO simulation was carried out at 1680 ppm.

    Further details on data sources and processing are available in the chapter data table (Table 7.SM.14).

    ECS stands for Equilibrium Climate Sensitivity.

    Data provided in relation to figure

    Data provided in relation to Figure 7.19:

    • Data file: Figure7_19_mod.csv
    • Data file: Figure7_19_obs.csv

      Notes on reproducing the figure from the provided data

      The data provided is the output data of the figure which can be used to reproduce the figure. Link to the plotting script for reproducing this figure 'ipcc_figure_7.19.ipynb' can be found in the Related Documents section of this catalogue record. The original script for plotting this figure can be found in the Chapter 7 GitHub repository also linked but requires IDL.

      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 7)

    • Link to the Supplementary Material for Chapter 7, which contains details on the input data used in Table 7.SM.1 to 7.SM.7.

    • Link to the code for Chapter 7, archived on Zenodo

    • Link to scripts used to reproduce figure from data

    • Link to the Chapter 7 GitHub repository

  12. Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Erich Fischer (2024). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.41 (v20230213) [Dataset]. https://catalogue.ceda.ac.uk/uuid/e397fe6f20024295b095e2e3ca1e9f04
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Erich Fischer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2081 - Dec 31, 2100
    Area covered
    Earth
    Variables measured
    latitude, longitude
    Description

    Data for Figure 4.41 from Chapter 4 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure 4.41 shows high-warming storylines for changes in annual mean temperature.

    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: Lee, J.-Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J.P. Dunne, F. Engelbrecht, E. Fischer, J.C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, and T. Zhou, 2021: Future Global Climate: Scenario-Based Projections and Near-Term Information. 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. 553–672, doi:10.1017/9781009157896.006.

    Figure subpanels

    The figure has eight panels, with data provided for all panels in two files one including data for panels a, c, e, g and the other for panels b, d, f, h.

    List of data provided

    This dataset contains temperature change patterns for the multi model means and different low-likelihood high warming storylines.

    Data provided in relation to figure

    Data file Data_shown_in_figure_panels_aceg.nc includes the temperature change pattern for the four panels as different variables called panelA, panelC, panelE and panel G, respectively. Data file Data_shown_in_figure_panels_bdfh.nc includes the temperature change pattern for the four panels as different variables called panelB, panelD, panelF and panel H, respectively.

    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 4) - Link to the Supplementary Material for Chapter 4, which contains details on the input data used in Table 4.SM.1

  13. Technical Summary of the Working Group I Contribution to the IPCC Sixth...

    • catalogue.ceda.ac.uk
    Updated Mar 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jorge Baño-Medina; José Manuel Gutiérrez; Maialen Iturbide (2024). Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure TS.24 (v20221111) [Dataset]. https://catalogue.ceda.ac.uk/uuid/38401030f262490094dc9c8931c851e4
    Explore at:
    Dataset updated
    Mar 9, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Jorge Baño-Medina; José Manuel Gutiérrez; Maialen Iturbide
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1995 - Dec 31, 2100
    Area covered
    Earth
    Variables measured
    time, latitude, longitude
    Description

    Input Data for Figure TS.24 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

    Figure TS.24 shows projected change in the mean number of days per year with maximum temperature exceeding 35°C for CMIP5 (first column), CMIP6 (second column) and CORDEX (thirth column).

    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: Arias, P.A., N. Bellouin, E. Coppola, R.G. Jones, G. Krinner, J. Marotzke, V. Naik, M.D. Palmer, G.-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P.W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R.P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J.G. Canadell, C. Cassou, A. Cherchi, W. Collins, W.D. Collins, S.L. Connors, S. Corti, F. Cruz, F.J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F.J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J.S. Fuglestvedt, J.C. Fyfe, N.P. Gillett, L. Goldfarb, I. Gorodetskaya, J.M. Gutierrez, R. Hamdi, E. Hawkins, H.T. Hewitt, P. Hope, A.S. Islam, C. Jones, D.S. Kaufman, R.E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J.-Y. Lee, J. Li, T. Mauritsen, T.K. Maycock, M. Meinshausen, S.-K. Min, P.M.S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A.C. Ruane, L. Ruiz, J.-B. Sallée, B.H. Samset, S. Sathyendranath, S.I. Seneviratne, A.A. Sörensson, S. Szopa, I. Takayabu, A.-M. Tréguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, and K. Zickfeld, 2021: Technical Summary. 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. 33−144, doi:10.1017/9781009157896.002.

    Figure subpanels

    The figure has 12 panels with input data provided for all panels.

    List of data provided

    This dataset contains projected global changes in the mean number of days per year with maximum temperature exceeding 35°C for the multimodel ensemble of CORDEX (third column in the figure), for the SSP5-8.5 and SSP1-2.6 scenarios and for the 2041-2060 and 2081-2100 future periods, relative to the historical 1995–2014 period.

    Data provided in relation to figure

    • Data file: (panel a) CMIP5_TX35_rcp26_2041-2060_rel.to-1995-2014.nc and CMIP5_TX35_rcp26_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP2.6 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.
    • Data file: (panel b) CMIP5_TX35_rcp26_2081-2100_rel.to-1995-2014.nc and CMIP5_TX35_rcp26_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP2.6 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.
    • Data file: (panel c) CMIP5_TX35_rcp85_2041-2060_rel.to-1995-2014.nc and CMIP5_TX35_rcp85_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP8.5 scenario for the future period 2041-2060 relative to the historical 1995-2014 period.
    • Data file: (panel d) CMIP5_TX35_rcp85_2081-2100_rel.to-1995-2014.nc and CMIP5_TX35_rcp85_2081-2100_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP5 and the RCP8.5 scenario for the future period 2081-2100 relative to the historical 1995-2014 period.
    • Data file: (panel e) CMIP6_TX35_ssp126_2041-2060_rel.to-1995-2014.nc and CMIP6_TX35_ssp126_2041-2060_rel.to-1995-2014_model_agreement.nc; global changes in the mean number of days per year with maximum temperature exceeding 35°C as projected by the CMIP6 and the ... For full abstract see: https://catalogue.ceda.ac.uk/uuid/38401030f262490094dc9c8931c851e4.
  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Syed Shayan Shahid (2024). 2024 UK Election Provisional Panel Dataset [Dataset]. https://www.kaggle.com/datasets/shayanshahid997/2024-uk-election-provisional-panel-dataset
Organization logo

2024 UK Election Provisional Panel Dataset

Analyzing the Early Trends: Insights from the 2024 UK Election Panel Dataset

Explore at:
zip(11403619 bytes)Available download formats
Dataset updated
Jul 8, 2024
Authors
Syed Shayan Shahid
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
United Kingdom
Description

The British Election Study team is pleased to announce the release of the 2024 Election Provisional Panel Dataset, which includes Wave 26 of the Internet Panel survey.

This is a beta version of the BES panel which is abridged and updated to May 2026 (W26).

Users should be aware that the release of this dataset has been expedited due to the timing of the UK General Election, which means that the dataset has not been subjected to our usual level of checks. Consequently, there may be some small mistakes in labelling or coding, and we advise users to be cautious when performing any analysis when using this dataset.

30,064 respondents took Wave 26 of the British Election Study internet panel. 19,942 of these also took wave 25 with a retention rate of 66%. Wave 26 was conducted by YouGov between 3rd May 2024 and 22nd May 2024. As a result, this wave covers the local/mayoral elections and includes items on voter identification, but was before the 2024 UK General Election was called.

The provisional dataset includes the core panel items present in Wave 26, alongside the same items from previous panel waves. We have also included variables for the old (2010-2019) and new (2024) constituencies (see the documentation for further details). We have provided both long and wide format versions of the dataset, for the ease of our users. A full version will be released later in the summer.

About British Election Study

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F11344687%2F8ecbe0927a88801859bc9a9ac17fa775%2Fbes-logo-250-by-250.png?generation=1720457650867342&alt=media" alt="">

The British Election Study 2014-2024 is managed via a consortium of the University of Manchester, the University of Oxford and Royal Holloway, University of London. The Scientific Leadership Team is comprised of Professor Ed Fieldhouse, Professor Jane Green, Professor Geoff Evans, Dr Jonathan Mellon, and Dr Christopher Prosser. The team is supported by Drs. Jack Bailey, James Griffiths, and Stuart Perrett.

Search
Clear search
Close search
Google apps
Main menu