Relevant bibliographies by topics / Wind direction

Academic literature on the topic 'Wind direction'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Wind direction"

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Mahrt, Larry. "Surface Wind Direction Variability." Journal of Applied Meteorology and Climatology 50, no. 1 (January 1, 2011): 144–52. http://dx.doi.org/10.1175/2010jamc2560.1.

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Abstract Common large shifts of wind direction in the weak-wind nocturnal boundary layer are poorly understood and are not adequately captured by numerical models and statistical parameterizations. The current study examines 15 datasets representing a variety of surface conditions to study the behavior of wind direction variability. In contrast to previous studies, the current investigation directly examines wind direction changes with emphasis on weak winds and wind direction changes over smaller time periods of minutes to tens of minutes, including large wind direction shifts. A formulation of the wind direction changes is offered that provides more realistic behavior for very weak winds and for complex terrain.
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Hisaki, Yukiharu. "Sea Surface Wind Correction Using HF Ocean Radar and Its Impact on Coastal Wave Prediction." Journal of Atmospheric and Oceanic Technology 34, no. 9 (September 2017): 2001–20. http://dx.doi.org/10.1175/jtech-d-16-0249.1.

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AbstractBoth wind speeds and wind directions are important for predicting wave heights near complex coastal areas, such as small islands, because the fetch is sensitive to the wind direction. High-frequency (HF) radar can be used to estimate sea surface wind directions from first-order scattering. A simple method is proposed to correct sea surface wind vectors from reanalysis data using the wind directions estimated from HF radar. The constraints for wind speed corrections are that the corrections are small and that the corrections of horizontal divergences are small. A simple algorithm for solving the solution that minimizes the weighted sum of the constraints is developed. Another simple method is proposed to correct sea surface wind vectors. The constraints of the method are that corrections of wind vectors and horizontal divergences from the reanalysis wind vectors are small and that the projection of the corrected wind vectors to the direction orthogonal to the HF radar–estimated wind direction is small. The impact of wind correction on wave parameter prediction is large in the area in which the fetch is sensitive to wind direction. The accuracy of the wave prediction is improved by correcting the wind in that area, where correction of wind direction is more important than correction of wind speeds for the improvement. This method could be used for near-real-time wave monitoring by correcting forecast winds using HF radar data.
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Boyce, Richard L. "Wind direction and fir wave motion." Canadian Journal of Forest Research 18, no. 4 (April 1, 1988): 461–66. http://dx.doi.org/10.1139/x88-067.

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The direction of travel for each of 11 fir waves in the White Mountains of New Hampshire was determined from their positions on aerial photographs taken in 1978, 1966, and 1943–1944. The direction toward which trees within each wave were flagged was determined in the field and used to infer the direction of prevailing winds. Flagging and fir wave directions are found to be closely related. Most wave velocities fall within the range 1–3 m year−1, as found in earlier studies. Wave direction generally parallels the fall line, but in cases where the flagging direction crosses the fall line, the wave follows the flagging direction. The flagging observed in fir waves appears to be caused by rime ice damage. It indicates that a narrow range of mean annual wind velocities are present where waves occur. The close relationship between flagging and fir wave directions suggests that wind and rime ice buildup are important factors in advancing the dieback zone of fir waves.
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WEERASINGHE, R. M., A. S. PANNILA, M. K. JAYANANDA, and D. U. J. SONNADARA. "MULTIFRACTAL BEHAVIOR OF WIND SPEED AND WIND DIRECTION." Fractals 24, no. 01 (March 2016): 1650003. http://dx.doi.org/10.1142/s0218348x16500031.

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In this paper, an analysis of temporal variation of wind speed and wind direction recorded at 10 min intervals are presented. The measurements were carried out at Hambanthota, a site located in the southern coastal belt of Sri Lanka which has a high potential for wind power generation. The multifractal detrended fluctuation analysis was used to analyze the temporal scaling properties of wind speeds and wind directions. The analysis was carried out for seasonal variation of wind speed and wind direction. It was observed that the scaling behavior of wind speed in Hambanthota is similar to the scaling behavior observed in previous studies which were carried out in other parts of the world. The seasonal wind and wind direction change exhibits different scaling behavior. No difference in scaling behavior was observed with heights. The degree of multifractality is high for wind direction when compared with wind speed for each season.
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Tai, Hui Xin, Yu Lan Yang, and Fuying Liu. "The All-Wind-Direction Computer Simulation on the Outdoor Wind Environment." Advanced Materials Research 599 (November 2012): 202–5. http://dx.doi.org/10.4028/www.scientific.net/amr.599.202.

