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contributor authorAlattabi, Zaid R.
contributor authorCahl, Douglas
contributor authorVoulgaris, George
date accessioned2019-10-05T06:46:30Z
date available2019-10-05T06:46:30Z
date copyright4/2/2019 12:00:00 AM
date issued2019
identifier otherJTECH-D-18-0166.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263377
description abstractAbstractA hybrid, empirical radar wave inversion technique that treats swell and wind waves separately is presented and evaluated using a single 48-MHz radar unit and in situ wave measurements. This hybrid approach greatly reduces errors in radar wave inversion during swell seas. Our analysis suggests that, prior to the inversion, the second-order spectrum should be normalized using Barrick?s weighting function because this process removes harmonic and corner reflection peaks from the inversion and improves the results. In addition, the resulting calibration constants for the wind wave component are not wave-frequency dependent and are similar in magnitude to those found in previous studies using different operating-frequency radars. This result suggests radar frequency independence, although additional experimental verification is required. The swell component of the model presented here ignores the effect of swell?s propagation direction on the radar signal. Although this approach has several limitations and may only be useful near the coast (where swell propagates close to perpendicular to the coastline), the resulting wave inversion is accurate even when swell is propagating close to perpendicular to the radar beam direction. RMS differences relative to in situ wave height measurements range from 0.16 to 0.25 m as the radar beam angle increases from 22° to 56°.
publisherAmerican Meteorological Society
titleSwell and Wind Wave Inversion Using a Single Very High Frequency (VHF) Radar
typeJournal Paper
journal volume36
journal issue6
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-18-0166.1
journal fristpage987
journal lastpage1013
treeJournal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 006
contenttypeFulltext


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