Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 5
Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-2983-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-2983-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 5
Research article
 | 
22 May 2018
Research article |  | 22 May 2018

Assessing snow extent data sets over North America to inform and improve trace gas retrievals from solar backscatter

Matthew J. Cooper, Randall V. Martin, Alexei I. Lyapustin, and Chris A. McLinden

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Short summary
To accurately infer air pollutant concentrations from satellite observations, we must first know the reflectivity of the Earth’s surface. Using a model, we show that satellite observations are better able to observe NO2 near the surface if snow is present. However, knowing when snow is present is difficult due to its variability. We test seven existing snow cover data sets to assess their ability to inform future satellite observations and find that the IMS data set is best suited for this task.
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