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This paper aims to investigate how the wind drection influence the outdoor wind environment. Fluent Airpak is used to simulate the wind environment of a residential area in Hangzhou city of China, the atmosphere boundary layer （ABL） is setted up as 16 wind direction with the mean velocity on each wind direction throughout the local typical year meteorological data. The simulation yield the data for the Maximum Wind Velocity (MWV) and the Amplification Factor (AF) Two main findings are:1)The MWV and AF vary greatly according to the wind direction setted up in ABL. 2)None of the wind directions which present to the maximum MWV and the maximum AF in the residential area is consistent with the wind direction with highest frequency in the local typical year meteorological data. Therefore, it is suggested that the outdoor wind simulation should be carried out by the all directions rather than the wind direction with the highest frequency.
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Sang, Le Quang, Takao Maeda, and Yasunari Kamada. "Study effect of extreme wind direction change on 3-bladed horizontal axis wind turbine." International Journal of Renewable Energy Development 8, no. 3 (October 22, 2019): 261–66. http://dx.doi.org/10.14710/ijred.8.3.261-266.

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The Horizontal Axis Wind Turbines (HAWT) are used very popular in the world. They were installed mainly on land. However, on the land, the wind regime change is very complex such as high turbulence and constantly changing wind direction. In the International Electrotechnical Commission (IEC) 61400-1 standard, the wind regime is devided into the normal wind conditions and the extreme wind conditions. This study will focus on the extreme wind direction change and estimate the aerodynamic forces acting on a 3-bladed HAWT under this condition. Because the extreme wind direction change may cause extreme loads and it will affect the lifetime of HAWTs. This issue is experimented in the wind tunnel in Mie University, Japan to understand these effects. The wind turbine model is the 3-bladed HAWT type and using Avistar airfoil for making blades. A 6-component balance is used to measure the forces and the moments acting on the entire wind turbine in the three directions of x, y and z-axes. This study estimates the load fluctuation of the 3-bladed wind turbine under extreme wind direction change. The results show that the yaw moment and the pitch moment under the extreme wind direction change fluctuate larger than the normal wind condition. Specifically, before the sudden wind direction change happened, the averaged maximum pitch moment MX is -1.78 Nm, and after that MX is 4.45 Nm at inrush azimuth of 0°.©2019. CBIORE-IJRED. All rights reserved
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Guo, Peng, Si Chen, Jingchun Chu, and David Infield. "Wind direction fluctuation analysis for wind turbines." Renewable Energy 162 (December 2020): 1026–35. http://dx.doi.org/10.1016/j.renene.2020.07.137.

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Lokoshchenko, M. A. "Wind direction in Moscow." Russian Meteorology and Hydrology 40, no. 10 (October 2015): 639–46. http://dx.doi.org/10.3103/s1068373915100015.

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Brettle, M. J. "WIND DIRECTION AND GUSTS." Weather 45, no. 10 (October 1990): 373–75. http://dx.doi.org/10.1002/j.1477-8696.1990.tb05557.x.

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Slizhе, M. O., A. B. Semergei-Chumachenko, and El Hadri Youssef. "Current distribution of wind in Morocco." Ukrainian hydrometeorological journal, no. 17 (October 29, 2017): 61–69. http://dx.doi.org/10.31481/uhmj.17.2016.07.

