IPCC > Data for Figure SPM.2 - Summary for Policymakers of the Working Group III Contribution to the IPCC Sixth Assessment Report @ 441

Version: 0.0.1 | Published: 4 Apr 2022 | Updated: 1092 days ago

Data for Figure SPM.2 - Summary for Policymakers of the Working Group III Contribution to the IPCC Sixth Assessment Report

Dataset

Summary

Citation:

Lamb, W. F.; Niklas Döbbling; Michael Grubb; Arunima Malik; Jan Minx; Shonali Pachauri, 2022, Data for Figure SPM.2 - Summary for Policymakers of the Working Group III Contribution to the IPCC Sixth Assessment Report, MetadataWorks, https://doi.org/10.48490/g19x-6k84

DOI Name:

https://doi.org/10.48490/g19x-6k84

Documentation

Description:

Figure caption: Panel a shows global net anthropogenic GHG emissions by region (in GtCO2-eq yr-1 (GWP100 AR6)) for the time period 1990–2019 [FOOTNOTE 6]. Percentage values refer to the contribution of each region to total GHG emissions in each respective time period. The single year peak of emissions in 1997 was due to higher CO2-LULUCF emissions from a forest and peat fire event in South East Asia. Regions are as grouped in Annex II. Panel b shows the share of historical cumulative net anthropogenic CO2 emissions per region from 1850 to 2019 in GtCO2. This includes CO2 from fossil fuel combustion and industrial processes (CO2-FFI) and net CO2 Land use, land use change, forestry (CO2-LULUCF). Other GHG emissions are not included [FOOTNOTE 6]. CO2-LULUCF emissions are subject to high uncertainties, reflected by a global uncertainty estimate of ± 70% (90% confidence interval). Panel c shows the distribution of regional GHG emissions in tonnes CO2-eq per capita by region in 2019. GHG emissions are categorised into: CO2-FFI, net CO2-LULUCF and other GHG emissions (methane, nitrous oxide, fluorinated gases, expressed in CO2-eq using GWP100-AR6). The height of each rectangle shows per-capita emissions, the width shows the population of the region, so that the area of the rectangles refers to the total emissions for each region. Emissions from international aviation and shipping are not included. In the case of two regions, the area for CO2-LULUCF is below the axis, indicating net CO2 removals rather than emissions. CO2-LULUCF emissions are subject to high uncertainties, reflected by a global uncertainty estimate of ± 70% (90% confidence interval). Panel d shows population, GDP per person, emission indicators by region in 2019 for percentage GHG contributions, total GHG per person, and total GHG emissions intensity, together with production-based and consumption-based CO2-FFI data, which is assessed in this report up to 2018. Consumption-based emissions are emissions released to the atmosphere in order to generate the goods and services consumed by a certain entity (e.g., region). Emissions from international aviation and shipping are not included. {1.3, Figure 1.2, 2.2, Figure 2.9, Figure 2.10, Figure 2.11, Annex II}

Is Part Of:

Summary for Policymakers of the Working Group III Contribution to the IPCC AR6

Coverage

Spatial Aggregation:

Region

Spatial Coverage:

Global

Start Date:

01 January 1990

End Date:

31 December 2019

Geographic Bounding Box

Lower Left Latitude:

-90.0000

Lower Left Longitude:

-180.0000

Upper Right Latitude:

90.0000

Upper Right Longitude:

180.0000

Provenance

Source:

Panel a: Minx, J. C., Lamb, W. F., Andrew, R. M., Canadell, J. G., Crippa, M., Döbbeling, N., Forster, P. M., Guizzardi, D., Olivier, J., Peters, G. P., Pongratz, J., Reisinger, A., Rigby, M., Saunois, M., Smith, S. J., Solazzo, E., & Tian, H. (2021). A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019. Earth System Science Data, 13, 5213–5252. https://doi.org/10.5194/essd-13-5213-2021 AR7 Scenario database. Data processing or treatment: • We apply global warming potential values with a 100 year time horizon • We calculate the average annual change in emissions using the method described in Annex II • We group scenario categories according to the classification described in TS Table 3 • We select only scenarios within the 5th and 95th percentiles of each scenario category Our code is available online: https://github.com/mcc-apsis/AR6-Emissions-trends-and-drivers/blob/master/R/Analysis%20and%20figures/emissions_by_region.Rmd Panel b: Friedlingstein, P., Sullivan, M. O., Jones, M. W., Andrew, R. M., & Hauck, J. (2020). Global Carbon Budget 2020. Earth System Science Data, 12, 3269–3340. https://doi.org/10.5194/essd-12-3269-2020 We convert the original units from GtC to GtCO2 by multiplying by 44/12 Panel c and d: Emissions data based on data from EDGAR (2021), EDGARv6 release. All rights reserved Population data from World Bank. (2021). World Bank Development Indicators. Retrieved March 12, 2021, from http://data.worldbank.org/ The figure is based on the following data from EDGAR data source above: CO2-FFI CO2-LULUCF Other GHG The following numbers are included in the graph: Cumulative population and per-capita emissions data for all 10 regions , calculated based on emissions data from EDGAR and population data from the World Bank, both provided in the ipcc_ar6_data_edgar6_countries file on the Document Manager Emissions data based on data from EDGAR (2021), EDGARv6 release. All rights reserved. Also published as: Minx, J. C.W. F. Lamb. M. Andrew. G. Canadell. Crippa. Döbbeling… H. Tian, 2021: A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019. Earth Syst. Sci. Data, 13, 5213–5252, 38 doi:10.5194/essd-13-5213-2021.

Purpose:

Data used by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving to MetadataWorks Ltd by the Technical Support Unit (TSU) for IPCC Working Group III (WG III).