Use of multivariate regression for analysis of CO{sub 2} laser lidar data from long pathlengths in ambient atmosphere
- and others
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.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 589676
- Report Number(s):
- LA-UR-97-1585; CONF-970276-6; ON: DE97007754
- Resource Relation:
- Conference: 4. chemical analysis by laser interrogation of proliferation effluents (CALIOPE) interim technical review meeting, Livermore, CA (United States), 25-27 Feb 1997; Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
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