Articles | Volume 15, issue 10
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


Total article views: 3,521 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,005 1,413 103 3,521 447 104 95
  • HTML: 2,005
  • PDF: 1,413
  • XML: 103
  • Total: 3,521
  • Supplement: 447
  • BibTeX: 104
  • EndNote: 95
Views and downloads (calculated since 09 Dec 2014)
Cumulative views and downloads (calculated since 09 Dec 2014)


Saved (final revised paper)

Saved (preprint)

Latest update: 15 Jun 2024
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.
Final-revised paper