Articles | Volume 15, issue 10
https://doi.org/10.5194/acp-15-5627-2015
https://doi.org/10.5194/acp-15-5627-2015
Research article
 | 
21 May 2015
Research article |  | 21 May 2015

Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model

G. Kuhlmann, Y. F. Lam, H. M. Cheung, A. Hartl, J. C. H. Fung, P. W. Chan, and M. O. Wenig

Viewed

Total article views: 3,695 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,105 1,469 121 3,695 461 115 103
  • HTML: 2,105
  • PDF: 1,469
  • XML: 121
  • Total: 3,695
  • Supplement: 461
  • BibTeX: 115
  • EndNote: 103
Views and downloads (calculated since 09 Dec 2014)
Cumulative views and downloads (calculated since 09 Dec 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 23 Nov 2024
Download
Short summary
Regional NO2 distributions can be simulated by models or retrieved from satellite observations. We developed a custom OMI NO2 data product for the Pearl River delta region which reduces biases compared to the standard product. The product is used for the evaluation of a regional air quality model for which it is a useful addition to ground measurements. The unbiased NO2 data product can be very helpful for air pollution studies in urban areas.
Altmetrics
Final-revised paper
Preprint