Retrievals of atmospheric CO_2 from simulated space-borne measurements of backscattered near-infrared sunlight: accounting for aerosol effects
Abstract
Retrievals of atmospheric carbon dioxide (CO_2) from space-borne measurements of backscattered near-infrared sunlight are hampered by aerosol and cirrus cloud scattering effects. We propose a retrieval approach that allows for the retrieval of a few effective aerosol parameters simultaneously with the CO_2 total column by parameterizing particle amount, height distribution, and microphysical properties. Two implementations of the proposed method covering different spectral bands are tested for an ensemble of simulated nadir observations for aerosol (and cirrus) loaded scenes over low- and mid-latitudinal land surfaces. The residual aerosol-induced CO_2 errors are mostly below 1% up to aerosol optical thickness 0.5. The proposed methods also perform convincing for scenes where cirrus clouds of optical thickness 0.1 overlay the aerosol.
Additional Information
© 2009 Optical Society of America. Received 17 March 2009; revised 22 May 2009; accepted 26 May 2009; posted 28 May 2009 (Doc. ID 108889); published 10 June 2009. Part of this research was supported by the Dutch User Support Programme 2001-2005 under project GO-2005/064. The cirrus cloud model is a courtesy of the Royal Dutch Meteorological Institute (KNMI) through Wouter Knap. ECHAM5-HAM model output is provided by Gerrit de Leeuw, Finnish Meteorological Institute (FMI). MODIS data are distributed by the Land Processes Distributed Active Archive Center (LP DAAC), located at the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS).Attached Files
Published - ao-48-18-3322.pdf
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Additional details
- Eprint ID
- 57429
- Resolver ID
- CaltechAUTHORS:20150512-075358293
- Dutch User Support Programme 2001-2005
- GO-2005/064
- Created
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2015-05-12Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field
- Caltech groups
- Division of Geological and Planetary Sciences (GPS)