Dataset
Technical Summary of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Box TS.5, Figure 1 (v20220817)
Abstract
Input Data for Box TS.5, Figure 1 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Box TS.5, Figure1 shows the carbon cycle sensitivity to forcings, future CO2 emissions pathways and the associated sinks and sink fractions.
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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:
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.
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Figure subpanels
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The figure has 7 panels with data provided for all of them. A single python script plots the entire figure.
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List of data provided
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This dataset contains:
- Carbon cycle feedback sensitivities from the CMIP6 models
- CO2 concentration data used as input to the concentration driven historical and ssp simulations
- CO2 concentrations from CMIP6 models from the emissions-driven SSP5-8.5 simulation
- CO2 concentrations from MAGICC 7.5.1 model for the other scenarios
- Carbon fluxes and derived emissions from the CMIP6 models up to 2100
- Carbon fluxes from the CMIP6 models up to 2300
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Data provided in relation to figure
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Data provided in relation to Box TS.5, Figure 1:
carbon cycle feedback sensitivities from the CMIP6 models (courtesy Charlie Koven):
- carbon_feedback_parameters.nc
Sub-directory CMIP_data:
CO2 concentration data used as input to the concentration driven historical and ssp simulations:
- CMIP6_HIST_CO2.dat
- CMIP6_SSP2300_CO2.dat
- CMIP6_SSP_CO2.dat
CO2 concentrations from CMIP6 models from the emissions-driven SSP5-8.5 simulation:
-CMIP6_e-CO2.dat
Carbon fluxes from the CMIP6 models up to 2300:
- CESM2-WACCM_fgco2.dat
- CESM2-WACCM_nbp.dat
- CanESM5_fgco2.dat
- CanESM5_nbp.dat
- IPSL-CM6A-LR_fgco2.dat
- IPSL-CM6A-LR_nbp.dat
- UKESM1-0-LL_fgco2.dat
- UKESM1-0-LL_nbp.dat
Sub-directory MAGIC_data:
CO2 concentrations from MAGICC 7.5.1 model for the other scenarios (courtesy Zeb Nicholls and MAGICC team):
- MAGICCv7.5.1_atmospheric-co2_esm-ssp119.nc
- MAGICCv7.5.1_atmospheric-co2_esm-ssp126.nc
- MAGICCv7.5.1_atmospheric-co2_esm-ssp245.nc
- MAGICCv7.5.1_atmospheric-co2_esm-ssp370.nc
- MAGICCv7.5.1_atmospheric-co2_esm-ssp534-over.nc
- MAGICCv7.5.1_atmospheric-co2_esm-ssp585.nc
MAGICC is maintained and developed by Malte Meinshausen, Jared Lewis and Zebedee Nicholls.
If you have any questions about MAGICC's output or would like to use it in a publication, please contact Malte Meinshausen, Jared Lewis and Zebedee Nicholls.
The setup used to generate this data is described extensively in Cross-chapter Box 7.1 and is based on Meinshausen et al. [2009](doi:10.1038/nature08017), [2011](doi:10.5194/acp-11-1417-2011) and [2020](doi:10.5194/gmd-13-3571-2020).
Sub-directory Liddicoat_data:
Carbon fluxes and derived emissions from the CMIP6 models up to 2100 (courtesy Spencer Liddicoat):
- fEmsHistoricalSsp119_GtCyr.txt
- ffEmsHistoricalSsp126_GtCyr.txt
- ffEmsHistoricalSsp245_GtCyr.txt
- ffEmsHistoricalSsp370_GtCyr.txt
- ffEmsHistoricalSsp434_GtCyr.txt
- ffEmsHistoricalSsp460_GtCyr.txt
- ffEmsHistoricalSsp534os_GtCyr.txt
- ffEmsHistoricalSsp585_GtCyr.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp119.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp126.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp245.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp370.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp434.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp460.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp534os.txt
- global_total_FGCO2_GtC_yr_HistoricalSsp585.txt
- global_total_NBP_GtC_yr_HistoricalSsp119.txt
- global_total_NBP_GtC_yr_HistoricalSsp126.txt
- global_total_NBP_GtC_yr_HistoricalSsp245.txt
- global_total_NBP_GtC_yr_HistoricalSsp370.txt
- global_total_NBP_GtC_yr_HistoricalSsp434.txt
- global_total_NBP_GtC_yr_HistoricalSsp460.txt
- global_total_NBP_GtC_yr_HistoricalSsp534os.txt
- global_total_NBP_GtC_yr_HistoricalSsp585.txt
# multi-model, multi-scenario flux data from Liddicoat et al., 2020
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Notes on reproducing the figure from the provided data
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The figure can be recreated by running the python script, TS_C_cycle.py
This requires the Iris package: in addition to standard python packages such as numpy and matplotlib. Links provided in the Related Documents section of this catalogue record:
# SciTools: Open tools for the analysis and visualisation of Earth science data
# iris: A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data
This has been tested and runs at:
Python version: 3.6.6
Iris version: 3.0.1
The python script TS_C_cycle.py will read data and recreate the entire multi-panel figure from the data files provided for this figure.
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Acronyms
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- CMIP6: is the sixth phase of the Coupled Model Intercomparison Project.
- MAGICC 7.5.1: Model for the Assessment of Greenhouse Gas Induced Climate Change
- SSP5-8.5: SSP5-8.5 is based on Shares Socioeconomic Pathway SSP5 where climate change mitigation challenges dominate and RCP8.5, a future pathway with a radiative forcing of 8.5 W/m2 in the year 2100.
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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 (Technical Summary)
- Link to the code for the figure, archived on Zenodo.
- Link to Liddicoat et al., 2020
- Link to SciTools (SciTools: Open tools for the analysis and visualisation of Earth science data)
- Link to Iris (iris: A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data)
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(s): 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, dat and text formatted
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Related Documents
Process overview
| Title | Caption for Figure Box TS.5, 1 from the Technical Summary of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) |
| Abstract | Carbon cycle processes and projections. Carbon cycle response to forcings. The figure shows changes in carbon storage in response to elevated CO2 (a, b) and the response to climate warming (c, d). Maps show spatial patterns of changes in carbon uptake during simulations with 1% per year increase in CO2 {section 5.4.5.5}, and zonal mean plots show distribution of carbon changes is dominated by the land (green lines) in the tropics and northern hemisphere and ocean (blue lines) in the southern hemisphere. Hatching indicates regions where fewer than 80% of models agree on the sign of response. (e) Future CO2 projections: projected CO2 concentrations in the SSP scenarios in response to anthropogenic emissions, results from coupled ESMs for SSP5-8.5 and from the MAGICC7 emulator for other scenarios {section 4.3.1}. (f) Future carbon fluxes: projected combined land and ocean fluxes (positive downward) up to 2100 for the SSP scenarios, and extended to 2300 for available scenarios, 5-95% uncertainty plumes shown for SSP1-2.6 and SSP3-7.0 {section 5.4.5.4, 5.4.10}. The numbers near the top show the number of model simulations used. (g) Sink fraction: the fraction of cumulative emissions of CO2 removed by land and ocean sinks. The sink fraction is smaller under conditions of higher emissions. {5.4.5, 5.5.1; Figure 5.27; Figure 4.31; Figure 5.25; Figure 5.30; Figure 5.31} |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- var_id: Atmospheric_Concentrations__CO2
- var_id: ensemble_member
- var_id: time
- units: days
Co-ordinate Variables
Temporal Range
1990-01-01T12:00:00
2100-12-31T12:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |