Dataset
Chapter 6 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 6.14 v20220930
Abstract
Input Data for Figure 6.14 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure 6.14 shows multi-model annual mean change in surface O3 (ppb) concentrations at different warming levels.
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How to cite this dataset
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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. 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. 817–922, doi:10.1017/9781009157896.008.
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Figure subpanels
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The figure has four panels, with input data provided for all panels in the main directory.
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List of data provided
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This dataset contains gridded monthly, annual and seasonal mean surface ozone concentrations from 5 different CMIP6 models covering period 2015 to 2099 for the ssp370SST and ssp370pdSST AerChemMIP scenarios.
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Data provided in relation to figure
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All of the individual CMIP6 model data files provided are used to create a mulit-model mean difference between the two different scenarios at the predetermined temperature thresholds for each model.
datafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’
datafile: ‘MRI-ESM2-0_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’
datafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’
datafile: ‘GFDL-ESM4_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’
datafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’
datafile: ‘GISS-E2-1-G_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370SST_2015_2099_all.nc’
datafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’
datafile: ‘UKESM1-0-LL_monthly_annual_seasonal_mean_surf_o3_for_CMIP6_ssp370pdSST_2015_2099_all.nc’
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Notes on reproducing the figure from the provided data
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The plotting code (CMIP6_global_2D_ann_O3_resp_at_diff_temp_thresholds.py) that is provided along with this dataset to reproduce the figure will firstly extract the annual mean surface ozone concentrations for all years for each model and scenario. Then it will extract the relevant 20 years worth of data for each scenario based on the pre-calculated year that model exceeded the relevant temperature threshold for each figure panel. A difference between the scenarios at this temperature threshold will be calculated for the particular model and then be used with the same data from all the models to create a multi-model mean difference that is used for each panel of the figure. Significance testing to applied to calculate where at least one model does not agree on the sign of the change between the two scenarios.
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
SSP370 is the Shared Socioeconomic Pathway which represents the upper-middle range of radiative forcing and development scenarios, consistent with RCP6.0 and SST stands for Sea Surface Temperature.
ppb stands for parts per billion.
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Sources of additional information
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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 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.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://creativecommons.org/licenses/by/4.0/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI). |
| Data Quality: |
Data as provided by the IPCC
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| File Format: |
Data are netCDF formatted
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Related Documents
Process overview
| Title | Caption for Figure 6.14 from Chapter 6 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Multi-model annual mean change in surface O3 (ppb) concentrations at different warming levels. Changes are shown for (a) 1.0°C, (b) 1.5°C, (c) 2.0°C and (d) 2.5°C increases in global mean surface air temperature. CMIP6 models include GFDL-ESM4, GISS-E2-1-G, MRI-ESM2-0 and UKESM1-0-LL. For each model, the change in surface O3 is calculated as the difference between two AerChemMIP experiments – one with evolving future emissions and sea surface temperatures (SSTs) under the SSP3-7.0 scenario and the other with the same setup but with fixed present-day SSTs. The difference is calculated as a 20-year mean in surface O3 around the year when the temperature threshold in each model is exceeded. The multi-model change in global annual mean surface O3 concentrations with ± 1 σ are shown within parentheses. Uncertainty is represented using the simple approach: no overlay indicates regions with high model agreement, three out of four models agree on sign of change; diagonal lines indicate regions with low model agreement, where three out of four models agree on sign of change. For more information on the simple approach, please refer to the Cross-Chapter Box Atlas.1. Further details on data sources and processing are available in the chapter data table (Table 6.SM.3). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: Pa
- long_name: Surface Air Pressure
- var_id: ps_1
- units: m
- long_name: Surface Altitude
- var_id: orog
- units: ppbv
- var_id: annual_mean_surface_o3_concentration_in_ssp370sst
- long_name: annual mean surface o3 concentration in ssp370SST
- units: ppbv
- var_id: annual_mean_surface_o3_concentration_in_ssp370pdsst
- long_name: annual mean surface o3 concentration in ssp370pdSST
- standard_name: atmosphere_hybrid_sigma_pressure_coordinate
- var_id: lev
- long_name: atmospheric model level
- units: 1.0
- units: m
- var_id: lev
- long_name: hybrid height coordinate
- standard_name: atmosphere_hybrid_height_coordinate
- units: 1
- standard_name: atmosphere_hybrid_sigma_pressure_coordinate
- long_name: hybrid sigma pressure coordinate
- var_id: lev
- var_id: lat_bnds
- var_id: lev_bnds
- var_id: lon_bnds
- long_name: month
- units: no_unit
- var_id: month_1
- units: ppbv
- var_id: monthly_mean_surface_o3_concentration_in_ssp370sst
- long_name: monthly mean surface o3 concentration in ssp370SST
- units: ppbv
- var_id: monthly_mean_surface_o3_concentration_in_ssp370pdsst
- long_name: monthly mean surface o3 concentration in ssp370pdSST
- long_name: season
- units: no_unit
- var_id: season_1
- units: ppbv
- var_id: seasonal_mean_surface_o3_concentration_in_ssp370sst
- long_name: seasonal mean surface o3 concentration in ssp370SST
- units: ppbv
- var_id: seasonal_mean_surface_o3_concentration_in_ssp370pdsst
- long_name: seasonal mean surface o3 concentration in ssp370pdSST
- var_id: time_0_bnds
- var_id: time_1_bnds
- var_id: time_bnds
- units: 1
- long_name: vertical coordinate formula term: a(k)
- var_id: a
- units: 1
- long_name: vertical coordinate formula term: b(k)
- var_id: b
- units: Pa
- var_id: p0
- long_name: vertical coordinate formula term: reference pressure
- units: Pa
- var_id: ap
- long_name: vertical pressure
- units: 1
- long_name: year
- var_id: year_1
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: Latitude
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: Longitude
- units: degrees_north
- standard_name: latitude
- long_name: latitude
- var_id: lat
- units: degrees_east
- standard_name: longitude
- long_name: longitude
- var_id: lon
- long_name: time
- standard_name: time
- units: days
- var_id: time_1
Temporal Range
2015-01-01T12:00:00
2099-12-31T12:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |