Attenuation constant of a coherent field in a dense distribution of particles

Ishiniaru, Akira; Kuga, Yasuo

doi:10.1364/josa.72.001317

Cited by 276 publications

(100 citation statements)

References 8 publications

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“…This condition is met only when the fractional volume f is less than a few percent (Ishimaru and Kuga, 1982). Despite its name, recent works suggest the DMRT-ML theory does not work for any large fractional volumes (see Sect.…”

Section: Snow Extinction and Absorption Coefficients And Phase Functmentioning

confidence: 99%

Simulation of the microwave emission of multi-layered snowpacks using the Dense Media Radiative transfer theory: the DMRT-ML model

et al. 2013

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Abstract. DMRT-ML is a physically based numerical model designed to compute the thermal microwave emission of a given snowpack. Its main application is the simulation of brightness temperatures at frequencies in the range 1-200 GHz similar to those acquired routinely by spacebased microwave radiometers. The model is based on the Dense Media Radiative Transfer (DMRT) theory for the computation of the snow scattering and extinction coefficients and on the Discrete Ordinate Method (DISORT) to numerically solve the radiative transfer equation. The snowpack is modeled as a stack of multiple horizontal snow layers and an optional underlying interface representing the soil or the bottom ice. The model handles both dry and wet snow conditions. Such a general design allows the model to account for a wide range of snow conditions. Hitherto, the model has been used to simulate the thermal emission of the deep firn on ice sheets, shallow snowpacks overlying soil in Arctic and Alpine regions, and overlying ice on the large icesheet margins and glaciers. DMRT-ML has thus been validated in three very different conditions: Antarctica, Barnes Ice Cap (Canada) and Canadian tundra. It has been recently used in conjunction with inverse methods to retrieve snow grain size from remote sensing data. The model is written in Fortran90 and available to the snow remote sensing community as an open-source software. A convenient user interface is provided in Python.

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Section: Snow Extinction and Absorption Coefficients And Phase Functmentioning

confidence: 99%

Simulation of the microwave emission of multi-layered snowpacks using the Dense Media Radiative transfer theory: the DMRT-ML model

et al. 2013

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“…However, departure from independent scattering occurs in concentrated dispersions of small particles (¢ > 10% and d < A) where the increase in correlation among particles induces short-scale interference of the scattered waves [11]. Dependent scattering effects cause an increase of the transport path length A, • and a decrease of the diffuse reflectance BS [10][11][12]. For non-absorbing Rayleigh scatterers (d < < A), the Percus-Yevick approximation for the pair distribution function gives an analytical expression of the transport mean path A,*(d, ¢) in the dependent scattering regime [5,12]:…”

Section: Turbiscan On-line Measurementsmentioning

confidence: 99%

The On-Line Optical Investigation of Concentrated Dispersions in Precipitation and Grinding Processes

Bordes

Garcia

Francès

et al. 2001

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“…For densely packed scatterers, such as ice particles in snow, the correlation of particle positions, coherent wave interactions, and effects of dependent scattering have to be considered [18][19][20][21][22]. This deficiency is corrected in the dense medium radiative transfer (DMRT) theory [18,23,24].…”

Section: Introductionmentioning

confidence: 99%