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Information about wind is widely used in many sectors of the economy. Wind also causes many dangerous and extreme weather events. Modern climate changes require a certain revision of weather patterns previously accepted for the area. This article provides information on the current space and time distribution of wind characteristics within the territory of Morocco. During the period of 2005-2014 some monthly average wind speed values and data on repeatability of wind directions by gradations were obtained on the basis of physical and statistical analysis of results of observations of wind speed and directions performed at 26 stations. The authors defined the character of distribution of monthly averages of wind speed within the territory and its seasonal changes. Most of the territory is covered by mountains of Morocco which encourages development of local winds. At central and northern regions of Morocco predominance of weak winds due to complex orography of terrain is observed. In the central part of Morocco there is a region with the lowest values of wind speed. Formation of the wind regime at the coastal stations takes place in a developed breeze circulation. Wind speed and direction are significantly different at the nearby stations, such as Larache and Chefchaouen, Meknes and Fez. Increase of wind during the warmer half of a year was revealed at all stations. Nature of annual variation of average wind speed at the stations allows us to split the stations into two groups. The first group includes the stations where the average wind speed increases in summer and decreases in winter. The second group includes the stations where the average wind speed increases in spring and decreases in autumn. In the southern part and along the coast, where the terrain is flat, an increase of wind speed is observed. On open plains of the southern part of Atlantic coast during all seasons wind has a direction corresponding to direction of trade winds of the Northern hemisphere. It should be noted that the main factor forming air circulation within the territory of Morocco is represented by trade winds the intensity of which nearly doubles from summer to winter. Formation of wind directions at the stations takes place mainly under the influence of terrain of the area. At many stations predominant wind direction in January changes by 180º in comparison to the respective July values. Therefore, characteristics of the wind regime of Morocco in 2005-2014 consist in increase of wind speed in the coastal zone and decrease thereof in mountain areas together with presence of two types of annual variation of wind speed depending on physical and geographical conditions.
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Dissertations / Theses on the topic "Wind direction"

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Claus, Jean M. "Wind direction effects on urban flows." Thesis, University of Southampton, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.560582.

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In the research on urban flows, two trends can be distinguished: some studies based on real urban environments, either in the field or on reproductions; and some on simplified models. One such model, a staggered cube array, has been investigated extensively, both experimentally in wind tunnels and numerically using LES and DNS, but always with a flow direction normal to the faces of the cubes. We are here investigating the effects of different wind directions on the flow within and above the cube array. As no other study has been published on the subject, both numerical and experimental investigation methods have been used. For the numerical side, large-eddy simulations were conducted using the finite volume method implemented in commercial software (StarCD, CD-adapco). The half-channel flow simulated was driven by a momentum source equiva- lent to a pressure gradient. The results are shown to agree well with those of wind-tunnel experiments conducted in parallel. For the experimental side, the boundary layer flow is measured in two dimensions using particle-image velocimetry and the drag using pressure tapped cubes and a drag balance. The results show that the mean flow field within the canopy is only weakly dependent on the direction of the flow above. Above the canopy, the mean velocity profile, time av- eraged and spatially averaged in horizontal layers, is shown to include an inertial sublayer where a logarithmic profile can be fitted. The fit proves to be best by considering for zero-plane displacement the height at which the mean drag acts and points arguably in the direction of a flow dependent value of the Von Karman constant. At the top of the numerical domain, the mean flow is also deviated from the direction of the forcing. We show that this deviation is directly related to previously unseen lift forces applied on the cubes. On balancing the different forces in the numerical domain, the viscous contribu- tions to both the lift and the drag forces are shown to be larger than anticipated from previous studies. Although these results could not be validated by the experiments as the viscous forces remain small compared to the experimental errors, such contributions raise concerns with regards to the Reynolds number independence of the flow and to the need for more complex wall conditions for LES. Overall, the variations of the flow pa- rameters are not negligible and prove to be non-linear and non-monotonic with the flow angle which highlights the importance of considering the flow direction when studying or parameterising urban landscapes. 1.
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Nielsen, Emil. "Real-time Wind Direction Filtering for Sailboat Race Tracking." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119976.

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In this paper, an algorithm that calculates the direction of the wind from the directions of sailors during fleet races is proposed. The algorithm is based on a 1-D spatial convolution and it is named Convolution Based Direction Filtering (CBDF). The CBDF-algorithm is used in the TracTrac race client that broadcasts sailboat races in real-time. The fact that the proposed algorithm is polynomial makes it suitable, to be used as a real-time application inside TracTrac, even for large fleets. More concretely, we show that the time complexity of the CBDF-algorithm is O(n2), in the worst-case, where n > 0 is the number of boats in competition. It is also shown that in more realistic sailing scenarios, the CBDF-algorithm is in fact a linear algorithm.
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彭運佳 and Wan-kai Pang. "Time series analysis of meteorological data: wind speed and direction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B30425979.

