A Comparison of Regression Methods for Inferring Near‐Surface NO2 With Satellite Data

Nitrogen dioxide (NO2) is an atmospheric pollutant emitted from anthropogenic and natural sources. Human exposure to high NO2 concentrations causes cardiovascular and respiratory illnesses. The Environmental Protection Agency operates ground monitors across the U.S. which take hourly measurements of...

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Veröffentlicht in:	Journal of geophysical research. Atmospheres 2024-08, Vol.129 (16), p.n/a
Hauptverfasser:	Kim, Eliot J., Holloway, Tracey, Kokandakar, Ajinkya, Harkey, Monica, Elkins, Stephanie, Goldberg, Daniel L., Heck, Colleen
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Air pollution Air quality Anthropogenic factors Earth surface Environmental monitoring Environmental protection Gaussian distribution High resolution Illnesses Land use Monitoring instruments Monitors Multivariate analysis Nitrogen Nitrogen dioxide NO2 Normal distribution Ozone Ozone monitoring Pollutants Pollution sources regression Regression analysis Regression models Respiratory diseases Respiratory disorders satellite Satellite data Satellite instruments Satellite observation Satellites Spacecraft recovery Spatial data Spatial discrimination Spatial distribution Spatial resolution Statistical analysis TROPOMI Tropospheric ozone
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