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Dataset . 2020
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
Data sources: Sygma
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CO2 emissions changes due to COVID-19: modified SSP2-4.5 to account for sector activity level

Authors: Lamboll, Robin; Forster, Piers; Rogelj, Joeri;

CO2 emissions changes due to COVID-19: modified SSP2-4.5 to account for sector activity level

Abstract

Monthly CO2 emission projections, modified by the country-specific impacts of COVID-19 lockdown. This repository holds the netcdf files for CO2 emissions projected by the scenario SSP2-4.5, from the Scenario4MIPs database ( https://esgf-node.llnl.gov/search/input4mips/), modified by the country and sector activity levels associated with lockdown, projected out for 3 years after 2020 before returning to baseline. The details of these activity estimates can be found in https://github.com/Priestley-Centre/COVID19_emissions. The methodology behind these calculations is based on https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/, a slight modification of the approach used in https://zenodo.org/record/3947917#.XxR_qyhKhPZ for aerosols emissions, and version numbers used here are consistent with the data seen in that database. We present only a single scenario (called 2-year blip, featuring a one year recovery after the end of the 2 years) compared to the baseline. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/

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Keywords

COVID-19, CO2 emissions

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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