Relevant bibliographies by topics / Winds

Academic literature on the topic 'Winds'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Winds"

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Bradley, Stuart, and Alexander Strehz. "Corrections to sodar Doppler winds due to wind drift." Meteorologische Zeitschrift 24, no. 6 (November 5, 2015): 605–14. http://dx.doi.org/10.1127/metz/2014/0627.

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Douglass, Scott L., and J. Richard Weggel. "LABORATORY EXPERIMENTS ON THE INFLUENCE OF WIND ON NEARSHORE WAVE BREAKING." Coastal Engineering Proceedings 1, no. 21 (January 29, 1988): 46. http://dx.doi.org/10.9753/icce.v21.46.

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The influence of wind on nearshore breaking waves was investigated in a laboratory wave tank. Breaker location, geometry, and type depended upon the wind acting on the wave as it broke. Onshore winds tended to cause waves to break earlier, in deeper water, and to spill: offshore winds tended to cause waves to break later, in shallower water, and to plunge. A change in wind direction from offshore to onshore increased the surf zone width by up to 100%. Wind's effect was greatest for waves which were near the transition between breaker types in the absence of wind. For onshore winds, it was observed that microscale breaking can initiate spilling breaking by providing a perturbation on the crest of the underlying wave as it shoals.
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Wang, Weichen, Susan A. Kassin, S. M. Faber, David C. Koo, Emily C. Cunningham, Hassen M. Yesuf, Guillermo Barro, et al. "The Baltimore Oriole’s Nest: Cool Winds from the Inner and Outer Parts of a Star-forming Galaxy at z = 1.3." Astrophysical Journal 930, no. 2 (May 1, 2022): 146. http://dx.doi.org/10.3847/1538-4357/ac6592.

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Abstract Strong galactic winds are ubiquitous at z ≳ 1. However, it is not well-known where inside galaxies these winds are launched from. We study the cool winds (∼104 K) in two spatial regions of a massive galaxy at z = 1.3, which we nickname the “Baltimore Oriole’s Nest.” The galaxy has a stellar mass of 1010.3±0.3 M ⊙, is located on the star-forming main sequence, and has a morphology indicative of a recent merger. Gas kinematics indicate a dynamically complex system with velocity gradients ranging from 0 to 60 km s−1. The two regions studied are: a dust-reddened center (Central region), and a blue arc at 7 kpc from the center (Arc region). We measure the Fe ii and Mg ii absorption line profiles from deep Keck/DEIMOS spectra. Blueshifted wings up to 450 km s−1 are found for both regions. The Fe ii column densities of winds are 1014.7±0.2 cm−2 and 1014.6±0.2 cm−2 toward the Central and Arc regions, respectively. Our measurements suggest that the winds are most likely launched from both regions. The winds may be driven by the spatially extended star formation, the surface density of which is around 0.2 M ⊙ yr−1 · kpc−2 in both regions. The mass outflow rates are estimated to be 4 M ⊙ yr−1 and 3 M ⊙ yr−1 for the Central and Arc regions, with uncertainties of one order of magnitude or more. The findings of this work and a few previous studies suggest that the cool galactic winds at z ≳ 1 might be commonly launched from the entire spatial extents of their host galaxies, due to extended galaxy star formation.
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Ivanov, Millen M., Leonid N. Georgiev, T. S. Valchev, B. V. Efremova, and Svetozar A. Zhekov. "Some aspects of the spectral variability of WR 141." Symposium - International Astronomical Union 193 (1999): 71–72. http://dx.doi.org/10.1017/s0074180900205007.

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An analysis of the behaviour of the He II 5411 line wings is presented. The spectral classification of the companion is discussed on the basis of a simple geometric model of the colliding stellar winds zone.
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Acker, A., and Y. Grosdidier. "Wind Inhomogeneities in [WC] Central Stars: From Late-to Early-Type Nuclei." Symposium - International Astronomical Union 209 (2003): 245. http://dx.doi.org/10.1017/s0074180900208632.

