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Title: Multispectrum analysis of the oxygen A-band

Abstract

Retrievals of atmospheric composition from near-infrared measurements require measurements of airmass to better than the desired precision of the composition. The oxygen bands are obvious choices to quantify airmass since the mixing ratio of oxygen is fixed over the full range of atmospheric conditions. The OCO-2 mission is currently retrieving carbon dioxide concentration using the oxygen A-band for airmass normalization. The 0.25% accuracy desired for the carbon dioxide concentration has pushed the required state-of-the-art for oxygen spectroscopy. To measure O2 A-band cross-sections with such accuracy through the full range of atmospheric pressure requires a sophisticated line-shape model (Rautian or Speed-Dependent Voigt) with line mixing (LM) and collision induced absorption (CIA). Models of each of these phenomena exist, however, this work presents an integrated self-consistent model developed to ensure the best accuracy. It is also important to consider multiple sources of spectroscopic data for such a study in order to improve the dynamic range of the model and to minimize effects of instrumentation and associated systematic errors. The techniques of Fourier Transform Spectroscopy (FTS) and Cavity Ring-Down Spectroscopy (CRDS) allow complimentary information for such an analysis. We utilize multispectrum fitting software to generate a comprehensive new database with improved accuracy basedmore » on these datasets. As a result, the extensive information will be made available as a multi-dimensional cross-section (ABSCO) table and the parameterization will be offered for inclusion in the HITRANonline database.« less

Authors:
 [1];  [2];  [1];  [1];  [1];  [2];  [1];  [3];  [4];  [5];  [1];  [1];  [1];  [6];  [1]
+ Show Author Affiliations
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  2. College of William and Mary, Williamsburg, VA (United States)
  3. National Institute of Standards and Technology, Gaithersburg, MD (United States)
  4. Atmospheric and Environmental Research, Lexington, MA (United States)
  5. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  6. Univ. of California, Berkeley, CA (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1331969
Alternate Identifier(s):
OSTI ID: 1413541
Report Number(s):
NREL/JA-5100-65681
Journal ID: ISSN 0022-4073
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Quantitative Spectroscopy and Radiative Transfer
Additional Journal Information:
Journal Volume: 186; Journal ID: ISSN 0022-4073
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; oxygen; atmospheric absorption; collision-induced absorption; multispectrum fitting; spectral lineshapes

Citation Formats

Drouin, Brian J., Benner, D. Chris, Brown, Linda R., Cich, Matthew J., Crawford, Timothy J., Devi, V. Malathy, Guillaume, Alexander, Hodges, Joseph T., Mlawer, Eli J., Robichaud, David J., Oyafuso, Fabiano, Payne, Vivienne H., Sung, Keeyoon, Wishnow, Edward H., and Yu, Shanshan. Multispectrum analysis of the oxygen A-band. United States: N. p., 2016. Web. doi:10.1016/j.jqsrt.2016.03.037.
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Drouin, Brian J., Benner, D. Chris, Brown, Linda R., Cich, Matthew J., Crawford, Timothy J., Devi, V. Malathy, Guillaume, Alexander, Hodges, Joseph T., Mlawer, Eli J., Robichaud, David J., Oyafuso, Fabiano, Payne, Vivienne H., Sung, Keeyoon, Wishnow, Edward H., & Yu, Shanshan. Multispectrum analysis of the oxygen A-band. United States. https://doi.org/10.1016/j.jqsrt.2016.03.037
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Drouin, Brian J., Benner, D. Chris, Brown, Linda R., Cich, Matthew J., Crawford, Timothy J., Devi, V. Malathy, Guillaume, Alexander, Hodges, Joseph T., Mlawer, Eli J., Robichaud, David J., Oyafuso, Fabiano, Payne, Vivienne H., Sung, Keeyoon, Wishnow, Edward H., and Yu, Shanshan. Mon . "Multispectrum analysis of the oxygen A-band". United States. https://doi.org/10.1016/j.jqsrt.2016.03.037. https://www.osti.gov/servlets/purl/1331969.
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@article{osti_1331969,
title = {Multispectrum analysis of the oxygen A-band},
author = {Drouin, Brian J. and Benner, D. Chris and Brown, Linda R. and Cich, Matthew J. and Crawford, Timothy J. and Devi, V. Malathy and Guillaume, Alexander and Hodges, Joseph T. and Mlawer, Eli J. and Robichaud, David J. and Oyafuso, Fabiano and Payne, Vivienne H. and Sung, Keeyoon and Wishnow, Edward H. and Yu, Shanshan},
abstractNote = {Retrievals of atmospheric composition from near-infrared measurements require measurements of airmass to better than the desired precision of the composition. The oxygen bands are obvious choices to quantify airmass since the mixing ratio of oxygen is fixed over the full range of atmospheric conditions. The OCO-2 mission is currently retrieving carbon dioxide concentration using the oxygen A-band for airmass normalization. The 0.25% accuracy desired for the carbon dioxide concentration has pushed the required state-of-the-art for oxygen spectroscopy. To measure O2 A-band cross-sections with such accuracy through the full range of atmospheric pressure requires a sophisticated line-shape model (Rautian or Speed-Dependent Voigt) with line mixing (LM) and collision induced absorption (CIA). Models of each of these phenomena exist, however, this work presents an integrated self-consistent model developed to ensure the best accuracy. It is also important to consider multiple sources of spectroscopic data for such a study in order to improve the dynamic range of the model and to minimize effects of instrumentation and associated systematic errors. The techniques of Fourier Transform Spectroscopy (FTS) and Cavity Ring-Down Spectroscopy (CRDS) allow complimentary information for such an analysis. We utilize multispectrum fitting software to generate a comprehensive new database with improved accuracy based on these datasets. As a result, the extensive information will be made available as a multi-dimensional cross-section (ABSCO) table and the parameterization will be offered for inclusion in the HITRANonline database.},
doi = {10.1016/j.jqsrt.2016.03.037},
journal = {Journal of Quantitative Spectroscopy and Radiative Transfer},
number = ,
volume = 186,
place = {United States},
year = {Mon Apr 11 00:00:00 EDT 2016},
month = {Mon Apr 11 00:00:00 EDT 2016}
}
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