PROMSAR: A backward Monte Carlo spherical RTM for the analysis of DOAS remote sensing measurements (Articolo in rivista)

Type
Label
  • PROMSAR: A backward Monte Carlo spherical RTM for the analysis of DOAS remote sensing measurements (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Palazzi E, Petritoli A, Giovanelli G, Kostadinov I, Bortoli D, Ravegnani F, Sackey SS (2006)
    PROMSAR: A backward Monte Carlo spherical RTM for the analysis of DOAS remote sensing measurements
    in Advances in space research
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Palazzi E, Petritoli A, Giovanelli G, Kostadinov I, Bortoli D, Ravegnani F, Sackey SS (literal)
Pagina inizio
  • 1007 (literal)
Pagina fine
  • 1014,0 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 36,00 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Titolo
  • PROMSAR: A backward Monte Carlo spherical RTM for the analysis of DOAS remote sensing measurements (literal)
Abstract
  • A correct interpretation of diffuse solar radiation measurements made by Differential Optical Absorption Spectroscopy (DOAS) remote sensors require the use of radiative transfer models of the atmosphere. The simplest models consider radiation scattering in the atmosphere as a single scattering process. More realistic atmospheric models are those which consider multiple scattering and their application is useful and essential for the analysis of zenith and off-axis measurements regarding the lowest layers of the atmosphere, such as the boundary layer. These are characterized by the highest values of air density and quantities of particles and aerosols acting as scattering nuclei. (literal)
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