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In Grosdidier et al. (2000, 2001), wind fluctuations were described for five [WC 8–10] stars. In this poster we present new results discussing the case of the hotter subtype [WO 4] (Grosdidier & Acker 2002). Specifically, we concentrate on the CIVλλ5801/12 emission-line variability observed for NGC 1501 and NGC 6751 (see also Acker & Durand, these proceedings). Main results: NGC 1501: The OVλ5590 and CIVλλ5801/12 emission lines as well as the CIV/CIII complex around 5690Å are variable at the 1% level. The amplitudes of the variations range from about 5% (OV), up to 7% (CIV) of the adjacent continuum flux. The HeIλ5876 is also found to be variable; NGC 6751: For this star, significant variability at the 1% level is detected for the CIVλλ5801/12 emission line only. Note that the variations are quite huge since they span 6–10% of the adjacent continuum flux. Small variations are seen around the line centre but they are essentially located in the red and blue wings of the line, the latter showing the largest level of variability. Generally, the amplitudes of the variations in [WO 4] central stars range up to 10% of the adjacent continuum flux, over timescales of hours, or days. This result is essentially the same than that found for [WC]-late type stars. We expect strong, hydrogen-deficient [WC] winds to be extreme examples for central stars of PN, so that any fine structure found in [WC] winds may apply to all winds of central stars of PN, much as one is finding now that weak, massive O-star winds also show the same fine structure as massive WR winds. The consequences of clumping in hot-star winds are manifold, including substantial constraints on the effective mass-loss rates, and their possible impact on the surrounding nebula itself (Acker et al. 2002). On the whole, the winds of all [WC] central stars are significantly stochastically variable on relatively short time-scales. This supports a turbulent origin.
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Owocki, Stanley P., and Kenneth G. Gayley. "The dynamics of Wolf-Rayet winds." Symposium - International Astronomical Union 163 (1995): 138–46. http://dx.doi.org/10.1017/s0074180900201794.

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We review the dynamics of Wolf-Rayet stellar winds, with emphasis on how multi-line scattering can lead to mass loss rates for which the wind's radial momentum flux Ṁv∞ greatly exceeds the limit for single-scattering of the star's radiative momentum L*/c. The geometrical considerations that allow this to occur are illuminated through connections to multiple scattering in an effectively gray medium. The so-called “WR wind momentum problem” would be better characterized as an “opacity problem” of simply identifying a sufficiently dense ensemble of optically thick lines.
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Wu, Jin. "Wind-Stress Coefficients at Light Winds." Journal of Atmospheric and Oceanic Technology 5, no. 6 (December 1988): 885–88. http://dx.doi.org/10.1175/1520-0426(1988)005<0885:wscalw>2.0.co;2.

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Toba, Yoshiaki, Kozo Okada, and Ian S. F. Jones. "The Response of Wind-Wave Spectra to Changing Winds. Part I: Increasing Winds." Journal of Physical Oceanography 18, no. 9 (September 1988): 1231–40. http://dx.doi.org/10.1175/1520-0485(1988)018<1231:trowws>2.0.co;2.

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Wright, Ethan E., Mark A. Bourassa, Ad Stoffelen, and Jean-Raymond Bidlot. "Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5." Remote Sensing 13, no. 22 (November 12, 2021): 4558. http://dx.doi.org/10.3390/rs13224558.

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Buoys provide key observations of wind speed over the ocean and are routinely used as a source of validation data for satellite wind products. However, the movement of buoys in high seas and the airflow over waves might cause inaccurate readings, raising concern when buoys are used as a source of wind speed comparison data. The relative accuracy of buoy winds is quantified through a triple collocation (TC) exercise comparing buoy winds to winds from ASCAT and ERA5. Differences between calibrated buoy winds and ASCAT are analyzed through separating the residuals by anemometer height and testing under high wind-wave and swell conditions. First, we converted buoy winds measured near 3, 4, and 5 m to stress-equivalent winds at 10 m (U10S). Buoy U10S from anemometers near 3 m compared notably lower than buoy U10S from anemometers near 4 and 5 m, illustrating the importance of buoy choice in comparisons with remote sensing data. Using TC calibration of buoy U10S to ASCAT in pure wind-wave conditions, we found that there was a small, but statistically significant difference between height adjusted buoy winds from buoys with 4 and 5 m anemometers compared to the same ASCAT wind speed ranges in high seas. However, this result does not follow conventional arguments for wave sheltering of buoy winds, whereby the lower anemometer height winds are distorted more than the higher anemometer height winds in high winds and high seas. We concluded that wave sheltering is not significantly affecting the winds from buoys between 4 and 5 m with high confidence for winds under 18 ms−1. Further differences between buoy U10S and ASCAT winds are observed in high swell conditions, motivating the need to consider the possible effects of sea state on ASCAT winds.
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Hoai, Do Thi, Pham Tuyet Nhung, Pham Tuan-Anh, Pierre Darriulat, Pham Ngoc Diep, Nguyen Thi Phuong, and Tran Thi Thai. "On the origin of high Doppler velocity wings in the spectra of O-rich AGB stars." EPJ Web of Conferences 240 (2020): 05001. http://dx.doi.org/10.1051/epjconf/202024005001.

