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1 A dual-polarization radar hydrometeor classification algorithm for ...

1 A dual-polarization radar hydrometeor classification algorithm for ...

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126127128129130131132133134135136137138139140141142143144145146147<strong>algorithm</strong> definitions and equations). The T-matrix model computes the <strong>radar</strong> backscatteringcross section of particular <strong>hydrometeor</strong>s and the Mueller-matrix calculates polarimetric <strong>radar</strong>observations <strong>for</strong> a homogeneous, parameterized population of a given <strong>hydrometeor</strong> type. Theseresults are sensitive to the input parameters in Table 1, which we elaborate on in the remainder ofthis section.All <strong>hydrometeor</strong>s are modeled as oblate spheroids without branched or otherwiseirregular shapes, which is sufficient <strong>for</strong> X-, C-, and S-band weather <strong>radar</strong> applications (Bringiand Chandrasekar 2001). While scattering simulations are sensitive to phase (ice vs. liquid), theresults were negligibly sensitive to changes in temperature. 30° and 1° elevation angles weresimulated to determine how the <strong>radar</strong> would perceive high- and low-altitude ice particles. Sleetand rain are only expected to exist below the melting level so are simply modeled at 1°.Hydrometeor bulk density (! bulk ) is defined as the particle’s mass per unit volume. Theaxis ratio is assumed to compare the minor (“a”, basal, a-axis growth face) and major (“b”,prism, c-axis face) dimensions of a particle (“a/b”), where values approach one <strong>for</strong> spheres. Theparticle size distribution (PSD) D MIN , D MAX , diameter interval ("D), and functional shape areparameterized, from which we calculate D 0 . To represent the natural variability of precipitationin turbulent background flow, all <strong>hydrometeor</strong>s are assumed to have a Gaussian distribution ofcanting angles about a mean (# m ) of zero (Beard and Jameson 1983, Hendry et al. 1976, Spek etal. 2008). The fall behavior of indivi<strong>dual</strong> particles may vary greatly, but in the interest ofdistinguishing bulk <strong>hydrometeor</strong> types we used standard deviation of the canting angle ($) valueswhich best characterized how each particle type might fall differently from another.b) Model parameterizations <strong>for</strong> various <strong>hydrometeor</strong>s7

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