Auswahl der wissenschaftlichen Literatur zum Thema „Wind speed at the sea surface“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Wind speed at the sea surface" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Wind speed at the sea surface"
Monahan, Adam H. „The Temporal Autocorrelation Structure of Sea Surface Winds“. Journal of Climate 25, Nr. 19 (05.04.2012): 6684–700. http://dx.doi.org/10.1175/jcli-d-11-00698.1.
Der volle Inhalt der QuelleShi, Jian, Zhihao Feng, Yuan Sun, Xueyan Zhang, Wenjing Zhang und Yi Yu. „Relationship between Sea Surface Drag Coefficient and Wave State“. Journal of Marine Science and Engineering 9, Nr. 11 (10.11.2021): 1248. http://dx.doi.org/10.3390/jmse9111248.
Der volle Inhalt der QuelleMonahan, Adam Hugh. „Empirical Models of the Probability Distribution of Sea Surface Wind Speeds“. Journal of Climate 20, Nr. 23 (01.12.2007): 5798–814. http://dx.doi.org/10.1175/2007jcli1609.1.
Der volle Inhalt der QuelleSun, Cangjie, und Adam H. Monahan. „Statistical Downscaling Prediction of Sea Surface Winds over the Global Ocean“. Journal of Climate 26, Nr. 20 (04.10.2013): 7938–56. http://dx.doi.org/10.1175/jcli-d-12-00722.1.
Der volle Inhalt der QuelleObermann, Anika, Benedikt Edelmann und Bodo Ahrens. „Influence of sea surface roughness length parameterization on Mistral and Tramontane simulations“. Advances in Science and Research 13 (08.07.2016): 107–12. http://dx.doi.org/10.5194/asr-13-107-2016.
Der volle Inhalt der QuelleSun, Difu, Junqiang Song, Xiaoyong Li, Kaijun Ren und Hongze Leng. „A Novel Sea Surface Roughness Parameterization Based on Wave State and Sea Foam“. Journal of Marine Science and Engineering 9, Nr. 3 (25.02.2021): 246. http://dx.doi.org/10.3390/jmse9030246.
Der volle Inhalt der QuelleCheng, Tianyi, Zhaohui Chen, Jingkai Li, Qing Xu und Haiyuan Yang. „Characterizing the Effect of Ocean Surface Currents on Advanced Scatterometer (ASCAT) Winds Using Open Ocean Moored Buoy Data“. Remote Sensing 15, Nr. 18 (21.09.2023): 4630. http://dx.doi.org/10.3390/rs15184630.
Der volle Inhalt der QuelleTokinaga, Hiroki, und Shang-Ping Xie. „Wave- and Anemometer-Based Sea Surface Wind (WASWind) for Climate Change Analysis*“. Journal of Climate 24, Nr. 1 (01.01.2011): 267–85. http://dx.doi.org/10.1175/2010jcli3789.1.
Der volle Inhalt der QuelleBen Miloud, Haifa M., und Maha A. Alssabri. „The Effect of Wind Speed and Sea Surface Temperature on Chlorophyll –A Concentration in Sea Water Off the Libyan Coast“. Al-Mukhtar Journal of Basic Sciences 22, Nr. 1 (30.04.2024): 38–46. http://dx.doi.org/10.54172/whj12t15.
Der volle Inhalt der QuelleBell, T. G., W. De Bruyn, S. D. Miller, B. Ward, K. Christensen und E. S. Saltzman. „Air/sea DMS gas transfer in the North Atlantic: evidence for limited interfacial gas exchange at high wind speed“. Atmospheric Chemistry and Physics Discussions 13, Nr. 5 (21.05.2013): 13285–322. http://dx.doi.org/10.5194/acpd-13-13285-2013.
Der volle Inhalt der QuelleDissertationen zum Thema "Wind speed at the sea surface"
Avenas, Arthur. „Tropical cyclone dynamics revealed by satellite ocean surface wind speeds observations : the key contribution of the near-core surface wind structure“. Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0397.
