Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9573-2021
https://doi.org/10.5194/acp-21-9573-2021
Research article
 | 
24 Jun 2021
Research article |  | 24 Jun 2021

The potential for geostationary remote sensing of NO2 to improve weather prediction

Xueling Liu, Arthur P. Mizzi, Jeffrey L. Anderson, Inez Fung, and Ronald C. Cohen

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Latest update: 05 Dec 2024
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Short summary
Observations of winds in the planetary boundary layer remain sparse, making it challenging to simulate and predict the atmospheric conditions that are most important for describing and predicting urban air quality. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.
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