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Pang, Wan-kai. "Time series analysis of meteorological data : wind speed and direction /." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13456933.

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Abohela, Islam Mohamed Mahmoud Mohamed. "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1686.

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The increasing interest among architects and planners in designing environmentally friendly buildings has led to a desire to explore and integrate renewable sources of energy within the built environment. Roof mounted wind turbines is a technology that presents a high potential for integration within the built environment. However, there is a state of uncertainty regarding the viability of these wind turbines. This thesis argues that part of this uncertainty is attributed to uninformed decisions about positioning and locating urban wind turbines. This is underpinned by lack of consideration to the wind accelerating effect of different roof shapes, buildings’ heights and surrounding urban configurations. This thesis aims to investigate the effect of different roof shapes on wind acceleration and positioning of roof mounted wind turbines covering different buildings’ heights within different urban configurations under different wind directions. To achieve the aim of the thesis, the commercial Computational Fluid Dynamics (CFD) code Fluent 12.1, implementing the Realizable k-ε turbulence model, is used to simulate wind flow around different roof shapes, different buildings’ heights and different urban settings. Predictions are comparatively analysed to identify the optimum roof shape for mounting wind turbines. Simulation results indicate that the barrel vaulted roof has the highest wind accelerating effect. The barrel vaulted roof shape case was carried further to investigate the effect of building height and surrounding urban configurations on the energy yield and positioning of roof mounted wind turbines. The optimum mounting location for each of the investigated roof shapes namely: flat, domed, gabled, pyramidal, barrel vaulted and wedged roofs is identified. Results from the investigation predict a possible increase up to 56.1% in energy yield in the case of a barrel vaulted roof if an informed wind assessment above buildings’ roofs is carried out. However, changing the building height and surrounding urban configuration had an effect on choosing the optimum mounting location and the energy yield at that location.
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Mölders, Nicole. "On the influence of the geostrophic wind direction on the atmospheric response to landuse changes." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-213350.

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Simulations alternatively assuming a landscape with and without urbanization plus open-cast mining were performed with a non-hydrostatic model. lt is examined whether the atmospheric response to landuse changes is sensitive to the direction of the geostrophic wind. The results of simulations with the same geostrophic wind direction show that except for the cloud and precipitating particles the daily domain-averages of the variables of state hardly differ for the different landscapes. Nevertheless, the local weather may be affected appreciably over and downwind of the altered surfaces. The significant differences in the cloud and precipitating particles, however, are not bound to the environs of the landuse changes. Generally, the most significant differences occur for the cloud and precipitation particles, the soil wetness factors and the vertical component of the wind vector. The latter changes strongly influence the cloud and precipitation formation by the interaction cloud microphysics-dynamics. The results also indicate that for most of the quantities the local magnitude of the atmospheric response changes for the various directions of the geostrophic wind. However, the differences of the domain-averaged 24h-accumulated evapotranspiration are similar for all geostrophic wind directions
Um zu untersuchen, ob die atmosphärische Antwort auf Landnutzungsänderungen sensitiv zur Richtung des geostrophischen Windes ist, wurden Simulationen durchgeführt, bei denen alternativ eine Landschaft mit und ohne Urbanisierung plus Tagebauten angenommen wurde. Die Simulationsergebnisse zeigen, daß - außer für Wolken- und Niederschlagspartikel - die täglichen Gebietsmittelwerte der Zustandsvariablen sich kaum für die beiden Landschaften unterscheiden. Trotzdem kann das lokale Wetter merklich über und im Lee der Oberflächen mit veränderter Landnutzung beeinflußt werden. Die signifikanten Differenzen in den Wolken- und Niederschlagspartikeln sind jedoch nicht an die unmittelbare Nähe der Landnutzungsänderungen gebunden. Generell treten die signifikanten Unterschiede bei den Wolkenund Niederschlagspartikeln, der Bodenfeuchte und der Vertikalkomponente des Windvektors auf. Letztere beeinflussen stark die Wolken- und Niederschlagsbildung durch die Wechselwirkung Wolkenmikrophysik-Dynamik. Die Ergebnisse zeigen außerdem, daß lokal der Grad der atmosphärischen Reaktion für die meisten Größen bei unterschiedlicher Richtung des geostrophischen Windes anders ausfällt. Die Differenzen der Gebietsmittelwerte der 24h-akkumulierten Evapotranspiration gleichen sich jedoch für alle Richtungen des geostrophischen Windes
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Hibbert, Michael Patrick. "The development of a solid state wind velocity and direction indicator, suitable for data logging." Thesis, Cape Technikon, 1992. http://hdl.handle.net/20.500.11838/1117.

