DocumentCode :
918494
Title :
Algorithm for NO2 vertical column retrieval from the ozone monitoring instrument
Author :
Bucsela, Eric J. ; Celarier, Edward A. ; Wenig, Mark O. ; Gleason, James F. ; Veefkind, J. Pepijn ; Boersma, K. Folkert ; Brinksma, Ellen J.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume :
44
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
1245
Lastpage :
1258
Abstract :
We describe the operational algorithm for the retrieval of stratospheric, tropospheric, and total column densities of nitrogen dioxide (NO2) from earthshine radiances measured by the Ozone Monitoring Instrument (OMI), aboard the EOS-Aura satellite. The algorithm uses the DOAS method for the retrieval of slant column NO2 densities. Air mass factors (AMFs) calculated from a stratospheric NO2 profile are used to make initial estimates of the vertical column density. Using data collected over a 24-h period, a smooth estimate of the global stratospheric field is constructed. Where the initial vertical column densities exceed the estimated stratospheric field, we infer the presence of tropospheric NO2, and recalculate the vertical column density (VCD) using an AMF calculated from an assumed tropospheric NO2 profile. The parameters that control the operational algorithm were selected with the aid of a set of data assembled from stratospheric and tropospheric chemical transport models. We apply the optimized algorithm to OMI data and present global maps of NO2 VCDs for the first time.
Keywords :
aerospace instrumentation; artificial satellites; atmospheric composition; atmospheric measuring apparatus; data acquisition; nitrogen compounds; stratosphere; troposphere; EOS-Aura satellite; NO2; Ozone Monitoring Instrument; air mass factor; atmospheric chemical transport models; earthshine radiances; nitrogen dioxide vertical column density; stratosphere; total column density; troposphere; Atmospheric measurements; Density measurement; Instruments; Monitoring; Nitrogen; Pollution measurement; Production; Satellites; Spatial resolution; Terrestrial atmosphere; Algorithm; Ozone Monitoring Instrument (OMI); nitrogen dioxide; troposphere;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2005.863715
Filename :
1624603
Link To Document :
بازگشت