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Remote Sens. 2012, 4(8), 2329-2355;

Four Methods for LIDAR Retrieval of Microscale Wind Fields

Faculdade de Geofisíca, Instituto de Geociênces, Universidade Federal do Pará, Rua Augusto Correa, 01-Guamá, Belem-PA, 66075-110, Brazil
Department of Physics, Utah State University, Logan, UT 84322, USA
Author to whom correspondence should be addressed.
Received: 25 June 2012 / Revised: 25 July 2012 / Accepted: 27 July 2012 / Published: 8 August 2012
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This paper evaluates four wind retrieval methods for micro-scale meteorology applications with volume and time resolution in the order of 30m3 and 5 s. Wind field vectors are estimated using sequential time-lapse volume images of aerosol density fluctuations. Suitably designed mono-static scanning backscatter LIDAR systems, which are sensitive to atmospheric density aerosol fluctuations, are expected to be ideal for this purpose. An important application is wind farm siting and evaluation. In this case, it is necessary to look at the complicated region between the earth’s surface and the boundary layer, where wind can be turbulent and fractal scaling from millimeter to kilometer. The methods are demonstrated using first a simple randomized moving hard target, and then with a physics based stochastic space-time dynamic turbulence model. In the latter case the actual vector wind field is known, allowing complete space-time error analysis. Two of the methods, the semblance method and the spatio-temporal method, are found to be most suitable for wind field estimation. View Full-Text
Keywords: LIDAR; 3D; vector wind fields; spatio-temporal and semblance methods; fluid flow models; retrievals LIDAR; 3D; vector wind fields; spatio-temporal and semblance methods; fluid flow models; retrievals
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Howard, A.Q., Jr.; Naini, T. Four Methods for LIDAR Retrieval of Microscale Wind Fields. Remote Sens. 2012, 4, 2329-2355.

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