Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 12
Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-9573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 12
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

Model code and software

Scalable Implementations of Ensemble Filter Algorithms for Data Assimilation (https://github.com/NCAR/DART) J. Anderson and N. Collins https://doi.org/10.1175/JTECH2049.1

Description of the Advanced Research WRF Version 3 (No. NCAR/TN-475+STR) (https://github.com/NCAR?q=wrf&type=&language=&sort=, https://github.com/NCAR/WPS) W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. Barker, M. G. Duda, X. Huang, W. Wang, and J. G. Powers https://doi.org/10.5065/D68S4MVH

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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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