Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra

A quadratic speed-dependent Voigt (qSDV) line shape with line mixing (LM) has been implemented into the forward model of the spectral fitting software GFIT to improve the retrievals of total columns of CO2, CH4, and O2 from high-resolution ground-based solar absorption spectra. Absorption coefficien...

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Bibliographic Details
Main Author: Mendonca, Joseph Sam
Other Authors: Strong, Kimberly, Physics
Format: Thesis
Language:unknown
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/1807/80207
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author Mendonca, Joseph Sam
author2 Strong, Kimberly
Physics
author_facet Mendonca, Joseph Sam
author_sort Mendonca, Joseph Sam
collection University of Toronto: Research Repository T-Space
description A quadratic speed-dependent Voigt (qSDV) line shape with line mixing (LM) has been implemented into the forward model of the spectral fitting software GFIT to improve the retrievals of total columns of CO2, CH4, and O2 from high-resolution ground-based solar absorption spectra. Absorption coefficients were calculated using the qSDV+LM spectral line shape with spectroscopic parameters for the strong 20013←00001 CO2 band centered at 4850 cm-1, the weak 30013←00001 and 30012←00001 CO2 bands centered at 6220 cm-1 and 6340 cm-1 respectively, as well as the 2ν3 band of CH4. Absorption coefficient calculations were validated using laboratory spectra of CO2 and CH4. Laboratory spectra were modeled better with the qSDV+LM when compared to using the Voigt spectral line shape. The qSDV was used to fit air-broadened, room-temperature, cavity ring-down spectra of the a^1 ∆_g←X^3 Σ_g^- O2 band. It was shown that the Voigt line shape is inadequate to model the spectral lines of this O2 band and that speed-dependent effects need to be taken into account. Spectroscopic parameters of the discrete spectral lines of the O2 a^1 ∆_g←X^3 Σ_g^- band were retrieved and implemented in GFIT. A year of ground-based solar absorption spectra acquired at Eureka (Nunavut, Canada), Park Falls (Wisconsin, USA), Lamont (Oklahoma, USA), and Darwin (Northern Territory, Australia) were processed using GFIT. Total columns of CO2, CH4, and O2 were retrieved using absorption coefficients calculated assuming a Voigt spectral line shape and the qSDV+LM (with LM used when applicable). With the qSDV+LM, spectral fits of CO2 and CH4 improved as a function of solar zenith angle. The airmass dependence of the retrieved columns of CO2, CH4, and O2, as well as the column-averaged dry-air mole-fraction of CO2 (XCO2) decreased while the accuracy of XCO2 improved. Ph.D.
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spelling ftunivtoronto:oai:localhost:1807/80207 2025-01-16T21:46:45+00:00 Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra Mendonca, Joseph Sam Strong, Kimberly Physics 2017-11-20T21:00:12Z http://hdl.handle.net/1807/80207 unknown http://hdl.handle.net/1807/80207 Fourier Transform Spectrometers Greenhouse Gases Radiative Transfer Remote sensing Spectral line shape Spectroscopy 0605 Thesis 2017 ftunivtoronto 2020-06-17T12:07:54Z A quadratic speed-dependent Voigt (qSDV) line shape with line mixing (LM) has been implemented into the forward model of the spectral fitting software GFIT to improve the retrievals of total columns of CO2, CH4, and O2 from high-resolution ground-based solar absorption spectra. Absorption coefficients were calculated using the qSDV+LM spectral line shape with spectroscopic parameters for the strong 20013←00001 CO2 band centered at 4850 cm-1, the weak 30013←00001 and 30012←00001 CO2 bands centered at 6220 cm-1 and 6340 cm-1 respectively, as well as the 2ν3 band of CH4. Absorption coefficient calculations were validated using laboratory spectra of CO2 and CH4. Laboratory spectra were modeled better with the qSDV+LM when compared to using the Voigt spectral line shape. The qSDV was used to fit air-broadened, room-temperature, cavity ring-down spectra of the a^1 ∆_g←X^3 Σ_g^- O2 band. It was shown that the Voigt line shape is inadequate to model the spectral lines of this O2 band and that speed-dependent effects need to be taken into account. Spectroscopic parameters of the discrete spectral lines of the O2 a^1 ∆_g←X^3 Σ_g^- band were retrieved and implemented in GFIT. A year of ground-based solar absorption spectra acquired at Eureka (Nunavut, Canada), Park Falls (Wisconsin, USA), Lamont (Oklahoma, USA), and Darwin (Northern Territory, Australia) were processed using GFIT. Total columns of CO2, CH4, and O2 were retrieved using absorption coefficients calculated assuming a Voigt spectral line shape and the qSDV+LM (with LM used when applicable). With the qSDV+LM, spectral fits of CO2 and CH4 improved as a function of solar zenith angle. The airmass dependence of the retrieved columns of CO2, CH4, and O2, as well as the column-averaged dry-air mole-fraction of CO2 (XCO2) decreased while the accuracy of XCO2 improved. Ph.D. Thesis Eureka Nunavut University of Toronto: Research Repository T-Space Canada Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Nunavut
spellingShingle Fourier Transform Spectrometers
Greenhouse Gases
Radiative Transfer
Remote sensing
Spectral line shape
Spectroscopy
0605
Mendonca, Joseph Sam
Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title_full Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title_fullStr Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title_full_unstemmed Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title_short Improving the Retrievals of Greenhouse Gases from Ground-Based Solar Absorption Spectra
title_sort improving the retrievals of greenhouse gases from ground-based solar absorption spectra
topic Fourier Transform Spectrometers
Greenhouse Gases
Radiative Transfer
Remote sensing
Spectral line shape
Spectroscopy
0605
topic_facet Fourier Transform Spectrometers
Greenhouse Gases
Radiative Transfer
Remote sensing
Spectral line shape
Spectroscopy
0605
url http://hdl.handle.net/1807/80207