Assessment of the rain drop inertia effect for radar-based turbulence intensity retrievals

Journal Article (2016)
Author(s)

Albert C.P. Oude Nijhuis (TU Delft - Microwave Sensing, Signals & Systems)

Felix J. Yanovsky (National Aviation University)

O.A. Krasnov (TU Delft - Microwave Sensing, Signals & Systems)

Christine M. H. Unal (TU Delft - Atmospheric Remote Sensing)

HWJ Russchenberg (TU Delft - Geoscience and Remote Sensing)

Alexander Yarovyi (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1017/S1759078716000660
More Info
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Publication Year
2016
Language
English
Microwave Sensing, Signals & Systems
Issue number
6
Volume number
8
Pages (from-to)
835-844

Abstract

A new model is proposed on how to account for the inertia of scatterers in radar-based turbulence intensity retrieval techniques. Rain drop inertial parameters are derived from fundamental physical laws, which are gravity, the buoyancy force, and the drag force. The inertial distance is introduced, which is a typical distance at which a particle obtains the same wind velocity as its surroundings throughout its trajectory. For the measurement of turbulence intensity, either the Doppler spectral width or the variance of Doppler mean velocities is used. The relative scales of the inertial distance and the radar resolution volume determine whether the variance of velocities is increased or decreased for the same turbulence intensity. A decrease can be attributed to the effect that inertial particles are less responsive to the variations of wind velocities. An increase can be attributed to inertial particles that have wind velocities corresponding to an average of wind velocities over their backward trajectories, which extend outside the radar resolution volume. Simulations are done for the calculation of measured radar velocity variance, given a 3-D homogeneous isotropic turbulence field, which provides valuable insight in the correct tuning of parameters for the new model.

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