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Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Claim

NOx Emission Changes over China during the COVID-19 Epidemic Inferred from Surface NO2 Observations

Research datakeyboard_double_arrow_right Dataset 15 May 2020Publisher:Zenodo
Authors: Shuzhuang Feng;

doi: 10.5281/zenodo.4049744 , 10.5281/zenodo.3828967 , 10.5281/zenodo.3828968

NOx Emission Changes over China during the COVID-19 Epidemic Inferred from Surface NO2 Observations

Abstract

obs_assimilation.csv and obs_verification.csv include assimilated and verified observations from 7 January ~ 29 February 2020, respectively. emission.tar.gz includes inferred daily posterior NOx emissions from 10 January ~ 29 February 2020.

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Keywords

inversion, COVID-19, NOx emission changes, WRF/CMAQ model, EnKF data assimilation

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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Corona Virus Disease