Extending radiative transfer models by use of Bayes rule

Details Extending radiative transfer models by use of Bayes rule Extending radiative transfer models by use of Bayes rule

May 1977

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1977jats...34..766w&link_type=abstract

Journal of the Atmospheric Sciences, vol. 34, May 1977, p. 766-772.

Mathematics

Probability

1

Atmospheric Physics, Bayes Theorem, Probability Theory, Radiative Transfer, Angular Resolution, Atmospheric Scattering, Curvature, Iterative Solution, Monte Carlo Method, Probability Distribution Functions, Spherical Harmonics

Scientific paper

This paper presents a procedure that extends some existing radiative transfer modeling techniques to problems in atmospheric science where curvature and layering of the medium and dynamic range and angular resolution of the signal are important. Example problems include twilight and limb scan simulations. Techniques that are extended include successive orders of scattering, matrix operator, doubling, Gauss-Seidel iteration, discrete ordinates and spherical harmonics. The procedure for extending them is based on Bayes' rule from probability theory.

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