Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra

<p>To predict future climate change, we must accurately predict future atmospheric concentrations of CO₂ and CH₄. The current budget has typically been inferred from top-down analyses of measurements from a global network of surface sites. These measurements are highly accurate, but have lim...

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Main Author: Washenfelder, Rebecca Ann
Format: Others
Published: 2006
Online Access:https://thesis.library.caltech.edu/2398/1/Washenfelder_Caltech_PhD_Thesis.pdf
https://thesis.library.caltech.edu/2398/2/Washenfelder_Caltech_PhD_Thesis_Appendix.pdf
Washenfelder, Rebecca Ann (2006) Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7SPN-EY19. https://resolver.caltech.edu/CaltechETD:etd-06022006-103523 <https://resolver.caltech.edu/CaltechETD:etd-06022006-103523>
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spelling ndltd-CALTECH-oai-thesis.library.caltech.edu-23982020-05-07T03:03:08Z Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra Washenfelder, Rebecca Ann <p>To predict future climate change, we must accurately predict future atmospheric concentrations of CO₂ and CH₄. The current budget has typically been inferred from top-down analyses of measurements from a global network of surface sites. These measurements are highly accurate, but have limited spatial coverage. In addition, accurate knowledge of local planetary boundary layer dynamics is necessary to determine fluxes.</p> <p>Column measurements, defined as the vertical integral of gas concentration, can complement the existing in situ network. Because column measurements sample a larger portion of the atmosphere, they exhibit less variability than surface data, while retaining information about surface fluxes. Column measurements are not influenced by planetary boundary layer dynamics, and do not suffer from the resulting correlation between exchange and transport.</p> <p>An automated observatory for measuring ground-based column abundances of CO₂, CH₄, and O₂ is described. Near-infrared spectra of the direct sun are obtained from 3,900–15,600 cm⁻¹ by a Bruker 125HR Fourier transform spectrometer. The observatory was assembled in Pasadena, California and then permanently deployed to Northern Wisconsin during May 2004. Under clear sky conditions, retrieved column CO₂ abundances demonstrate ~0.1% precision. Comparison of these column measurements with eight aircraft profiles of in situ CO₂ recorded during summer 2004 shows a small bias, but an excellent correlation.</p> <p>The observed secular increase and seasonal amplitude of column-average CO₂ observed during the period of May 2004 – March 2006 is 1.8 ppmv yr⁻¹ and 11 ppmv, consistent with theoretical predictions that the measurements will be representative of Northern Hemisphere CO₂ exchange over seasonal timescales. Comparisons with eddy covariance measurements show that the column measurements have potential for directly observing CO₂ exchange, but that this ability is constrained by the difficulty in accounting for atmospheric transport.</p> <p>Finally, the use of near-infrared spectral analysis is extended to observations of tropospheric column-average CH₄ concentrations. By employing a stratospheric "slope equilibrium" relationship between CH₄ and HF, the varying contribution of stratospheric CH₄ to the total column is inferred. This method is used to determine tropospheric column-average CH₄ VMRs from near-infrared solar absorption spectra recorded at the Kitt Peak National Solar Observatory during 1977–1995.</p> 2006 Thesis NonPeerReviewed application/pdf https://thesis.library.caltech.edu/2398/1/Washenfelder_Caltech_PhD_Thesis.pdf application/pdf https://thesis.library.caltech.edu/2398/2/Washenfelder_Caltech_PhD_Thesis_Appendix.pdf https://resolver.caltech.edu/CaltechETD:etd-06022006-103523 Washenfelder, Rebecca Ann (2006) Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7SPN-EY19. https://resolver.caltech.edu/CaltechETD:etd-06022006-103523 <https://resolver.caltech.edu/CaltechETD:etd-06022006-103523> https://thesis.library.caltech.edu/2398/
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description <p>To predict future climate change, we must accurately predict future atmospheric concentrations of CO₂ and CH₄. The current budget has typically been inferred from top-down analyses of measurements from a global network of surface sites. These measurements are highly accurate, but have limited spatial coverage. In addition, accurate knowledge of local planetary boundary layer dynamics is necessary to determine fluxes.</p> <p>Column measurements, defined as the vertical integral of gas concentration, can complement the existing in situ network. Because column measurements sample a larger portion of the atmosphere, they exhibit less variability than surface data, while retaining information about surface fluxes. Column measurements are not influenced by planetary boundary layer dynamics, and do not suffer from the resulting correlation between exchange and transport.</p> <p>An automated observatory for measuring ground-based column abundances of CO₂, CH₄, and O₂ is described. Near-infrared spectra of the direct sun are obtained from 3,900–15,600 cm⁻¹ by a Bruker 125HR Fourier transform spectrometer. The observatory was assembled in Pasadena, California and then permanently deployed to Northern Wisconsin during May 2004. Under clear sky conditions, retrieved column CO₂ abundances demonstrate ~0.1% precision. Comparison of these column measurements with eight aircraft profiles of in situ CO₂ recorded during summer 2004 shows a small bias, but an excellent correlation.</p> <p>The observed secular increase and seasonal amplitude of column-average CO₂ observed during the period of May 2004 – March 2006 is 1.8 ppmv yr⁻¹ and 11 ppmv, consistent with theoretical predictions that the measurements will be representative of Northern Hemisphere CO₂ exchange over seasonal timescales. Comparisons with eddy covariance measurements show that the column measurements have potential for directly observing CO₂ exchange, but that this ability is constrained by the difficulty in accounting for atmospheric transport.</p> <p>Finally, the use of near-infrared spectral analysis is extended to observations of tropospheric column-average CH₄ concentrations. By employing a stratospheric "slope equilibrium" relationship between CH₄ and HF, the varying contribution of stratospheric CH₄ to the total column is inferred. This method is used to determine tropospheric column-average CH₄ VMRs from near-infrared solar absorption spectra recorded at the Kitt Peak National Solar Observatory during 1977–1995.</p>
author Washenfelder, Rebecca Ann
spellingShingle Washenfelder, Rebecca Ann
Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
author_facet Washenfelder, Rebecca Ann
author_sort Washenfelder, Rebecca Ann
title Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
title_short Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
title_full Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
title_fullStr Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
title_full_unstemmed Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra
title_sort column abundances of carbon dioxide and methane retrieved from ground-based near-infrared solar spectra
publishDate 2006
url https://thesis.library.caltech.edu/2398/1/Washenfelder_Caltech_PhD_Thesis.pdf
https://thesis.library.caltech.edu/2398/2/Washenfelder_Caltech_PhD_Thesis_Appendix.pdf
Washenfelder, Rebecca Ann (2006) Column Abundances of Carbon Dioxide and Methane Retrieved from Ground-Based Near-Infrared Solar Spectra. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7SPN-EY19. https://resolver.caltech.edu/CaltechETD:etd-06022006-103523 <https://resolver.caltech.edu/CaltechETD:etd-06022006-103523>
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