Spectra of polarized thermal radiation in a cloudy atmosphere: Line-by-Line and Monte Carlo model for passive remote sensing of cirrus and polar clouds

• Published in: Journal of quantitative spectroscopy & radiative transfer 2016-07, Vol.177, p.301-317
• Main Authors: Fomin, Boris, Falaleeva, Victoria
• Format: Article
• Language: English
• Subjects: Absorption; Algorithms; Clouds; Computer simulation; Line-by-line model; Monte Carlo methods; Polar clouds; Polarization; Remote sensing; Spectral lines; Thermal radiation
• ISSN: 0022-4073; 1879-1352
• DOI: 10.1016/j.jqsrt.2016.03.004

A polarized high-resolution 1-D model has been presented for TIR (Thermal Infrared) remote sensing application. It is based on the original versions of MC (Monte Carlo) and LbL (Line-by-Line) algorithms, which have shown their effectiveness when modelling the thermal radiation atmospheric transfer, taking into account, the semi-transparent Ci-type and polar clouds scattering, as well as the direct consideration of the spectra of molecular absorption. This model may be useful in the planning of satellite experiments and in the validation of similar models, which use the “k-distribution” or other approximations, to account for gaseous absorption. The example simulations demonstrate that, the selective gas absorption does not only significantly affect the absorption and emission of radiation, but also, its polarization in the Ci-type clouds. As a result, the spectra of polarized radiation contain important information about the clouds, and а high-resolution polarized limb sounding in the TIR, seems to be a useful tool in obtaining information on cloud types and their vertical structures.