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Channel selection using information content analysis: A case study of CO_2 retrieval from near infrared measurements

Kuai, Le and Natraj, Vijay and Shia, Run-Lie and Miller, Charles and Yung, Yuk L. (2010) Channel selection using information content analysis: A case study of CO_2 retrieval from near infrared measurements. Journal of Quantitative Spectroscopy and Radiative Transfer, 111 (9). pp. 1296-1304. ISSN 0022-4073. http://resolver.caltech.edu/CaltechAUTHORS:20140822-105055535

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Abstract

A major challenge in retrieving CO_2 concentrations from thermal infrared remote sensing comes from the fact that measurements in the 4.3 and 15 μm absorption bands (AIRS or TES) are sensitive to both temperature and CO_2 variations. This complicates the selection of absorption channels with maximum CO_2 concentration information content. In contrast, retrievals using near infrared (NIR) CO_2 absorption bands are relatively insensitive to temperature and are most sensitive to changes of CO_2 near the surface, where the sources and sinks are located. The Orbiting Carbon Observatory (OCO) was built to measure reflected sunlight in three NIR spectral regions (the 0.76 μm O_2 A-band and two CO_2 bands at 1.61 and 2.06 μm). In an effort to significantly increase the speed of accurate CO_2 retrieval algorithms for OCO, we performed an information content analysis to identify the 20 best channels from each CO_2 spectral region to use in OCO retrievals. Retrievals using these 40 channels provide as much as 75% of the total CO_2 information content compared to retrievals using all 1016 channels in each spectral region. The CO_2 retrievals using our selected channels have a precision better than 0.1 ppm. This technique can be applied to the retrieval of other geophysical variables (e.g., temperature or CH_4), or modified for other instruments, such as AIRS or TES.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://www.sciencedirect.com/science/article/pii/S0022407310000828PublisherArticle
http://dx.doi.org/10.1016/j.jqsrt.2010.02.011DOIArticle
ORCID:
AuthorORCID
Natraj, Vijay0000-0003-3154-9429
Alternate Title:Channel selection using information content analysis: A case study of CO2 retrieval from near infrared measurements
Additional Information:© 2010 Elsevier Ltd. Received 30 October 2009, Revised 21 February 2010, Accepted 22 February 2010, Available online 26 February 2010. Special Issue Dedicated to Laurence S. Rothman on the Occasion of his 70th Birthday. This research is supported by the Orbiting Carbon Observatory (OCO) project, a NASA Earth System Science Pathfinder (ESSP) mission. The authors would like to thank Denis O’Brien, Igor Polonsky and Chris O’Dell from Colorado State University for providing us the orbit simulator code and for helping with its development and maintenance, and James McDuffie from the Jet Propulsion Laboratory (JPL) for providing covariance information.
Funders:
Funding AgencyGrant Number
Orbiting Carbon Observatory (OCO) UNSPECIFIED
NASA Earth System Science Pathfinder (ESSP) Mission UNSPECIFIED
Subject Keywords:Retrieval; Channel selection; Information analysis; Carbon dioxide
Record Number:CaltechAUTHORS:20140822-105055535
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140822-105055535
Official Citation:Le Kuai, Vijay Natraj, Run-Lie Shia, Charles Miller, Yuk L. Yung, Channel selection using information content analysis: A case study of CO2 retrieval from near infrared measurements, Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 111, Issue 9, June 2010, Pages 1296-1304, ISSN 0022-4073, http://dx.doi.org/10.1016/j.jqsrt.2010.02.011. (http://www.sciencedirect.com/science/article/pii/S0022407310000828)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:48810
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:22 Aug 2014 18:16
Last Modified:15 Nov 2017 00:43

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