Der volle Inhalt der QuelleDespite advances in predicting the tropical cyclones (TCs) trajectory and outer-core wind speeds, the numerical representation of the strongest winds associated with the most intense events is still an open issue, essentially because of the small radial extent of the TC core and the difficulty in understanding and resolving turbulent air-sea exchanges. Observational limitations have for a long time hindered accurate measurements of the ocean surface near the core region in extreme wind conditions, while geostationary satellites help characterizing the cloud patterns but lack direct information on the air-sea interface. Recently, synthetic aperture radar (SAR) has emerged as a promising satellite technology capable of producing high-resolution two dimensional measurements of the ocean surface wind speeds, thanks to new acquisition modes and algorithmic developments. Given these new observational opportunities, we investigate the contribution of near-core structural features, exclusively discernible through high-resolution instruments, to the TC dynamics. Using a simple theoretical framework and examining its consistency with SAR measurements, we demonstrate that the near-core surface winds modulate the evolution of the TC wind structure. The developed framework allows to illustrate how future measurements of ocean-atmosphere boundary layer characteristics could benefit the short- and long-term monitoring of TCs
Komarov, Alexander. „New methods for detecting dynamic and thermodynamic characteristics of sea ice from radar remote sensing“. Institute of Electrical and Electronics Engineers, 2014. http://hdl.handle.net/1993/30225.
Der volle Inhalt der QuelleZambra, Matteo. „Méthodes IA multimodales dans des contextes d’observation océanographique et de surveillance maritime multi-capteurs hétérogènes“. Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0391.
Der volle Inhalt der QuelleThe aim of this thesis is to study the simultaneous use of heterogeneous ocean datasets to improve the performance of predictive models used in scientific and operational fields for the simulation and analysis of the ocean and marine environment. Two distinct case studies were explored in the course of the thesis work. The first study focuses on the local estimation of wind speed at the sea surface from underwater soundscape measurements and atmospheric model products. The second study considers the spatial extension of the problem and the use of observations at different scales and spatial resolutions, from pseudo-observations simulating satellite images to time series measured by in-situ infrastructures. The recurring theme of these investigations is the multi-modality of the data fed into the model. That is, to what extent and how the predictive model can benefit from the use of spatio-temporally heterogeneous information channels. The preferred methodological tool is a simulation system based on variational data assimilation and deep learning concepts
Song, Qingtao. „Surface wind response to oceanic fronts /“. View online ; access limited to URI, 2006. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3225330.
Der volle Inhalt der QuelleSun, Yiping. „Sea state monitoring by radar altimeter from a microsatellite“. Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844478/.
Der volle Inhalt der QuellePark, Jeonghwan. „Investigations of GNSS-R for Ocean Wind, Sea Surface Height, and Land Surface Remote Sensing“. The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512095954817037.
Der volle Inhalt der QuelleMasson, Diane. „Spectral evolution of wind generated surface gravity waves in a dispersed ice field“. Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/29020.
Der volle Inhalt der QuelleScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Alamaro, Moshe 1948. „Wind wave tank for experimental investigation of momentum and enthalpy transfer from the ocean surface at high wind speed“. Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/51587.
Der volle Inhalt der QuelleIncludes bibliographical references (leaves 77-79).
Thermodynamic analysis and numerical modeling of hurricane intensity has shown that its is controlled by the enthalpy transfer from the ocean surface and by drag. Direct measurements of drag, evaporation, and sensible heat transfer are not easily performed on the high seas. Therefore, a wind wave tank has been constructed in which a few aspects of a tropical storm are simulated. The air velocity inside the annular tank is comparable to that of hurricane. However, the three dimensionality of the tank obscures the quantitative comparison between experiments and actual conditions over the surface of the ocean at high wind speeds. The design of the wind wave tank and the initial experiments create a foundation for future and more comprehensive experimental programs. This thesis focuses mainly on the design and engineering of the tank, and on the fluid mechanics of the rotational flow in the tank. It also provides preliminary experimental data on the drag at high wind speeds obtained by using spindown experiments.
by Moshe Alamaro.
S.M.
Shinozuka, Yohei. „Sea-Salt Optical Properties Over the Remote Oceans: Their Vertical Profiles and Variations with Wind Speed“. Thesis, University of Hawaii at Manoa, 2002. http://hdl.handle.net/10125/6961.
Der volle Inhalt der Quelleix, 95 leaves
Mouton, Dawid Petrus. „Satellite derived sea surface temperature and wind field variability in the Benguela upwelling region“. Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/6494.
Der volle Inhalt der QuelleAlthough upwelling was found to be more or less perennial along most of the coast south of 16 °S, seasonal variations were observed for both the SST and the upwelling favorable wind conditions. Inter-annual variability is common, and with these datasets it was possible to highlight periods of anomalous conditions. Results indicated that both the seasonal and inter-annual variability between the northern and southern parts of the Benguela system is quite different, with stronger seasonality observed in the southern Benguela.
