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Cirrus properties and air mean vertical motion retrieval using mm-wavelength Doppler radar moments

Deng, Min University of Utah
Mace, Gerald University of Utah

Vertically pointing millimeter wavelength Doppler radar provides valuable information on upper tropospheric cloud properties and dynamics. We are developing an innovative algorithm to simultaneously retrieve cirrus microphysical parameters and air mean vertical motion by using the three moments of the Doppler spectrum. The technique utilizes a statement that the observed Doppler spectrum is the convolution of a quiet air reflectivity spectrum with the turbulence PDF (probability density function). The set of equations describing the Doppler spectrum moments are inverted using optimal estimation theory to derive estimates of the particle size distribution, the vertical velocity of the air in the sample volume, and objectively derived estimates of the retrieval error. We present in situ validation of the technique and examine a cirrus case study to illustrate the sensitivity of the algorithm. The purpose of the algorithm is to facilitate the parameterization of tropical anvil cirrus and the understanding of its processes.

This poster will be displayed at the ARM Science Team Meeting.