Bibliografías temáticas / Ocean-atmosphere interaction

Literatura académica sobre el tema "Ocean-atmosphere interaction"

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Publicado: 4 de junio de 2021
Última modificación: 4 de marzo de 2023

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Artículos de revistas sobre el tema "Ocean-atmosphere interaction"

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Buat-Ménard(Bordeaux), P. "Atmosphere-ocean interaction". Journal of Marine Systems 8, n.º 1-2 (mayo de 1996): 131–32. http://dx.doi.org/10.1016/s0924-7963(96)90010-x.

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Lifland, Jonathan. "Earth's Climate:The Ocean-Atmosphere Interaction". Eos, Transactions American Geophysical Union 85, n.º 46 (2004): 486. http://dx.doi.org/10.1029/2004eo460009.

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Derand, Pierre. "Ocean-atmosphere interaction and climate modelling". Atmospheric Research 39, n.º 4 (diciembre de 1995): 355–56. http://dx.doi.org/10.1016/0169-8095(95)90012-8.

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Hughes, Tertia M. C. "Ocean-atmosphere interaction and climate modelling". Dynamics of Atmospheres and Oceans 25, n.º 4 (mayo de 1997): 273–75. http://dx.doi.org/10.1016/0377-0265(95)00464-5.

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Tett, Simon. "Ocean-Atmosphere interaction and climate modelling". Journal of Experimental Marine Biology and Ecology 194, n.º 2 (diciembre de 1995): 287–89. http://dx.doi.org/10.1016/0022-0981(95)90099-3.

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Moulin, A. y A. Wirth. "A Drag-Induced Barotropic Instability in Air–Sea Interaction". Journal of Physical Oceanography 44, n.º 2 (1 de febrero de 2014): 733–41. http://dx.doi.org/10.1175/jpo-d-13-097.1.

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Abstract A new mechanism that induces barotropic instability in the ocean is discussed. It is due to the air–sea interaction with a quadratic drag law and horizontal viscous dissipation in the atmosphere. The authors show that the instability spreads to the atmosphere. The preferred spatial scale of the instability is that of the oceanic baroclinic Rossby radius of deformation. It can only be represented in numerical models, when the dynamics at this scale is resolved in the atmosphere and ocean. The dynamics are studied using two superposed shallow water layers: one for the ocean and one for the atmosphere. The interaction is due to the shear between the two layers. The shear applied to the ocean is calculated using the velocity difference between the ocean and the atmosphere and the quadratic drag law. In one-way interaction, the shear applied to the atmosphere neglects the ocean dynamics; it is calculated using the atmospheric wind only. In two-way interaction, it is opposite to the shear applied to the ocean. In one-way interaction, the atmospheric shear leads to a barotropic instability in the ocean. The instability in the ocean is amplified, in amplitude and scale, in two-way interaction and also triggers an instability in the atmosphere.
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Chelton, Dudley y Shang-Ping Xie. "Coupled Ocean-Atmosphere Interaction at Oceanic Mesoscales". Oceanography 23, n.º 4 (1 de diciembre de 2010): 52–69. http://dx.doi.org/10.5670/oceanog.2010.05.

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Liu, W. Timothy, Xiaosu Xie y Pearn P. Niiler. "Ocean–Atmosphere Interaction over Agulhas Extension Meanders". Journal of Climate 20, n.º 23 (1 de diciembre de 2007): 5784–97. http://dx.doi.org/10.1175/2007jcli1732.1.