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Millimetre ALMA observations of the nascent winds of several Oxygen rich AGB stars have revealed the high Doppler velocity wings in their spectra. However, the physics underlying their production is unclear. In this paper, we illustrate the argument with four examples of oxygen-rich AGB stars: EP Aqr, R Dor, L2 Pup and Mira Ceti.
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Dissertations / Theses on the topic "Winds"

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Bepple, Nancy. "A comparison of satellite winds and surface buoy winds." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28902.

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This thesis investigates the relationship between open hexagonal cell cloud motion and surface winds in the northeast Pacific Ocean. Cloud targets are tracked using an automatic scheme fashioned after Barnea and Silverman's (1972) Sequential Similarity Detection Algorithm. The cloud motion vectors obtained are comparable to results obtained by tracking the same cloud targets manually. The well-organized character of open hexagonal cells permits a comparison of various methods of estimating the height of the cloud motion vectors. One method, which uses the minimum infrared pixel value, and a second method, which establishes an arbitrary minimum cloud top temperature, are both found to be unsuitable because of cirrus contamination and partially cloud filled pixels. The cloud motion winds for open hexagonal cells and disorganized cumulus clouds are compared with winds measured at collocated surface buoys. The lack of directional shears between open hexagonal cell movements and surface winds, and directional shears of 14° to 27° for the disorganized cumulus clouds, agree with other observations for the two types of clouds. The differences between the two cloud types suggests that any estimate of surface winds from cloud motion should include cloud type information.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
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Rahn, David. "Forcing and structure of the 22-25 June 2006 coastally trapped wind reversal using aircraft observations and numerical simulations." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1799961831&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Wise, Scott L. "Octet for Winds." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368025151.

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Kelley, Owen A. "The association of tall eyewall convection with tropical cyclone intensification." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3073.

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Thesis (Ph.D.)--George Mason University, 2008.
Vita: p. 320. Thesis director: Michael Summers. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 291-319). Also issued in print.
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Au, Man Kai. "Monitory and validation of the wind characteristics at the Stonecutters Bridge site /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202007%20AU.

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Ndzukuma, Sibusiso. "Statistical tools for wind energy generation." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020627.

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In this study we conduct wind resource assessment to evaluate the annual energy production of a wind turbine. To estimate energy production of a wind turbine over a period of time, the power characteristics of the wind turbine are integrated with the probabilities of the wind speed expected at a chosen site. The first data set was obtained from a wind farm in Denmark. We propose several probability density functions to model the distribution of the wind speed. We use techniques from nonlinear regression analysis to model the power curve of a wind turbine. The best fit distribution model is assessed by performing numeric goodness–of–fit measures and graphical analyses. Johnson’s bounded (SB) distribution provides the best fit model with the smallest Kolmogorov–Smirnov (K-S) test statistic . 15. The four parameter logistic nonlinear regression (4PL) model is determined to provide the best fit to the power curve data, according to the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). The estimated annual energy yield is compared to the actual production of the wind turbine. Our models underestimate the actual energy production by a 1 difference. In Chapter Six we conduct data processing, analyses and comparison of wind speed distributions using a data set obtained from a measuring wind mast mounted in Humansdorp, Eastern Cape. The expected annual energy production is estimated by using the certified power curve as provided by the manufacturer of the wind turbine under study. The commonly used Weibull distribution is determined to provide the best fit distribution model to our selected models. The annual energy yield is estimated at 7.33 GWh, with a capacity factor of 41.8 percent.
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Laupattarakasem, Peth. "An Improved Hurrican Wind Vector Retrieval Algorithm Using Sea Winds Scatterometer." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2522.

