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			<titleStmt><title level='a'>Distributed observations of wind direction using microstructures attached to actively heated fiber-optic cables</title></titleStmt>
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				<publisher></publisher>
				<date>11/25/2019</date>
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				<bibl> 
					<idno type="par_id">10131287</idno>
					<idno type="doi"></idno>
					<title level='j'>AMT</title>
<idno>2468-4619</idno>
<biblScope unit="volume"></biblScope>
<biblScope unit="issue"></biblScope>					

					<author>K. Lapo</author><author>A. Freundorfer</author><author>L. Pfister</author><author>J. Schneider</author><author>J. Selker</author><author>C. Thomas</author>
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			<abstract><ab><![CDATA[The weak-wind boundary layer is characterized by turbulent and submeso-scale motions that break the assumptions necessary for using traditional eddy covariance observations such as horizontal homogeneity and stationarity, motivating the need for an observational system that allows spatially resolving measurements of atmospheric flows near the surface. Fiber Optic Distributed Sensing (FODS) potentially opens the door to observing a wide-range of atmospheric processes on a spatially5 distributed basis and to date has been used to resolve the turbulent fields of air temperature and wind speed on scales of second and decimeters. Here we report on progress developing a FODS technique for observing spatially distributed wind direction. We affixed microstructures shaped as cones to actively-heated fiber-optic cables with opposing orientations to impose directionally-sensitive convective heat fluxes from the fiber-optic cable to the air, leading to a difference in sensed temperature that depends on the wind direction. We demonstrate the behavior of arange of microstructure parameters including aspect ratio,10 spacing, and size and develop a simple deterministic model to explain the temperature differences as a function of wind speed. The mechanism behind the directionally-sensitive heat loss is explored using Computational Fluid Dynamics simulations and infrared images of the cone-fiber system. While the results presented here are only relevant for observing wind direction along one dimension it is an important step towards the ultimate goal of a full three-dimensional, distributed flow sensor.]]></ab></abstract>
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