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Artykuły w czasopismach na temat "Wind speed at the sea surface"
Monahan, Adam H. "The Temporal Autocorrelation Structure of Sea Surface Winds". Journal of Climate 25, nr 19 (5.04.2012): 6684–700. http://dx.doi.org/10.1175/jcli-d-11-00698.1.
Pełny tekst źródłaShi, Jian, Zhihao Feng, Yuan Sun, Xueyan Zhang, Wenjing Zhang i 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.
Pełny tekst źródłaMonahan, Adam Hugh. "Empirical Models of the Probability Distribution of Sea Surface Wind Speeds". Journal of Climate 20, nr 23 (1.12.2007): 5798–814. http://dx.doi.org/10.1175/2007jcli1609.1.
Pełny tekst źródłaSun, Cangjie, i Adam H. Monahan. "Statistical Downscaling Prediction of Sea Surface Winds over the Global Ocean". Journal of Climate 26, nr 20 (4.10.2013): 7938–56. http://dx.doi.org/10.1175/jcli-d-12-00722.1.
Pełny tekst źródłaObermann, Anika, Benedikt Edelmann i Bodo Ahrens. "Influence of sea surface roughness length parameterization on Mistral and Tramontane simulations". Advances in Science and Research 13 (8.07.2016): 107–12. http://dx.doi.org/10.5194/asr-13-107-2016.
Pełny tekst źródłaSun, Difu, Junqiang Song, Xiaoyong Li, Kaijun Ren i 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.
Pełny tekst źródłaCheng, Tianyi, Zhaohui Chen, Jingkai Li, Qing Xu i 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.
Pełny tekst źródłaTokinaga, Hiroki, i Shang-Ping Xie. "Wave- and Anemometer-Based Sea Surface Wind (WASWind) for Climate Change Analysis*". Journal of Climate 24, nr 1 (1.01.2011): 267–85. http://dx.doi.org/10.1175/2010jcli3789.1.
Pełny tekst źródłaBen Miloud, Haifa M., i 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.
Pełny tekst źródłaBell, T. G., W. De Bruyn, S. D. Miller, B. Ward, K. Christensen i 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.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaDespite 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.
Pełny tekst źródłaZambra, 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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaSun, Yiping. "Sea state monitoring by radar altimeter from a microsatellite". Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844478/.
Pełny tekst źródłaPark, 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.
Pełny tekst źródłaMasson, 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.
Pełny tekst źródłaScience, 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.
Pełny tekst źródłaIncludes 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.
Pełny tekst źródłaix, 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.
Pełny tekst źródłaAlthough 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.
Książki na temat "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.
Znajdź pełny tekst źródłaHalpern, 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.
Znajdź pełny tekst źródłaHalpern, 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.
Znajdź pełny tekst źródłaHalpern, 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.
Znajdź pełny tekst źródłaDavid, Halpern, i Jet Propulsion Laboratory (U. S.), red. 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.
Znajdź pełny tekst źródłaAndrews, 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.
Znajdź pełny tekst źródłaUnited States. National Weather Service., red. Guide to sea state, wind, and clouds. [Washington, D.C.?]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.
Znajdź pełny tekst źródłaHalpern, 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.
Znajdź pełny tekst źródłaO'Muircheartaigh, I. G. Estimation of sea-surface windspeed from whitecap cover: Statistical approaches compared empirically and by simulation. Monterey, Calif: Naval Postgraduate School, 1985.
Znajdź pełny tekst źródłaG, Rehm Ronald, National Institute of Standards and Technology (U.S.) i Building and Fire Research Laboratory (U.S.), red. 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.
Znajdź pełny tekst źródłaCzęści książek na temat "Wind speed at the sea surface"
Yu, Kegen. "Sea Surface Wind Speed Estimation". W Navigation: Science and Technology, 125–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0411-9_6.
Pełny tekst źródłaZapevalov, Alexander, Konstantin Pokazeev i Tatiana Chaplina. "Physical Limitations of Accuracy of Remote Determination of Wind Speed Over the Ocean". W 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.
Pełny tekst źródłaNiu, Xinliang, Feng Lu, Yuanhua Liu, Cheng Jing i Bei Wan. "Application and Technology of Bufeng-1 GNSS-R Demonstration Satellites on Sea Surface Wind Speed Detection". W Lecture Notes in Electrical Engineering, 206–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3707-3_20.
Pełny tekst źródłaZhou, Zhenxiong, Boheng Duan i Kaijun Ren. "Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-task Learning and Physical Information". W Neural Information Processing, 357–69. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8076-5_26.
Pełny tekst źródłaAlbert, Jiya, i Prasad K. Bhaskaran. "Seasonal and Inter-Annual Variability of Sea Surface Temperature and Its Correlation with Maximum Sustained Wind Speed in Bay of Bengal". W 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.
Pełny tekst źródłaTambke, J., J. A. T. Bye, Bernhard Lange i J. O. Wolff. "Wind Speed Profiles above the North Sea". W Wind Energy, 27–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_5.
Pełny tekst źródłaSoloviev, Alexander, i Roger Lukas. "High Wind Speed Regime". W 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.
