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Algorithm for NO2 Vertical Column Retrieval from the Ozone Monitoring InstrumentWe 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 NO 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.
Document ID
20070031225
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Bucsela, Eric J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Celarier, Edward A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Wenig, Mark O.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Gleason, James F.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Veefkind, J. Pepijn
(Royal Netherlands Meteorological Inst. De Bilt, Netherlands)
Boersma, K. Folkert
(Royal Netherlands Meteorological Inst. De Bilt, Netherlands)
Brinksma, Ellen J.
(Royal Netherlands Meteorological Inst. De Bilt, Netherlands)
Date Acquired
August 23, 2013
Publication Date
May 1, 2006
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Publisher: Institute of Electrical and Electronics Engineers
Volume: 44
Issue: 5
ISSN: 0196-2892
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Other

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