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 ensemble
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Language
English
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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...
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Full title
Improving NO x emission estimates in Beijing using network observations and a perturbed emissions ensemble
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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
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ISSN
1680-7324
E-ISSN
1680-7324
DOI
10.5194/acp-22-8617-2022
