Use of multivariate regression for analysis of CO{sub 2} laser lidar data from long pathlengths in ambient atmosphere

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Until recently use of lasers for long path absorption measurements has relied on using differential absorption at two wavelengths to look for one species at a time in the atmosphere. With the advent of multi-line CO{sub 2} lasers it is now feasible to generate 30 to 40 lines in a rapid burst to look for spectra of all the chemical species that may be present. Measurements have been made under relatively constant meteorological conditions in a summertime desert environment with a multi-line tunable laser. Multivariate regression analysis of this data shows that the spectra can be accurately fit using a ... continued below

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20 p.

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Sander, R.K.; Quagliano, J.R. & Fry, H. August 1, 1997.

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Until recently use of lasers for long path absorption measurements has relied on using differential absorption at two wavelengths to look for one species at a time in the atmosphere. With the advent of multi-line CO{sub 2} lasers it is now feasible to generate 30 to 40 lines in a rapid burst to look for spectra of all the chemical species that may be present. Measurements have been made under relatively constant meteorological conditions in a summertime desert environment with a multi-line tunable laser. Multivariate regression analysis of this data shows that the spectra can be accurately fit using a small number of spectral factors or eigenvectors of the time dependent spectral data matrix. The factors can be rationalized in terms of lidar system effects and atmospheric composition changes.

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20 p.

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OSTI as DE97007754

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  • 4. chemical analysis by laser interrogation of proliferation effluents (CALIOPE) interim technical review meeting, Livermore, CA (United States), 25-27 Feb 1997

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  • Other: DE97007754
  • Report No.: LA-UR--97-1585
  • Report No.: CONF-970276--6
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 589676
  • Archival Resource Key: ark:/67531/metadc692490

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  • August 1, 1997

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  • Aug. 14, 2015, 8:43 a.m.

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  • Feb. 29, 2016, 8 p.m.

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Sander, R.K.; Quagliano, J.R. & Fry, H. Use of multivariate regression for analysis of CO{sub 2} laser lidar data from long pathlengths in ambient atmosphere, article, August 1, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc692490/: accessed August 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.