3D Radiative Transfer in Cloudy Atmospheres

By Alexander Marshak, A. Davis. 2005

339 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/1d26f25bdd5d495c808e9d4af9d32939790576cc

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Citations in the corpus

The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor (2017, methodology): “D treatment with clouds have been reported using Monte Carlo models (Marshak and Davis, 2005) and more recently using stochastic RTM methods (Doicu et al., 2014).”
The I3RC - Bringing Together the Most Advanced Radiative Transfer Tools for Cloudy Atmospheres (2005, methodology): “We are looking forward to a greater exposure of graduate students to the world of 3D atmospheric radiation in academic curricula, and hope the imminent publication of the first monograph exclusively dedicated to the subject (Marshak and Davis 2005) will help in that regard.”
The Monte Carlo atmospheric radiative transfer model McArtim: Introduction and validation of Jacobians and 3D features (2011, background): “In literature, the related formulas are known as local estimates and dependent sampling [6,11].”
3‐D aerosol‐cloud radiative interaction observed in collocated MODIS and ASTER images of cumulus cloud fields (2007, methodology): “, 2005] certified Monte Carlo (MC) code for radiative transfer in a 3-D cloudy atmosphere [Marshak and Davis, 2005] is used in this study.”
Inverse transport theory and applications (2009, background): “The inverse transport problem finds applications in many areas including medical imaging and optical tomography [6, 38, 65, 113], radiative transfer in the atmosphere and the ocean [83, 88] (where the inverse transport problem is referred to as remote sensing), neutron transport [46, 127], as well a”
Radiative transfer in the cloudy atmosphere (2009, background): “In particular, [9] gives a broad, 600 page overview of 3D radiative transfer and its application in atmospheric science.”
The impact of aerosols on polarized sky radiance: model development, validation, and applications (2009, neutral): “For general questions about the Monte Carlo technique and in particular about libRadtran and MYSTIC the reader is referred to the literature (Marchuk et al., 1980; Collins et al., 1972; Mayer, 2009; Marshak and Davis, 2005; Cahalan et al., 2005).”
New secondary-scattering correction in DISORT with increased efficiency for forward scattering (2011, methodology): “For the calculation of radiance, which is the quantity of interest when simulating remote sensing instruments, two methods dominate the field: the discrete-ordinate method (DOM) [3] and the Monte Carlo method [4–6].”