The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Satellite AOD and Low-Cost Sensor Integration with Machine Learning for PM<sub>2.5 </sub>Prediction in Complex Terrain (AGU25)

Satellite AOD and Low-Cost Sensor Integration with Machine Learning for PM2.5 Prediction in Complex Terrain

Celime Garcia, Desert Research Institute Reno, Division of Atmospheric Science, Reno, United States, Yeongkwon Son, Desert Research Institute, Reno, United States, Patrick Arnott, University of Nevada Reno, Physics Department, Reno, United States and Dr. Yeongkwon Son and Dr. W Patrick Arnott