Investigating relationship between correlation lengths and physical properties of wet snow

Relationship between correlation lengths and snow wetness is investigated by fitting to experimental data. The strong fluctuation theory is applied to calculate the backscattering from a half space of wet snow. The effective permittivity of wet snow is calculated using the two-phase model with non-symmetrical inclusions. In the two-phase model, wet snow is assumed to consist of dry snow (host) and liquid water (inclusions). The shape and size of water inclusion are considered using an anisotropic and azimuth symmetric correlation function. Numerical results for the backscattering coefficients of wet snow versus snow wetness are illustrated at 17 Ghz.