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Title: Multispectrum analysis of the oxygen A-band

Journal Article · · Journal of Quantitative Spectroscopy and Radiative Transfer
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  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)

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.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1331969
Alternate ID(s):
OSTI ID: 1413541
Report Number(s):
NREL/JA-5100-65681
Journal Information:
Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 186; ISSN 0022-4073
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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Cited By (9)

Reevaluating the Use of O 2   a 1 Δ g Band in Spaceborne Remote Sensing of Greenhouse Gases journal June 2018
Using a speed-dependent Voigt line shape to retrieve O 2 from Total Carbon Column Observing Network solar spectra to improve measurements of XCO 2 journal January 2019
Quantification of uncertainties in OCO-2 measurements of XCO2: simulations and linear error analysis journal January 2016
OH radical measurements in combustion environments using wavelength modulation spectroscopy and dual-frequency comb spectroscopy near 1491 nm journal November 2019
O2−O2 and O2−N2 collision-induced absorption mechanisms unravelled journal April 2018
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm journal January 2018
Marine liquid cloud geometric thickness retrieved from OCO-2's oxygen A-band spectrometer journal January 2019
MARVEL Analysis of the Measured High-Resolution Rovibronic Spectra and Definitive Ideal-Gas Thermochemistry of the 16 O 2 Molecule journal June 2019
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm text January 2018

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