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Abstract Many years of high-resolution measurements by a number of space-based sensors and from Lagrangian drifters became available recently and are used to examine the persistent atmospheric imprints of the semipermanent meanders of the Agulhas Extension Current (AEC), where strong surface current and temperature gradients are found. The sea surface temperature (SST) measured by the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) and the chlorophyll concentration measured by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) support the identification of the meanders and related ocean circulation by the drifters. The collocation of high and low magnitudes of equivalent neutral wind (ENW) measured by Quick Scatterometer (QuikSCAT), which is uniquely related to surface stress by definition, illustrates not only the stability dependence of turbulent mixing but also the unique stress measuring capability of the scatterometer. The observed rotation of ENW in opposition to the rotation of the surface current clearly demonstrates that the scatterometer measures stress rather than winds. The clear differences between the distributions of wind and stress and the possible inadequacy of turbulent parameterization affirm the need of surface stress vector measurements, which were not available before the scatterometers. The opposite sign of the stress vorticity to current vorticity implies that the atmosphere spins down the current rotation through momentum transport. Coincident high SST and ENW over the southern extension of the meander enhance evaporation and latent heat flux, which cools the ocean. The atmosphere is found to provide negative feedback to ocean current and temperature gradients. Distribution of ENW convergence implies ascending motion on the downwind side of local SST maxima and descending air on the upwind side and acceleration of surface wind stress over warm water (deceleration over cool water); the convection may escalate the contrast of ENW over warm and cool water set up by the dependence of turbulent mixing on stability; this relation exerts a positive feedback to the ENW–SST relation. The temperature sounding measured by the Atmospheric Infrared Sounder (AIRS) is consistent with the spatial coherence between the cloud-top temperature provided by the International Satellite Cloud Climatology Project (ISCCP) and SST. Thus ocean mesoscale SST anomalies associated with the persistent meanders may have a long-term effect well above the midlatitude atmospheric boundary layer, an observation not addressed in the past.
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Xie, Shang-Ping. "Satellite Observations of Cool Ocean–Atmosphere Interaction". Bulletin of the American Meteorological Society 85, n.º 2 (1 de febrero de 2004): 195–208. http://dx.doi.org/10.1175/bams-85-2-195.

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Over most of the World Ocean, sea surface temperature (SST) is below 26°C and atmospheric deep convection rarely takes place. Cool ocean–atmosphere interaction is poorly understood and this lack of understanding is a stumbling block in the current effort to study non-ENSO climate variability. Using new satellite observations, the response of surface wind and low clouds to changes in SST is investigated over cool oceans, where the planetary boundary layer (PBL) is often capped by a temperature inversion. While one-way atmospheric forcing is a major mechanism for basinscale SST variability in the extratropics, clear wind response is detected in regions of strong ocean currents. In particular, SST modulation of vertical momentum mixing emerges as the dominant mechanism for SST-induced wind variability near oceanic fronts around the world, which is characterized by a positive SST–wind speed correlation. Several types of boundary layer cloud response are found, whose correlation with SST varies from positive to negative, depending on the role of surface moisture convergence. Noting that the surface moisture convergence is strongly scale dependent, it is proposed that horizontal scale is important for setting the sign of this SST–cloud correlation. Finally, the processes by which a shallow PBL response might lead to a deep, tropospheric-scale response and the implications for the study of extratropical basin-scale air–sea interaction are discussed.
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Fleagle, R. G., N. A. Bond y W. A. Nuss. "Atmosphere-ocean interaction in mid-latitude storms". Meteorology and Atmospheric Physics 38, n.º 1-2 (1988): 50–63. http://dx.doi.org/10.1007/bf01029947.

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Tesis sobre el tema "Ocean-atmosphere interaction"

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Seo, Hyodae. "Mesoscale coupled ocean-atmosphere interaction". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3263355.

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Thesis (Ph. D.)--University of California, San Diego, 2007.
Title from first page of PDF file (viewed July 10, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 138-152).
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Zhang, Yuan. "An observational study of atmosphere-ocean interactions in the northern oceans on interannual and interdecadal time-scale /". Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/10038.

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Helber, Robert William. "Upper ocean upwelling, temperature, and zonal momentum analyses in the western equatorail [sic] Pacific". [Tampa, Fla. : s.n.], 2003. http://purl.fcla.edu/fcla/etd/SFE0000073.

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Weinstein, Sarah Elizabeth. "Sources, transport, and fates of particulate trace metals in the Gulf of Maine-Scotian Shelf and Labrador Sea /". View online ; access limited to URI, 2003. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3115641.