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Over the last three decades, microwave remote sensing has played a significant role in ocean surface wind measurement, and several scatterometer missions have flown in space since early 1990's. Although they have been extremely successful for measuring ocean surface winds with high accuracy for the vast majority of marine weather conditions, unfortunately, the conventional scatterometer cannot measure extreme winds condition such as hurricane. The SeaWinds scatterometer, onboard the QuikSCAT satellite is NASA's only operating scatterometer at present. Like its predecessors, it measures global ocean vector winds; however, for a number of reasons, the quality of the measurements in hurricanes are significantly degraded. The most pressing issues are associated with the presence of precipitation and Ku-band saturation effects, especially in extreme wind speed regime such as tropical cyclones (hurricanes and typhoons). Under this dissertation, an improved hurricane ocean vector wind retrieval approach, named as Q-Winds, was developed using existing SeaWinds scatterometer data. This unique data processing algorithm uses combined SeaWinds active and passive measurements to extend the use of SeaWinds for tropical cyclones up to approximately 50 m/s (Hurricane Category-3). Results show that Q-Winds wind speeds are consistently superior to the standard SeaWinds Project Level 2B wind speeds for hurricane wind speed measurement, and also Q-Winds provides more reliable rain flagging algorithm for quality assurance purposes. By comparing to H*Wind, Q-Winds achieves ~9% of error, while L2B-12.5km exhibits wind speed saturation at ~30 m/s with error of ~31% for high wind speed (> 40 m/s).
Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering PhD
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Woods, John Anthony. "Winds in cataclysmic variables." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315732.

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Palladino, Chiara. "Numbers, winds and stars." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-221565.

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Moscoso, Michael Douglas. "Electron-positron pair winds /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Books on the topic "Winds"

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Johansen, Iris. The wind dancer: Storm winds. New York: Bantam Books, 2008.

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Johansen, Iris. The wind dancer: Storm winds. New York: Bantam Books, 2008.

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Fielding, Xan. Aeolus displayed. Francestown, N.H: Typographeum, 1991.

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Greeley, Ronald. Wind as a geological process on Earth, Mars, Venus and Titan. Cambridge: Cambredge University Press, 1987.

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Georg, Duensing, ed. Die Windverhältnisse in überseeischen Ländern im Hinblick auf die Windkraftnutzung. Hamburg: Deutscher Wetterdienst, Seewetteramt, 1985.

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Risø National Laboratory. Meteorology and Wind Energy Department. Annual progress report: 1 January-31 December 1993. Roskilde: Risø National Laboratory, 1994.

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Prague, Czech Republic) East European Conference on Wind Engineering (2nd 1998. 2nd EECWE '98: 2nd East European Conference on Wind Engineering : 7-11 September 1998, Prague, Czech Republic : proceedings. Prague: ITAM, [Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic], 1998.

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Golub, L. Solar and stellar coronal plasmas: Semiannual report #12-#17 for the period 1 May 1986 through 30 April 1989. Cambridge, Mass: Smithsonian Institution, Astrophysical Laboratory, 1989.

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Salmon, J. R. Wind resource assessment in Southwestern Ontario. Ottawa: Renewable Energy Technologies, CANMET Energy Technology Centre, 2000.

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Tammelin, Bengt. Meteorologista taustatietoa tuulienergiakartoitukselle. Helsinki: Ilmatieteen laitos, 1991.

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Book chapters on the topic "Winds"

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Chevez, Agustin. "Winds." In The Pilgrim’s Guide to the Workplace, 65–66. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4759-9_19.

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AbstractI experienced my fair share of days walking in severe, gusty wind. The weather alert on my phone warned me of peak gusts of over 90 km/h and when it did, I relied on my walking sticks to keep me upright. I also paid extra attention to potential falling branches and even entire trees – gum trees have notoriously shallow roots. Strong wind also made for noticeably longer, or shorter, walking days depending on the wind’s direction and it played a role in whether camping was hard or simply impossible.
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Hall, J. J. "Winds." In The Meteorology of Posidonius, 96–112. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429399930-11.

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Bennett, James T. "Winds Subside or Wind Subsidies?" In Unsustainable, 71–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78904-6_4.

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Campbell, C. G. "Magnetic Winds." In Astrophysics and Space Science Library, 251–94. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-5288-6_12.

