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.

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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