
Proceedings Paper
Local, regional, and global views of tropospheric carbon monoxide from the Atmospheric Infrared Sounder (AIRS)Format | Member Price | Non-Member Price |
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Paper Abstract
More than five years of CO retrievals from the Atmospheric InfraRed Sounder (AIRS) onboard NASA's
Aqua satellite reveal variations in tropospheric CO on timescales from twelve hours to five years and on
spatial scales from local to global. The shorter timescales are invaluable to monitor daily variations in
CO emissions, to enable three-dimensional tracking of atmospheric motions, and to enhance insights into
atmospheric mixing. Previous studies have utilized AIRS CO retrievals over the course of days to weeks
to track plumes from large forest fires. On the local scale, we will present AIRS observations of pollution
from several northern hemisphere Megacities. On the regional scale, we will present AIRS observations
of the Mexico City pollution plume. We will illustrate global scale AIRS CO observations of interannual
variations linked to the influence of large-scale atmospheric perturbations from the El Nino Southern
Oscillation (ENSO). In particular, we observe a quasi-biennial variation in CO emissions from Indonesia
with varying magnitudes in peak emission occurring in 2002, 2004, and 2006. Examining satellite
rainfall measurements over Indonesia, we find the enhanced CO emission correlates with occasions of
less rainfall during the month of October. Continuing this satellite record of tropospheric CO with
measurements from the European IASI instrument will permit construction of a long time-series useful
for further investigations of climatological variations in CO emissions and their impact on the health of
the atmosphere.
Paper Details
Date Published: 5 May 2008
PDF: 11 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 696615 (5 May 2008); doi: 10.1117/12.776983
Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 11 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 696615 (5 May 2008); doi: 10.1117/12.776983
Show Author Affiliations
W. Wallace McMillan, Univ. of Maryland, Baltimore County (United States)
Leonid Yurganov, Univ. of Maryland, Baltimore County (United States)
Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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