Spectral least squares quantification of several atmospheric gases from high resolution infrared solar spectra obtained at the South Pole

Details Spectral least squares quantification of several atmospheric gases from high resolution infrared solar spectra obtained at the South Pole Spectral least squares quantification of several atmospheric gases from high resolution infrared solar spectra obtained at the South Pole

Mar 1983

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1983jqsrt..29..189g&link_type=abstract

Journal of Quantitative Spectroscopy and Radiative Transfer (ISSN 0022-4073), vol. 29, March 1983, p. 189-204. NSF-supported res

Computer Science

30

Atmospheric Composition, Infrared Spectra, Least Squares Method, Solar Spectra, Antarctic Regions, Atmospheric Moisture, Carbon Dioxide, High Resolution, Methane, Nitrous Oxides, Ozone, Temperature Distribution

Scientific paper

Spectral least squares fitting has been used to analyze high resolution
i.r. solar spectra obtained at the South Pole in 1980. The spectral
regions analyzed allow the simultaneous quantification of CO2, H2O, N2O,
CH4, and O3. Information is obtained on the column amount and on the
vertical distribution.

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