This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.14 (v20220721)

Latest Data Update: 2022-12-19
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2023-02-06
DOI Publication Date: 2023-05-16
Download Stats: last 12 months
Dataset Size: 16 Files | 39MB

Abstract

Data for Figure 9.14 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 9.14 shows monthly mean March and September sea ice area as a function of global surface air temperature (GSAT) anomaly; cumulative anthropogenic CO2 emissions; year in CMIP6 model simulations and in observations.

---------------------------------------------------
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:
Fox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.

---------------------------------------------------
Figure subpanels
---------------------------------------------------
The figure has 8 subpanels, with data provided for all panels.

---------------------------------------------------
List of data provided
---------------------------------------------------
This dataset contains:

- (a) Monthly mean March sea ice area as a function of global surface air temperature (GSAT) anomaly.
- (b) Monthly mean March sea ice area as a function of cumulative anthropogenic CO2 emissions.
- (c) Monthly mean March sea ice area as a function of year in CMIP6 model simulations and observations.
- (d) Sensitivity of March sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.
- (e) Monthly mean September sea ice area as a function of global surface air temperature (GSAT) anomaly.
- (f) Monthly mean September sea ice area as a function of cumulative anthropogenic CO2 emissions.
- (g) Monthly mean September sea ice area as a function of year in CMIP6 model simulations and observations
- (h) Sensitivity of September sea ice loss to anthropogenic CO2 emissions as a function of modelled sensitivity of GSAT to anthropogenic CO2 emissions.

CO2 emissions are shown as CMIP6 model simulations (shading, ensemble mean as bold line) and observations (black dots).

---------------------------------------------------
Data provided in relation to figure
---------------------------------------------------
Data provided in relation to Figure 9.14

- Data file: CMIP3_sensitivity_nh.nc
- Data file: CMIP5_sensitivity_nh.nc
- Data file: CMIP6_historical_nh.nc
- Data file: CMIP6_sensitivity_nh.nc
- Data file: CMIP6_ssp119_nh.nc
- Data file: CMIP6_ssp126_nh.nc
- Data file: CMIP6_ssp245_nh.nc
- Data file: CMIP6_ssp585_nh.nc
- Data file: CO2_CMIP6.nc
- Data file: IPCC_GSAT.csv: Provisional time series for use in GSAT calculations.
- Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc
- Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc
- Data file: obs_sensitivity_nh.nc

CMIP3 is the third phase of the Coupled Model Intercomparison Project.
CMIP5 is the fifth phase of Coupled Model Intercomparison Project.
CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.
GSAT stands for Global Surface Air Temperature.
SSP126 is the Shared Socioeconomic Pathway which represents the lower boundary of radiative forcing and development scenarios, consistent with RCP2.6.
SSP245 is the Shared Socioeconomic Pathway which represents the median of radiative forcing and development scenarios, consistent with RCP4.5.
SSP585 is the Shared Socioeconomic Pathway which represents the upper boundary of radiative forcing and development scenarios, consistent with RCP8.5.
UHH is the University of Hamburg (Universität Hamburg).

---------------------------------------------------
Notes on reproducing the figure from the provided data
---------------------------------------------------
Sections of the figure in the report were plotted using standard matplotlib software - code is available via the link in the documentation. Some data has been converted to net-CDF format for archival, original .mat files used in the plotting script are archived on Zenodo at the link provided in the Related Document 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 9)
- Link to the Supplementary Material for Chapter 9, which contains details on the input data used in Table 9.SM.9
- Link to the data and code used to produce this figure and others in Chapter 9, archived on Zenodo.
- Link to the output data for this figure, contained in a dedicated GitHub repository.

Citable as:  Doerr, J. (2023): Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.14 (v20220721). NERC EDS Centre for Environmental Data Analysis, 16 May 2023. doi:10.5285/e25c3cffd4ae4abc8b2ff9b755fce164. https://dx.doi.org/10.5285/e25c3cffd4ae4abc8b2ff9b755fce164
Abbreviation: Not defined
Keywords: IPCC-DDC, IPCC, AR6, WG1, WGI, Sixth Assessment Report, Working Group 1, Physical Science Basis, sea ice, sea-ice area

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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 curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).
Data converted to net-CDF format for archival by author.

Data Quality:
Data as provided by the IPCC
File Format:
Data are net-CDF and csv formatted

Process overview

This dataset was generated by the computation detailed below.
Title

Caption for Figure 9.14 from Chapter 9 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6)

Abstract

Monthly mean March (a–d) and September (e–h) sea ice area as a function of global surface air temperature (GSAT) anomaly (a, e); cumulative anthropogenic CO2 emissions (b, f); year (c, g) in Coupled Model Intercomparison Project Phase 6 (CMIP6) model simulations (shading, ensemble mean as bold line) and in observations (black dots). Panels (d) and (h) show the sensitivity of sea ice loss to anthropogenic CO2 emissions as a function of the modelled sensitivity of GSAT to anthropogenic CO2 emissions. In panels (d) and (h), the black dot denotes the observed sensitivity, while the shading around it denotes internal variability as inferred from CMIP6 simulations (after Notz and SIMIP Community, 2020). Further details on data sources and processing are available in the chapter data table (Table 9.SM.9).

Input Description

None

Output Description

None

Software Reference

None

  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: HadISST_nsidc
  • long_name: HadISST_nsidc monthly Arctic sea-ice area
  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: HadISST_orig
  • long_name: HadISST_orig monthly Arctic sea-ice area
  • var_id: gmst
  • var_id: gmst_co2
  • var_id: gmst_co2_allmember
  • var_id: gmst_co2_vari
  • var_id: model_names
  • var_id: model_number
  • var_id: month
  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: nsidc_bt
  • long_name: nsidc_bt monthly Arctic sea-ice area
  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: nsidc_nt
  • long_name: nsidc_nt monthly Arctic sea-ice area
  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: osisaf
  • long_name: osisaf monthly Arctic sea-ice area
  • var_id: product_names
  • var_id: product_number
  • var_id: sia_co2
  • var_id: sia_co2_allmember
  • var_id: sia_co2_vari
  • var_id: sia_mar_co2
  • var_id: sia_mar_co2_allmember
  • var_id: sia_mar_co2_vari
  • var_id: sia_nh
  • var_id: sie_nh
  • var_id: simulation
  • var_id: simulation_names
  • var_id: simulation_number
  • standard_name: sea_ice_area
  • units: 1e6 km2
  • var_id: walsh
  • long_name: walsh monthly Arctic sea-ice area
  • var_id: year

Co-ordinate Variables

  • long_name: time
  • standard_name: time
  • var_id: time
  • units: days
Coverage
Temporal Range
Start time:
1850-01-01T00:00:00
End time:
2100-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°
 
Related parties
Authors (1)