Improving NO<sub><i>x</i></sub> emission estimates in Beijing using network observations and a perturbed emissions ensemble
<p>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 app...
| Published in: | Atmospheric Chemistry and Physics |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-07-01
|
| Online Access: | https://acp.copernicus.org/articles/22/8617/2022/acp-22-8617-2022.pdf |
