Identifying missing sources and reducing NO<sub><i>x</i></sub> emissions uncertainty over China using daily satellite data and a mass-conserving method

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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Bibliographic Details
Main Authors:	L. Lu, J. B. Cohen, K. Qin, X. Li, Q. He
Format:	Article
Language:	English
Published:	Copernicus Publications 2025-02-01
Series:	Atmospheric Chemistry and Physics
Online Access:	https://acp.copernicus.org/articles/25/2291/2025/acp-25-2291-2025.pdf
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