Pełny tekst źródłaLiu, W. Timothy, i Xiaosu Xie. "Sea Surface Wind/Stress Vector". W 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.
Pełny tekst źródłaSchmidt, Henrik, Tuncay Akal i W. A. Kuperman. "Low Frequency Wind Generated Ambient Noise in Shallow Water". W Sea Surface Sound, 273–80. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_20.
Pełny tekst źródłaFarmer, D. M., i S. Vagle. "Observations of High Frequency Ambient Sound Generated by Wind". W Sea Surface Sound, 403–15. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_29.
Pełny tekst źródłaStreszczenia konferencji na temat "Wind speed at the sea surface"
Said, Faozi, Zorana Jelenak, Paul S. Chang, Wenqing Tang, Alexander G. Fore, Alexander Akins i Simon H. Yueh. "Exploring SMAP Wind Speed Potential Sea Surface Salinity and Sea Surface Temperature Residual Dependencies". W IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10282635.
Pełny tekst źródłaHu, Yongxiang, i J. B. Nee. "High resolution sea surface wind speed from CALIOP measurements". W Optical Instrumentation for Energy and Environmental Applications. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/e2.2014.ew3a.2.
Pełny tekst źródłaBao, Qingliu, Youguang Zhang, Wentao An, Limin Cui, Shuyan Lang, Mingsen Lin i Peng Gong. "Sea surface wind speed inversion using low incident NRCS". W IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730205.
Pełny tekst źródłaHuang, L., A. Buono i M. Migliaccio. "SAR Speckle as a Proxy of Sea Surface Wind Speed". W 2018 IEEE/OES Baltic International Symposium (BALTIC). IEEE, 2018. http://dx.doi.org/10.1109/baltic.2018.8634861.
Pełny tekst źródłaYu, Kegen, Chris Rizos i Andrew Dempster. "Sea surface wind speed estimation based on GNSS signal measurements". W IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350950.
Pełny tekst źródłaXu, Yuan, Jingsong Yang, Guangjun Xu, Xiaoyan Chen i Lin Ren. "Data fusion of sea surface wind speed from multisatellite altimeters". W Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, redaktorzy Jinwen Tian i Jie Ma. SPIE, 2013. http://dx.doi.org/10.1117/12.2031409.
Pełny tekst źródłaHuang, L., M. Migliaccio, F. Nunziata, V. Carcione, Z. Zhang i W. Yu. "A SAR Cross-Pol Correlation Sea Surface Wind Speed Study". W IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8519536.
Pełny tekst źródłaSun, Youjun, Shuxuan Wang i Lei Wang. "Multi-step regional Sea surface wind speed prediction based on ConvLSTM". W 2023 35th Chinese Control and Decision Conference (CCDC). IEEE, 2023. http://dx.doi.org/10.1109/ccdc58219.2023.10327086.
Pełny tekst źródłaWang, Wei, Eric W. Gill i Weimin Huang. "Determination of sea surface wind speed for a fetch-limited sea using high frequency radar". W 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). IEEE, 2016. http://dx.doi.org/10.1109/antem.2016.7550121.
Pełny tekst źródłaWei, Shiyan, Sheng Yang i Dewei Xu. "Sea surface wind speed estimation by using HY-2A scatterometer wind and ocean ambient noise". W 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2017. http://dx.doi.org/10.1109/icspcc.2017.8242627.
Pełny tekst źródłaRaporty organizacyjne na temat "Wind speed at the sea surface"
Wenren, Yonghu, Luke Allen i Robert Haehnel. SAGE-PEDD user manual. Engineer Research and Development Center (U.S.), sierpień 2022. http://dx.doi.org/10.21079/11681/44960.
Pełny tekst źródłaAvara, Elton P., i Bruce T. Miers. Surface Wind Speed Distributions. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 1992. http://dx.doi.org/10.21236/ada253268.
Pełny tekst źródłaGregow, Hilppa, Antti Mäkelä, Heikki Tuomenvirta, Sirkku Juhola, Janina Käyhkö, Adriaan Perrels, Eeva Kuntsi-Reunanen i in. Ilmastonmuutokseen sopeutumisen ohjauskeinot, kustannukset ja alueelliset ulottuvuudet. Suomen ilmastopaneeli, 2021. http://dx.doi.org/10.31885/9789527457047.
Pełny tekst źródłaAndrews, 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.
Pełny tekst źródłaLyzenga, David R. Estimation of Ocean Surface Wind Speed and Direction From Polarimetric Radiometry Data. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2008. http://dx.doi.org/10.21236/ada533831.
Pełny tekst źródłaYoung, George S. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2004. http://dx.doi.org/10.21236/ada432157.
Pełny tekst źródłaSikora, Todd D., i George S. Young. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2006. http://dx.doi.org/10.21236/ada613570.
Pełny tekst źródłaSikora, Todd D. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2003. http://dx.doi.org/10.21236/ada629930.
Pełny tekst źródłaYoung, George S., i Todd D. Sikora. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2006. http://dx.doi.org/10.21236/ada630936.
Pełny tekst źródłaGetzlaff, 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.
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