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Kern, Bastian [Verfasser]. "Chemical interaction between ocean and atmosphere / Bastian Kern". Mainz : Universitätsbibliothek Mainz, 2014. http://d-nb.info/1060212412/34.

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Kochanski, Adam. "On the practical applications of atmosphere-ocean and atmosphere-wave coupling in mesoscale numerical modeling". abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3316369.

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Eichelberger, Scott James. "The effects of meridional heating gradients on the atmospheric general circulation and its variability /". Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/10029.

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施錦杯 y Kam-pui Sze. "Effects of the interaction of atmosphere and ocean on humanactivities". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31254378.

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Mosedale, Timothy James. "North Atlantic Ocean-atmosphere interaction using simple and complex models". Thesis, University of Reading, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430918.

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Guo, Larsén Xiaoli. "Air-sea exchange of momentum and sensible heat over the Baltic Sea /". Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2003. http://publications.uu.se/theses/91-554-5565-4/.

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Libros sobre el tema "Ocean-atmosphere interaction"

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Kraus, E. B. Atmosphere-ocean interaction. 2a ed. New York: Oxford University Press, 1994.

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Allan, Perrie William, ed. Atmosphere-ocean interactions. Southampton: WIT Press, 2002.

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1931-, Toba Y., ed. Ocean-atmosphere interactions. Tokyo: Terra Scientific Pub. Co., 2003.

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Chunzai, Wang, Xie Shang-Ping y Carton James A, eds. Earth's climate: The ocean-atmosphere interaction. Washington, DC: American Geophysical Union, 2004.

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Kagan, B. A. Ocean-atmosphere interaction and climate modelling. Cambridge [England]: Cambridge University Press, 1995.

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J, Nihoul Jacques C. y International Liège Colloquium on Ocean Hydrodynamics (16th : 1984), eds. Coupled ocean-atmosphere models. Amsterdam: Elsevier, 1985.

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E, Schlesinger M., North Atlantic Treaty Organization y Commission of the European Communities., eds. Climate-ocean interaction. Dordrecht, The Netherlands: Kluwer Academic Publishers, 1990.

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National Seminar on Antarctic Geoscience, Ocean-atmosphere Interaction and Paleoclimatology (2003 Velha Goa, India). Antarctic geoscience, ocean-atmosphere interaction and paleoclimatology. Editado por Rajan S, Pandey Prem Chand y National Centre for Antarctic & Ocean Research (India). Goa: National Centre for Antarctic & Ocean Research, 2012.

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Corinne, Le Quéré y Saltzman Eric S. 1955-, eds. Surface ocean-lower atmosphere processes. Washington, DC: American Geophysical Union, 2010.

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Le, Quéré Corinne y Saltzman Eric S. 1955-, eds. Surface ocean-lower atmosphere processes. Washington, DC: American Geophysical Union, 2010.

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Capítulos de libros sobre el tema "Ocean-atmosphere interaction"

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Battisti, David S. "Interannual Variability in Coupled Tropical Atmosphere-Ocean Models". En Climate-Ocean Interaction, 127–59. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2093-4_7.

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Pedlosky, Joseph. "Wave-Mean Flow Interaction". En Waves in the Ocean and Atmosphere, 231–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05131-3_21.

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Lin, Charles A., Richard J. Greatbatch y Sheng Zhang. "Large Scale Atmosphere-Ocean Interaction and Climate". En Climate Sensitivity to Radiative Perturbations, 291–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61053-0_22.

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Lau, William K. M., Duane E. Waliser y Harry Hendon. "Air–sea interaction". En Intraseasonal Variability in the Atmosphere-Ocean Climate System, 247–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13914-7_7.

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Wang, Chunzai, Shang-Ping Xie y James A. Carton. "Preface". En Earth's Climate: The Ocean-Atmosphere Interaction, vii. Washington, D. C.: American Geophysical Union, 2004. http://dx.doi.org/10.1029/147gm00.