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Thesis (Masters Diploma (Electrical Engineering)) -- Cape Technikon, Cape Town,1992
This thesis describes the development of a free standing, maintenance free anemometer which has no rotating parts. The principle of operation is based on the \-vind drag/force around a hollow P.V.c. pipe. The aim is to demonstrate how the strain occurring in the P.V.C. pipe, due to wind drag/force acting on it, can generate an electrical signal which can be mathematically manipulated to determine wind velocity and wind bearing.
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Mölders, Nicole. "On the influence of the geostrophic wind direction on the atmospheric response to landuse changes." Universität Leipzig, 1998. https://ul.qucosa.de/id/qucosa%3A15076.

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Simulations alternatively assuming a landscape with and without urbanization plus open-cast mining were performed with a non-hydrostatic model. lt is examined whether the atmospheric response to landuse changes is sensitive to the direction of the geostrophic wind. The results of simulations with the same geostrophic wind direction show that except for the cloud and precipitating particles the daily domain-averages of the variables of state hardly differ for the different landscapes. Nevertheless, the local weather may be affected appreciably over and downwind of the altered surfaces. The significant differences in the cloud and precipitating particles, however, are not bound to the environs of the landuse changes. Generally, the most significant differences occur for the cloud and precipitation particles, the soil wetness factors and the vertical component of the wind vector. The latter changes strongly influence the cloud and precipitation formation by the interaction cloud microphysics-dynamics. The results also indicate that for most of the quantities the local magnitude of the atmospheric response changes for the various directions of the geostrophic wind. However, the differences of the domain-averaged 24h-accumulated evapotranspiration are similar for all geostrophic wind directions.
Um zu untersuchen, ob die atmosphärische Antwort auf Landnutzungsänderungen sensitiv zur Richtung des geostrophischen Windes ist, wurden Simulationen durchgeführt, bei denen alternativ eine Landschaft mit und ohne Urbanisierung plus Tagebauten angenommen wurde. Die Simulationsergebnisse zeigen, daß - außer für Wolken- und Niederschlagspartikel - die täglichen Gebietsmittelwerte der Zustandsvariablen sich kaum für die beiden Landschaften unterscheiden. Trotzdem kann das lokale Wetter merklich über und im Lee der Oberflächen mit veränderter Landnutzung beeinflußt werden. Die signifikanten Differenzen in den Wolken- und Niederschlagspartikeln sind jedoch nicht an die unmittelbare Nähe der Landnutzungsänderungen gebunden. Generell treten die signifikanten Unterschiede bei den Wolkenund Niederschlagspartikeln, der Bodenfeuchte und der Vertikalkomponente des Windvektors auf. Letztere beeinflussen stark die Wolken- und Niederschlagsbildung durch die Wechselwirkung Wolkenmikrophysik-Dynamik. Die Ergebnisse zeigen außerdem, daß lokal der Grad der atmosphärischen Reaktion für die meisten Größen bei unterschiedlicher Richtung des geostrophischen Windes anders ausfällt. Die Differenzen der Gebietsmittelwerte der 24h-akkumulierten Evapotranspiration gleichen sich jedoch für alle Richtungen des geostrophischen Windes.
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Schachterle, Gregory Dallin. "Improved Analysis Techniques for Scatterometer Wind Estimation." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9218.

