Identifying missing sources and reducing NO<sub><i>x</i></sub> emissions uncertainty over China using daily satellite data and a mass-conserving method
<p>This study applies a mass-conserving model-free analytical approach to daily observations on a grid-by-grid basis of NO<span class="inline-formula"><sub>2</sub></span> from the Tropospheric Monitoring Instrument (TROPOMI) to rapidly and flexibly quantify ch...
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| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-02-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/25/2291/2025/acp-25-2291-2025.pdf |
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