Print Email Facebook Twitter Radar based horizontal wind profile retrieval techniques: DFT applied to scanning Doppler radar measurements Title Radar based horizontal wind profile retrieval techniques: DFT applied to scanning Doppler radar measurements Author Ishwardat, N.K.S. Contributor Krasnov, O.A. (mentor) Yarovoy, A. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Electrical Engineering Date 2017-03-08 Abstract During this thesis research an attempt is made to introduce a computational lightweight horizontal wind retrieval method applied on scanning Doppler radar velocity data. Horizontal wind parameters are the wind speed and wind direction. If know they are known in a vertical extend, they form a wind profile. In a typical approach, horizontal wind parameters can be obtained through a least squares fit of the measured Doppler radar velocity data. As the least squares fit can be computational costly the discrete Fourier transformation (DFT) is tested in this study. A new method called the Fast Fourier Wind Vector Algorithm or FFWVA is proposed for horizontal wind field determination. The proposed FFWVA method is based on the Velocity Azimuth Display or VAD. The VAD is a frequency based analysis method mentioned by Doviak and Zrnic. Tests are performed with wind field simulations that have multiple wind layers. These multiple wind layers are common in local weather hazards like vertical wind shears, microbursts and whirlwinds. The tests include validation with wind fields as described in the Doppler velocity interpretation guide of Brown and Wood. Apart from ideal simulations other cases with noise and gaps in the azimuthal scanned velocity data are tested. The results of an ideal simulation show that the horizontal wind field parameters are determined with negligible error. However, in cases with random gaps in the data or with less than 50% data the FFWVA shows significant errors. The FFWVA wind determination works when the data input is done following a specified manner: either with an even spread of gaps or with exact 50% data available Subject horizontal wind determinationradarDopplerVADVelocity Azimuth DisplayFrequency based AnalysisDiscreet Fourier TransformFast Fourier TransformMulti-layered wind profile To reference this document use: http://resolver.tudelft.nl/uuid:a659654b-e76a-4513-a656-ecad761bdbc8 Part of collection Student theses Document type master thesis Rights (c) 2017 N.K.S. Ishwardat Files PDF MSc-Thesis-NKS-Ishwardat-final.pdf 7.01 MB Close viewer /islandora/object/uuid:a659654b-e76a-4513-a656-ecad761bdbc8/datastream/OBJ/view