Theoretical and Experimental Studies of Snow Covers Microwave Emissivity

Boyarskij, D.A.; Dmitriev, Vasiliy; Kleeorin, N.; Mirovskij, V. G.; Étkin, V. S.

doi:10.1163/156939393x00138

Cited by 15 publications

(3 citation statements)

References 7 publications

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“…Refrozen snow is dry snow that has gone through several melt-froze cycles. Passive microwave remote sensing of dry snow has been studied extensively by using semi-empirical models [1,2] or theoretical models including strong fluctuation approach [3][4][5], radiation transfer with discrete scatterers [6][7][8] and dense media radiation transfer equations [9,10]. However, the experimental and theoretical studies of wet snow are still very limited [3,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Microwave Emission Model for Wet Snow by Using Radiative Transfer and Strong Fluctuation Theory

Wang¹,

Arslan²,

Pulliainen³

et al. 2001

PIER

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Abstract-This study is concerned with the development of a model to describe microwave emission from terrain covered by wet snow. The model is based on the radiative transfer theory and the strong fluctuation theory. Wet snow is treated in the model as a mixture of dry snow and water inclusions. The shape of the water inclusions is taken into account. The effective permittivity is calculated by using the two-phase strong fluctuation theory model with nonsymmetrical inclusions. The phase matrix and the extinction coefficient of wet snow for an anisotropic correlation function with azimuth symmetric are used. The vector radiative transfer equation for a layer of a random medium was solved by using Gaussian quadrature and eigen analysis. The model behaviour is illustrated by using typical parameters encountered in microwave remote sensing of wet snow. Comparisons with emissivity data at 11, 21 and 35 GHz are made. It is shown that the model predictions fit the experimental data.

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Section: Introductionmentioning

confidence: 99%

Microwave Emission Model for Wet Snow by Using Radiative Transfer and Strong Fluctuation Theory

Wang¹,

Arslan²,

Pulliainen³

et al. 2001

PIER

View full text Add to dashboard Cite

show abstract

“…The decrease of radiobrightness temperature of the soil-snowatmosphere system at the frequency f = 19.5 GHz and especially at f = 37.5 GHz during one winter due to the growth of the mean size of ice crystals over the season, the smoothing of the dependence of radiobrightness temperature on the viewing angle at f = 3.95 GHz caused by the appearance of layer of depth-hoar, different frequency dependencies of snow radiobrightness temperature corresponding to different snow cover structures [4,5] these are only a few examples of the significant influence the stratigraphy of snow cover has on its microwave signal. Therefore, a reliable interpretation of remotely sensed data requires consideration of the snow stratification and structure.…”

Section: Introductionmentioning

confidence: 99%

“…For scatterers they take: for dry snow-ice grains [4,8,9], for wet snow-ice grains covered with water film [10][11][12] or a mixture of ice grains and water drops of various radii [12].…”

Section: Introductionmentioning

confidence: 99%