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MacGregor, K. B. "Stellar Winds." In Solar and Astrophysical Magnetohydrodynamic Flows, 301–35. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0265-7_14.

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Velden, Chris. "Tropospheric Winds." In Encyclopedia of Remote Sensing, 849–51. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_184.

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Stahler, Steven. "Stellar Winds." In Encyclopedia of Astrobiology, 1595–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_1513.

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Owocki, Stan. "Stellar Winds." In Planets, Stars and Stellar Systems, 735–88. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5615-1_15.

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Campbell, C. G. "Magnetic Winds." In Astrophysics and Space Science Library, 251–94. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-010-9471-9_12.

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Völk, Heinrich J., D. Breitschwerdt, and J. F. McKenzie. "Galactic winds." In Structure and Dynamics of the Interstellar medium, 448–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0114915.

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Conference papers on the topic "Winds"

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Jericha, H., E. Göttlich, and W. Sanz. "Novel Wind Turbine for Catabatic Winds." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69263.

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On many sea shores around the world high speed winds fall down from mountains and flow horizontally over the sea surface close to the shore. A new wind turbine design is presented which is able to catch this energy. The engine is intended to be mounted on a bridge between two ship bodies similar to a catamaran. Wind enters horizontally — the wind turbine resembling a very large jet engine — and is reduced in speed by a diffuser. The blade arrangement is similar to a last stage steam turbine ahead of a condenser. Power is produced by this single stage reaction turbine. The deficiency of flow power at the turbine outlet is counteracted by energy from the surrounding air flow by feeding bypass air into the outlet area behind the rotor blades. The now increased flow carries sufficient flow power to pass through the outlet diffuser and to reach the pressure conditions behind the wind turbine. The wind turbine rotor drives the electrical power generator via a planetary gear box. Hydrogen and Oxygen generated by electrolysers are proposed to be used as energy storage.
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Stoffelen, Ad, Gert-Jan Marseille, Tommaso Parinello, Oliver Reitebuch, Michael Rennie, and Anne Grete Straume. "Future Space-Based Doppler Wind Lidar Winds." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9554250.

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Johnson, Steven C. "Space Shuttle Wind Profiler." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.tud3.

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Knowledge of winds is required to reduce aerodynamic loads on the Space Shuttle during launch. Knowledge of winds is also required to safely land the unpowered orbiter. Balloons are currently used in both instances to produce the necessary wind profiles. The balloons require an hour to rise through the altitude range, sometimes drifting far from the area where the wind measurement is desired. As a result, the correlation between the actual winds encountered by the vehicle and those measured is reduced. NASA is investigating the potential of alternate wind sensors to produce more local wind measurement in less time to increase this correlation. Lidar is one technique under investigation.
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Nordstrom, Steven, Arisoa Randrianasolo, Eddy Borera, and Fortune Mhlanga. "Winds of change." In SIGITE/RIIT'13: SIGITE/RIIT 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2512276.2512298.

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Zou, Simin, and Xuhui He. "Experimental study on the influence of gust-wind on a high-speed railway train-viaduct system." In IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/nanjing.2022.1927.

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<p>As the high-speed railway emerges in Eurasia, a comprehensive understanding of the aerodynamic problems – particularly extreme wind events – is vital to the success of the safety, operational efficiency, and transportation industry. Such knowledge of the effect of extreme wind on the train and bridge system has been hindered by a lack of available field test data. In light of limited field measured data to arrive at a consensus on quantifying key parameters characterizing the non-stationarity winds, accuracy associated with wind velocities is carried out using wind tunnel experimental approaches in this study. Compared with atmospheric boundary layer winds, which are customarily treated as stationary, winds associated with gust-fronts originating from a thunderstorm/downburst/tornado exhibit rapid changes during a short period which changes in direction may accompany. To realistically capture the characteristics of gust-front winds and their attendant load effect, a new gust-wind generator was presented, built in the CSU wind tunnel. Under a condition of the combined operation between a gust-wind generator and wind tunnel, the gust-front wind characteristics and effects on the train-bridge system were analyzed.</p>
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Kefala, Elina, and Valenti Bosch-Ramon. "On the interaction of pulsar winds and clumpy stellar winds." In High Energy Phenomena in Relativistic Outflows VII. Trieste, Italy: Sissa Medialab, 2020. http://dx.doi.org/10.22323/1.354.0031.