Bücher zum Thema "Wind speed at the sea surface"
Halpern, David. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.
Den vollen Inhalt der Quelle findenHalpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.
Den vollen Inhalt der Quelle findenHalpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height, and ECMWF surface wind velocity during 1993. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1995.
Den vollen Inhalt der Quelle findenHalpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR/2 sea surface temperature, AMI surface wind velocity,and TOPEX/POSEIDON sea surface height during 1994. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1997.
Den vollen Inhalt der Quelle findenDavid, Halpern, und Jet Propulsion Laboratory (U. S.), Hrsg. An atlas of monthly mean distributions of SSMI surface wind speed, AVHRR sea surface temperature, AMI surface wind velocity, TOPEX/POSEIDON sea surface height during 1995. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1998.
Den vollen Inhalt der Quelle findenAndrews, Patricia L. Modeling wind adjustment factor and midflame wind speed for Rothermel's surface fire spread model. Fort Collins, CO: United States Department of Agriculture/Forest Service, Rocky Mountain Research Station, 2012.
Den vollen Inhalt der Quelle findenUnited States. National Weather Service., Hrsg. Guide to sea state, wind, and clouds. [Washington, D.C.?]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.
Den vollen Inhalt der Quelle findenHalpern, D. An atlas of monthly mean distributions of SSMI surface wind speed, ARGOS ... wind components during 1990. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, 1993.
Den vollen Inhalt der Quelle findenO'Muircheartaigh, I. G. Estimation of sea-surface windspeed from whitecap cover: Statistical approaches compared empirically and by simulation. Monterey, Calif: Naval Postgraduate School, 1985.
Den vollen Inhalt der Quelle findenG, Rehm Ronald, National Institute of Standards and Technology (U.S.) und Building and Fire Research Laboratory (U.S.), Hrsg. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Wind speed at the sea surface"
Yu, Kegen. „Sea Surface Wind Speed Estimation“. In Navigation: Science and Technology, 125–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0411-9_6.
Der volle Inhalt der QuelleZapevalov, Alexander, Konstantin Pokazeev und Tatiana Chaplina. „Physical Limitations of Accuracy of Remote Determination of Wind Speed Over the Ocean“. In Simulation of the Sea Surface for Remote Sensing, 199–222. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58752-9_10.
Der volle Inhalt der QuelleNiu, Xinliang, Feng Lu, Yuanhua Liu, Cheng Jing und Bei Wan. „Application and Technology of Bufeng-1 GNSS-R Demonstration Satellites on Sea Surface Wind Speed Detection“. In Lecture Notes in Electrical Engineering, 206–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3707-3_20.
Der volle Inhalt der QuelleZhou, Zhenxiong, Boheng Duan und Kaijun Ren. „Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-task Learning and Physical Information“. In Neural Information Processing, 357–69. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8076-5_26.
Der volle Inhalt der QuelleAlbert, Jiya, und Prasad K. Bhaskaran. „Seasonal and Inter-Annual Variability of Sea Surface Temperature and Its Correlation with Maximum Sustained Wind Speed in Bay of Bengal“. In Climate Change Impacts on Water Resources, 253–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64202-0_23.
Der volle Inhalt der QuelleTambke, J., J. A. T. Bye, Bernhard Lange und J. O. Wolff. „Wind Speed Profiles above the North Sea“. In Wind Energy, 27–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_5.
Der volle Inhalt der QuelleSoloviev, Alexander, und Roger Lukas. „High Wind Speed Regime“. In The Near-Surface Layer of the Ocean, 397–450. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7621-0_6.
Der volle Inhalt der QuelleLiu, W. Timothy, und Xiaosu Xie. „Sea Surface Wind/Stress Vector“. In Encyclopedia of Remote Sensing, 759–67. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_168.
Der volle Inhalt der QuelleSchmidt, Henrik, Tuncay Akal und W. A. Kuperman. „Low Frequency Wind Generated Ambient Noise in Shallow Water“. In Sea Surface Sound, 273–80. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_20.
Der volle Inhalt der QuelleFarmer, D. M., und S. Vagle. „Observations of High Frequency Ambient Sound Generated by Wind“. In Sea Surface Sound, 403–15. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_29.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Wind speed at the sea surface"
Said, Faozi, Zorana Jelenak, Paul S. Chang, Wenqing Tang, Alexander G. Fore, Alexander Akins und Simon H. Yueh. „Exploring SMAP Wind Speed Potential Sea Surface Salinity and Sea Surface Temperature Residual Dependencies“. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10282635.
