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.

Viewed

Total article views: 1,345 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,004 315 26 1,345 10 15
  • HTML: 1,004
  • PDF: 315
  • XML: 26
  • Total: 1,345
  • BibTeX: 10
  • EndNote: 15
Views and downloads (calculated since 13 Oct 2020)
Cumulative views and downloads (calculated since 13 Oct 2020)

Viewed (geographical distribution)

Total article views: 1,263 (including HTML, PDF, and XML) Thereof 1,260 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 May 2022
Download
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.
Altmetrics
Final-revised paper
Preprint