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Richmond, R. D., P. D. Woodworth, R. Fetner, J. A. Overbeck, M. Salisbury, S. W. Henderson, S. M. Hannon, and S. R. Vetorino. "Eye Safe Solid State Ladar For Airborne Wind Pofiling." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.tua3.

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Every airborne operation is affected by the winds. This is particularly true for operations where objects are released from an aircraft to fall to the ground without controls (e.g. cargo parachute deliveries and unguided bomb releases). Aircraft crews have used a variety of techniques (e.g. winds from closest weather station, balloon launch winds, winds at altitude, etc.) in an attempt to determine the intervening winds during such missions so that release points could be adjusted to compensate for these winds. These efforts have had limited success. A desired alternative to these approaches would be to have a sensor on board the aircraft that could directly measure the wind fields in real-time. This project, which is the subject of this paper, is designed to demonstrate exactly that type of airborne sensor using an eye-safe laser radar. We defined this system as an “interim operational capability” (IOC), because the system was not designed nor engineered for this particular application. Rather, we assembled a system using available sub-systems that could be installed on a particular type of aircraft in a short timeframe and thereby provide a wind measuring capability for airdrop missions should the need arise.
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Dupree, A. K. "Winds from cool stars." In Proceedings of the eigth international solar wind conference: Solar wind eight. AIP, 1996. http://dx.doi.org/10.1063/1.51361.

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Yasrab, Muhammad, and Alexander V. Babanin. "Advancing the Performance of Wave Forecast Models Under Low Wind Conditions." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62561.

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Abstract:
Abstract Ocean surface is complex and difficult to predict accurately due to its random nature. Ocean surface waves in strong wind conditions have been widely studied for last few decades. Almost half of world’s winds are below 7.5 m/s and the physics of such winds contains a lot of uncertainties. The simulation of ocean waves is largely dependent on the driving winds force accuracy and source term parameterizations. However, low winds are often ignored on the perception of their lesser effect on overall results of existing models. It is important to understand the relative strength/ weaknesses of wave forecast models under low wind conditions from scientific perspective which should lead to improved wave forecast and wave-ocean-weather coupling capabilities. There are many critical thresholds involved in the initial generation and growth of wind waves whereas current parameterizations of wave models are mostly based on moderate – high wind conditions. Wave model’s performance, although not very prominent, contains bias under low winds conditions and these thresholds need to be embedded in current physics of wave forecast models for more accurate simulations. In this study, WAVEWATCH III (v6.07) wave forecast model with observation based source terms parameterizations (ST6 package) is used to simulate waves on a global scale. The model’s output is analyzed with a globally calibrated and cross validated global dataset of 13 altimeters to analyze its performance under low wind conditions. A relative error of −1 to 6 is observed in global significant wave heights simulated by WAVEWATCH III model compared to altimeter’s measured wave heights for wind speeds less than 5ms−1.
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Vickery, Peter J. "Analysis of Hurricane Winds." In Offshore Technology Conference. Offshore Technology Conference, 2014. http://dx.doi.org/10.4043/25244-ms.

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Reports on the topic "Winds"

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Lee, Harley C., and Michael Boice. Maine Coast Winds. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/764433.

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Avery, Richard. Maine coast winds. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/760513.

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Tomlin, R. The winds of Fermilab. Office of Scientific and Technical Information (OSTI), December 1990. http://dx.doi.org/10.2172/6255496.

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Helmus, Jonathan, and Virendra P. Ghate. Improved Estimates of Moments and Winds from Radar Wind Profiler. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1343609.

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Foster, K., and S. Wharton. Winds of Change: Assessing Wind Energy Efficiency in Complex Terrain. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1559401.

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Wade, John, and R. Wittrup. Analysis of Extreme Winds at Pacific Northwest Wind Energy Survey Sites. Office of Scientific and Technical Information (OSTI), September 1987. http://dx.doi.org/10.2172/7051337.

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Gignac, Stormi. Look of the Southwestern Winds. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-697.

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Pauley, P. Superobbing Satellite Winds for NAVDAS. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada411981.

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Jason Huckaby and Harley Lee. Main Coast Winds - Final Scientific Report. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/877706.

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Patton, Edward G. Final Report for Project: Impacts of stratification and non-equilibrium winds and waves on hub-height winds. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1322012.

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