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In this thesis, three improved analysis techniques for scatterometer wind estimation are presented. These techniques build upon previous methods that help validate scatterometer data. This thesis examines the theory connecting the 1D and 2D kinetic energy spectra and uses QuikSCAT data to measure the 2D kinetic energy spectrum of ocean winds. The measured 2D kinetic energy spectrum is compared to the traditional 1D kinetic energy spectrum. The relationship between the 2D kinetic energy spectra and the 1D kinetic energy spectra confirms findings from previous studies that ocean winds modeled in 2D are isotropic and nondivergent. The 1D and 2D kinetic energy spectra also confirm the known conclusion that the zonal and meridional components of ocean winds are uncorrelated. Through simulation, the wind response function (WRF) is calculated for three different QuikSCAT processing algorithms. The WRF quantifies the contribution that the wind at each point of the surface makes to a given wind estimate. The spatial resolution of the different processing algorithms is estimated by their WRFs. The WRFs imply that the spatial resolution of ultrahigh resolution (UHR) processing is finer than the spatial resolution of conventional drop-in-the-bucket (DIB) processing; the spatial resolution of UHR processing is ~5-10 km while the spatial resolution of DIB slice processing is ~12-15 km and the spatial resolution of coarse resolution DIB egg processing is ~30 km. Simulation is used to analyze the effectiveness of various wind retrieval and ambiguity selection algorithms. To assist in the simulation, synthetic wind fields are created through extrapolating the 2D Fourier transform of a numerical weather prediction wind field. These synthetic wind fields are sufficiently realistic to evaluate ambiguity selection algorithms. The simulation employs the synthetic wind fields to compare wind estimation with and without direction interval retrieval (DIR) applied. Both UHR and DIB wind estimation processes are performed in the simulation and UHR winds are shown to resolve finer resolution wind features than DIB winds at the cost of being slightly noisier. DIR added to standard QuikSCAT UHR wind estimation drops the wind direction root-mean-squared error by ~10° to ~24.74° in the swath sweet spot.
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Kunkee, David Bryan. "Polarimetric millimeter-wave thermal emission from anisotropic water surfaces : application to remote sensing of ocean surface wind direction." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/14689.

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Books on the topic "Wind direction"

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The analysis of directional time series: Applications to wind speed and direction. Berlin: Springer-Verlag, 1989.

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Breckling, Jens, ed. The Analysis of Directional Time Series: Applications to Wind Speed and Direction. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3688-7.

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Long, Charles E. Joint wind wave height-frequency-direction statistics at two disparate sites. Vicksburg, Miss: U.S. Army Corps of Engineers, Waterways Experiment Station, 1998.

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Long, Charles E. Joint wind wave height-frequency-direction statistics at two disparate sites. Vicksburg, Miss: U.S. Army Corps of Engineers, Waterways Experiment Station, 1998.

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E, Long Charles. Joint wind wave height-frequency-direction statistics at two disparate sites. Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1998.

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Stanton, Teressa Marie. Is the amount of noise pollution recorded at Birmingham Airport influenced by changes in wind speed and wind direction? Northampton: Nene College, 1995.

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Pierson, Willard J. Oceanographic and meteorological research based on the data products of SEASAT: Final technical report for NASA grant NAGW-266. [Washington, D.C: National Aeronautics and Space Administration, 1985.

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E, Long Charles. Index and bulk parameters for frequency-direction spectra measured at CERC Field Research Facility, September 1993 to May 1994. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1995.

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E, Long Charles. Index and bulk parameters for frequency-direction spectra measured at CHL Field Research Facility, September 1995 to August 1996. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1997.

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E, Long Charles. Index and bulk parameters for frequency-direction spectra measured at CERC Field Research Facility, June 1994 to August 1995. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1996.

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Book chapters on the topic "Wind direction"

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Zucchini, Walter, Iain L. MacDonald, and Roland Langrock. "Wind direction at Koeberg." In Hidden Markov Models for Time Series, 245–57. Second edition / Walter Zucchini, Iain L. MacDonald, and Roland Langrock. | Boca Raton : Taylor & Francis, 2016. | Series: Monographs on statistics and applied probability ; 150 | “A CRC title.”: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b20790-19.

