Articles | Volume 24, issue 7
https://doi.org/10.5194/acp-24-4253-2024
https://doi.org/10.5194/acp-24-4253-2024
Research article
 | 
09 Apr 2024
Research article |  | 09 Apr 2024

Identifying episodic carbon monoxide emission events in the MOPITT measurement dataset

Paul S. Jeffery, James R. Drummond, Jiansheng Zou, and Kaley A. Walker

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Cited articles

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Short summary
The MOPITT instrument has been monitoring carbon monoxide (CO) since March 2000. This dataset has been used for many applications; however, episodic emission events, which release large amounts of CO into the atmosphere, are a major source of uncertainty. This study presents a method for identifying these events by determining measurements that are unlikely to have typically arisen. The distribution and frequency of these flagged measurements in the MOPITT dataset are presented and discussed.
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