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Improving NO x emission estimates in Beijing using network observations and a perturbed emissions en...

Improving NO x emission estimates in Beijing using network observations and a perturbed emissions en...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_5194_acp_22_8617_2022

Improving NO x emission estimates in Beijing using network observations and a perturbed emissions ensemble

About this item

Full title

Improving NO x emission estimates in Beijing using network observations and a perturbed emissions ensemble

Journal title

Atmospheric chemistry and physics, 2022-07, Vol.22 (13), p.8617-8637

Language

English

Formats

More information

Scope and Contents

Contents

Emissions inventories are crucial inputs to air quality simulations and represent a major source of uncertainty. Various methods have been adopted to optimise emissions inventories, yet in most cases the methods were only applied to total anthropogenic emissions. We have developed a new approach that updates a priori emission estimates by source se...

Alternative Titles

Full title

Improving NO x emission estimates in Beijing using network observations and a perturbed emissions ensemble

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_5194_acp_22_8617_2022

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_5194_acp_22_8617_2022

Other Identifiers

ISSN

1680-7324

E-ISSN

1680-7324

DOI

10.5194/acp-22-8617-2022

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