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Nakano, Takuya, Shota Saji, and Yasuyuki Yanagida. "Indicating Wind Direction Using a Fan-Based Wind Display." In Haptics: Perception, Devices, Mobility, and Communication, 97–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31404-9_17.

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Lindau, Ralf. "Direction of the Mean Wind Vector." In Climate Atlas of the Atlantic Ocean, 269–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59526-4_24.

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Guttorp, Peter, and Richard Lockhart. "Modeling Wind Direction Using von Mises Regression on Wind Speed." In Forum for Interdisciplinary Mathematics, 283–95. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1044-9_15.

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Breckling, Jens. "Application to Series of Residual Wind Directions." In The Analysis of Directional Time Series: Applications to Wind Speed and Direction, 207–15. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3688-7_10.

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Mikkola, K. "Direction of Insect Migrations in Relation to the Wind." In Proceedings in Life Sciences, 152–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71155-8_11.

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Pillai, Swaroop Ramaswamy, Apurv Yadav, and Vineet Kumar Vashishtha. "Prediction of Wind Power Curve Based on Wind Speed and Direction Utilizing Artificial Neural Network." In Lecture Notes in Mechanical Engineering, 515–22. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8704-7_63.

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Yaganoglu, A. Vahap. "Ridge vent, wind direction and wind velocity effects on closed, naturally ventilated cattle-building ventilation." In Agricultural Engineering, 1441–47. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003211471-90.

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Price, Eric, Yu Tang Liu, Michael J. Black, and Aamir Ahmad. "Simulation and Control of Deformable Autonomous Airships in Turbulent Wind." In Lecture Notes in Networks and Systems, 608–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95892-3_46.

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Abstract Fixed wing and multirotor UAVs are common in the field of robotics. Solutions for simulation and control of these vehicles are ubiquitous. This is not the case for airships, a simulation of which needs to address unique properties, i) dynamic deformation in response to aerodynamic and control forces, ii) high susceptibility to wind and turbulence at low airspeed, iii) high variability in airship designs regarding placement, direction and vectoring of thrusters and control surfaces. We present a flexible framework for modeling, simulation and control of airships. It is based on Robot operating system (ROS), simulation environment (Gazebo) and commercial off the shelf (COTS) electronics, all of which are open source. Based on simulated wind and deformation, we predict substantial effects on controllability which are verified in real-world flight experiments. All our code is shared as open source, for the benefit of the community and to facilitate lighter-than-air vehicle (LTAV) research. (Source code: https://github.com/robot-perception-group/airship_simulation.)
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Claus, J. M., I. P. Castro, and Z. ―T Xie. "Wind Direction Effects on Urban Like Roughness: an LES Study." In Springer Proceedings in Physics, 409–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03085-7_98.

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Conference papers on the topic "Wind direction"

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Xi, Yunhua, Chenyang Pan, and Yang Hu. "Wind Direction Division of Wind Farm Based on Spontaneous Aggregation Characteristics of Wind-direction Data." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8865891.

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Tanzawa, Yoshiaki, Takao Sato, and Takumi Hashizume. "Wind Direction Characteristics of a Vertical Axis Wind Turbine Using the Mechanism of a Bird’s Wing With a Wind Collector." In ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASMEDC, 2011. http://dx.doi.org/10.1115/power2011-55385.

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This paper describes the wind direction characteristics of the wind collector used for our 8th model of the vertical axis wind turbine using the mechanism of a bird’s wing. The 8th model is divided into two sections top and bottom. Each section looks like a Savonius wind turbine. The blade is divided into seven rows of plates. Each 0.18mm stainless plate has only one side attached to the frame. Wind from the outside enlarges the space between the blades, and passes through. However, wind from the inside closes the space. In the wind collector, four wind collection boards are located every 90 degrees around this wind turbine. In an earlier paper, it was confirmed that these collection boards collected 1.6 times the wind and resulted in twice the output. In this paper, the variations in the wind collector characteristics due to the wind direction are clarified experimentally. A wind tunnel experiment using six different wind directions shows that the output increases for four wind directions and decreases for one wind direction. Additionally, the computer simulation confirms the wind direction and the wind speed distribution around the wind turbine when the wind collection boards are in place.
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Xi Yu, E. Maguire, and D. Infield. "Wind direction error in the Lillgrund offshore wind farm." In 2nd IET Renewable Power Generation Conference (RPG 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.1839.

