16 June 2014 Global variability of midtropospheric carbon dioxide as measured by the Atmospheric Infrared Sounder
Thomas S. Pagano, Edward T. Olsen, Hai Nguyen, Alexander Ruzmaikin, Xun Jiang, Lori Perkins
Author Affiliations +
Abstract
The Atmospheric Infrared Sounder (AIRS) on the EOS Aqua spacecraft provides accurate and consistent measurements of midtropospheric carbon dioxide (CO 2 ) with global monthly coverage. The data are widely used for studies of vertical transport of CO 2 due to large-scale dynamics (e.g., ENSO, MJO, and the Walker Circulation). The purpose of this paper is to characterize the response of CO 2 in the midtroposphere, at the altitudes where AIRS is most sensitive, to geophysical changes at the surface across the globe. Our findings confirm that surface factors, as well as weather and climate patterns, impact the global variability of midtropospheric CO 2 as observed by AIRS. Despite a phase lag and a reduction in the seasonal amplitude observed in AIRS CO 2 relative to surface CO 2 measurements in the Northern Hemisphere, a significant correlation is observed between regional variability of CO 2[/sub] from AIRS and Moderate Resolution Imaging Spectroradiometer (MODIS)-derived Gross Primary Productivity at the surface, primarily in the high-latitude boreal forests during the peak of the growing season (July). A video of global AIRS CO 2 and MODIS vegetation index clearly shows the seasonal drawdown of CO 2 from the midtroposphere over highly vegetated areas in the northern latitudes. In the Southern Hemisphere, we see higher amplitude in the seasonal cycle, with the phase leading that of the surface. Both are indicative of interhemispheric transport.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
Thomas S. Pagano, Edward T. Olsen, Hai Nguyen, Alexander Ruzmaikin, Xun Jiang, and Lori Perkins "Global variability of midtropospheric carbon dioxide as measured by the Atmospheric Infrared Sounder," Journal of Applied Remote Sensing 8(1), 084984 (16 June 2014). https://doi.org/10.1117/1.JRS.8.084984
Published: 16 June 2014
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Cited by 10 scholarly publications.
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KEYWORDS
Carbon monoxide

Climatology

Infrared radiation

MODIS

Data modeling

Carbon dioxide

Vegetation

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