Der volle Inhalt der QuelleHu, Yongxiang, und J. B. Nee. „High resolution sea surface wind speed from CALIOP measurements“. In Optical Instrumentation for Energy and Environmental Applications. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/e2.2014.ew3a.2.
Der volle Inhalt der QuelleBao, Qingliu, Youguang Zhang, Wentao An, Limin Cui, Shuyan Lang, Mingsen Lin und Peng Gong. „Sea surface wind speed inversion using low incident NRCS“. In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730205.
Der volle Inhalt der QuelleHuang, L., A. Buono und M. Migliaccio. „SAR Speckle as a Proxy of Sea Surface Wind Speed“. In 2018 IEEE/OES Baltic International Symposium (BALTIC). IEEE, 2018. http://dx.doi.org/10.1109/baltic.2018.8634861.
Der volle Inhalt der QuelleYu, Kegen, Chris Rizos und Andrew Dempster. „Sea surface wind speed estimation based on GNSS signal measurements“. In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350950.
Der volle Inhalt der QuelleXu, Yuan, Jingsong Yang, Guangjun Xu, Xiaoyan Chen und Lin Ren. „Data fusion of sea surface wind speed from multisatellite altimeters“. In Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, herausgegeben von Jinwen Tian und Jie Ma. SPIE, 2013. http://dx.doi.org/10.1117/12.2031409.
Der volle Inhalt der QuelleHuang, L., M. Migliaccio, F. Nunziata, V. Carcione, Z. Zhang und W. Yu. „A SAR Cross-Pol Correlation Sea Surface Wind Speed Study“. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8519536.
Der volle Inhalt der QuelleSun, Youjun, Shuxuan Wang und Lei Wang. „Multi-step regional Sea surface wind speed prediction based on ConvLSTM“. In 2023 35th Chinese Control and Decision Conference (CCDC). IEEE, 2023. http://dx.doi.org/10.1109/ccdc58219.2023.10327086.
Der volle Inhalt der QuelleWang, Wei, Eric W. Gill und Weimin Huang. „Determination of sea surface wind speed for a fetch-limited sea using high frequency radar“. In 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). IEEE, 2016. http://dx.doi.org/10.1109/antem.2016.7550121.
Der volle Inhalt der QuelleWei, Shiyan, Sheng Yang und Dewei Xu. „Sea surface wind speed estimation by using HY-2A scatterometer wind and ocean ambient noise“. In 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2017. http://dx.doi.org/10.1109/icspcc.2017.8242627.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Wind speed at the sea surface"
Wenren, Yonghu, Luke Allen und Robert Haehnel. SAGE-PEDD user manual. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/44960.
Der volle Inhalt der QuelleAvara, Elton P., und Bruce T. Miers. Surface Wind Speed Distributions. Fort Belvoir, VA: Defense Technical Information Center, Juni 1992. http://dx.doi.org/10.21236/ada253268.
Der volle Inhalt der QuelleGregow, Hilppa, Antti Mäkelä, Heikki Tuomenvirta, Sirkku Juhola, Janina Käyhkö, Adriaan Perrels, Eeva Kuntsi-Reunanen et al. Ilmastonmuutokseen sopeutumisen ohjauskeinot, kustannukset ja alueelliset ulottuvuudet. Suomen ilmastopaneeli, 2021. http://dx.doi.org/10.31885/9789527457047.
Der volle Inhalt der QuelleAndrews, Patricia L. Modeling wind adjustment factor and midflame wind speed for Rothermel's surface fire spread model. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2012. http://dx.doi.org/10.2737/rmrs-gtr-266.
Der volle Inhalt der QuelleLyzenga, 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.
Der volle Inhalt der QuelleYoung, George S. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, Januar 2004. http://dx.doi.org/10.21236/ada432157.
Der volle Inhalt der QuelleSikora, Todd D., und 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.
Der volle Inhalt der QuelleSikora, 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.
Der volle Inhalt der QuelleYoung, George S., und 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.
Der volle Inhalt der QuelleGetzlaff, Klaus. Simulated near-surface speed combined with ice cover from VIKING20X simulation. GEOMAR, 2022. http://dx.doi.org/10.3289/iatlantic_viking20x_5day_2000_2009.
Der volle Inhalt der Quelle