Articles | Volume 21, issue 12
Atmos. Chem. Phys., 21, 9573–9583, 2021
https://doi.org/10.5194/acp-21-9573-2021
Atmos. Chem. Phys., 21, 9573–9583, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ronald Cohen on behalf of the Authors (28 Mar 2021)  Author's response    Author's tracked changes
ED: Publish as is (18 Apr 2021) by Abhishek Chatterjee
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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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