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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gerrit Kuhlmann on behalf of the Authors (20 Apr 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (20 Apr 2015) by Alex B. Guenther
RR by Farren Herron-Thorpe (29 Apr 2015)
ED: Publish as is (05 May 2015) by Alex B. Guenther
AR by Gerrit Kuhlmann on behalf of the Authors (06 May 2015)
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