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

Authors: Robin Lamboll; Piers Forster; Joeri Rogelj;

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

Abstract

Weekly NOx aviation emissions estimates for 2020 until 21/07/2020, modified by the country-specific impacts of COVID-19 lockdown. This repository holds the netcdf files for NOx 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 for 2020, with observation-based data up until the 5th of July and a fixed estimate thereafter. This is the weekly equivalent of the aviation file in https://zenodo.org/record/3951601#.XxYBsihKhPY for a shorter time period, although the version number is different since we have more information available and the normalisation process has been improved. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/ see https://github.com/Priestley-Centre/COVID19_emissions for more details on the methodology.

Country
United Kingdom
Related Organizations
Keywords

COVID-19, 600, NOx aviation emissions

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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