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Forsyth, R. J., A. Balogh, E. J. Smith, N. Murphy, and D. J. McComas. "The underlying magnetic field direction in Ulysses observations of the southern polar heliosphere." In Proceedings of the eigth international solar wind conference: Solar wind eight. AIP, 1996. http://dx.doi.org/10.1063/1.51519.

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He, Y. C., Q. S. Li, and B. W. Yan. "Identification of Spatial Modes Through Instantaneous Vibration Direction." In Eighth Asia-Pacific Conference on Wind Engineering. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-8012-8_127.

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Wang, Xiaohui, Yanjing Wu, and Wenyuan Xu. "WindCompass: Determine Wind Direction Using Smartphones." In 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2016. http://dx.doi.org/10.1109/sahcn.2016.7733027.

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Gaunaa, Mac, and Jens N. So̸rensen. "Experimental Investigation of Airfoil Subject to Harmonic Translatory Motions." In ASME 2002 Wind Energy Symposium. ASMEDC, 2002. http://dx.doi.org/10.1115/wind2002-35.

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This paper concerns an experimental investigation of a NACA 0015 airfoil subject to harmonic one-degree-of-freedom translatory motion. Specifically, unsteady pressure distributions were measured at a range of incidences and movement directions at reduced frequencies matching real life conditions for the lead-lag motion of wind turbine rotors. From the experimental results, hysteresis loops and aerodynamic damping were computed and compared to results from linear quasi-stationary theory and unsteady potential flow theory. The maximum negative aerodynamic damping was found to take place at moderate stall and an incidence of about 15°, at a movement direction close to the chordwise direction. Comparison with unsteady potential flow theory showed excellent agreement with the experimental data for incidences up to 5°. Linear quasi-stationary theory failed to reproduce the overall features of the aerodynamic damping for incidences above 12°.
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Simley, Eric, Paul Fleming, Jennifer King, and Michael Sinner. "Wake Steering Wind Farm Control With Preview Wind Direction Information." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9483008.

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Chen, Xiang, Fu-Jun Wang, Tian-Qi Liu, Zhen-Huan Chen, Xiao-Hu Li, and Tie-Ying Guan. "Wind Power Prediction Considering the Layout of the Wind Turbines and Wind Direction." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307514.

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Dowell, Jethro, Stephan Weiss, and David Infield. "Spatio-temporal prediction of wind speed and direction by continuous directional regime." In 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2014. http://dx.doi.org/10.1109/pmaps.2014.6960596.

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Reports on the topic "Wind direction"

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King, Jennifer R., Christopher Bay, Paul A. Fleming, Nathan Post, and Peter Bachant. Evaluating Wind Direction Consensus Methods: A Case Study. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1501672.

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Bento, Nuno, and Margarida Fontes. Direction and legitimation in system upscaling - planification of floating offshore wind. DINÂMIA'CET-IUL, Instituto Universitário de Lisboa, 2017. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2017.01.

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Young, George S. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada432157.

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Sikora, Todd D., and George S. Young. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada613570.

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Lyzenga, David R. Estimation of Ocean Surface Wind Speed and Direction From Polarimetric Radiometry Data. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533831.

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Sikora, Todd D. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629930.

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Young, George S., and Todd D. Sikora. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada630936.

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Du, Y., P. W. Vachon, and J. Wolfe. Wind direction estimation from SAR images of the ocean using wavelet analysis. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219819.

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Lippincott, Wendy, Ted Gutwein, Peter Gaiser, Homer Bartlett, and Mike Smythers. Antenna Design, Modeling, and Testing on the WindSat Satellite Wind Direction Measurement System. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada401199.

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Deryugina, Tatyana, Garth Heutel, Nolan Miller, David Molitor, and Julian Reif. The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. Cambridge, MA: National Bureau of Economic Research, November 2016. http://dx.doi.org/10.3386/w22796.

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