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Lemke, Peter. "Stochastic Description of Atmosphere — Sea Ice — Ocean Interaction". En The Geophysics of Sea Ice, 785–823. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-5352-0_14.

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Lau, William K. M., Duane E. Waliser y Jean Philippe Duvel. "Oceans and air–sea interaction". En Intraseasonal Variability in the Atmosphere-Ocean Climate System, 513–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13914-7_15.

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Lunine, Jonathan I. y David J. Stevenson. "Evolution of Titan’s Coupled Ocean-Atmosphere System and Interaction of Ocean with Bedrock". En Ices in the Solar System, 741–57. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5418-2_50.

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Wang, Chunzai, Shang-Ping Xie y James A. Carton. "A Global Survey of Ocean-Atmosphere Interaction and Climate Variability". En Earth's Climate, 1–19. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/147gm01.

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Grankov, Alexander y Alexander Milshin. "Effectiveness of the Satellite MCW Radiometric Means of Studying the Air–Sea Interaction". En Natural Microwave Radiation of the Ocean-Atmosphere System, 123–54. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3206-5_5.

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Actas de conferencias sobre el tema "Ocean-atmosphere interaction"

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Lee, Han Soo y Takao Yamshita. "NUMERICAL EXPERIMENTS ON TYPHOON AND OCEAN INTERACTION BY ATMOSPHERE-OCEAN COUPLED MODEL". En Proceedings of the 31st International Conference. World Scientific Publishing Company, 2009. http://dx.doi.org/10.1142/9789814277426_0098.

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Thien, Le Van. "OCEAN-ATMOSPHERE INTERACTION OVER UPWELING REGION OFF CENTRAL VIETNAM: OBSERVATION STUDY". En NGHIÊN CỨU CƠ BẢN TRONG LĨNH VỰC KHOA HỌC TRÁI ĐẤT VÀ MÔI TRƯỜNG. Publishing House for Science and Technology, 2019. http://dx.doi.org/10.15625/vap.2019.000138.

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Jensen, T. G., W. E. Rogers, U. Gravois, T. Campbell y R. Allard. "Wave-current interaction in the Florida Current in a coupled atmosphere-ocean-wave model". En OCEANS 2011. IEEE, 2011. http://dx.doi.org/10.23919/oceans.2011.6107015.

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Rasheed, Adil, Jakob Kristoffer Süld y Mandar Tabib. "Effect of Uni- and Bi-Directional Coupling of Ocean-Met Interaction on Significant Wave Height and Local Wind". En ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61681.

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Accurate prediction of near surface wind and wave height are important for many offshore activities like fishing, boating, surfing, installation and maintenance of marine structures. The current work investigates the use of different methodologies to make accurate predictions of significant wave height and local wind. The methodology consists of coupling an atmospheric code HARMONIE and a wave model WAM. Two different kinds of coupling methodologies: unidirectional and bidirectional coupling are tested. While in Unidirectional coupling only the effects of atmosphere on ocean surface are taken into account, in bidirectional coupling the effects of ocean surface on the atmosphere are also accounted for. The predicted values of wave height and local wind at 10m above the ocean surface using both the methodologies are compared against observation data. The results show that during windy conditions, a bidirectional coupling methodology has better prediction capability.
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"Understanding the Interaction of Land, Ocean and Atmosphere: Disaster Mitigation and Regional Resillience [Front cover]". En 2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS). IEEE, 2020. http://dx.doi.org/10.1109/agers51788.2020.9452787.

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Grankov, Alexander G., Alexander A. Mil'shin y Vladimir F. Krapivin. "Intercorrelation between natural microwave radiation of the ocean-atmosphere system and its boundary heat and dynamic interaction". En SPIE Europe Remote Sensing, editado por Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt y Miguel Velez-Reyes. SPIE, 2009. http://dx.doi.org/10.1117/12.834939.

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Sekiguchi, Miho, Takashi Y. Nakajima, Takashi M. Nagao y Teruyuki Nakajima. "Regional properties of aerosol-cloud interaction estimated from long-term satellite analysis". En RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN (IRS2016): Proceedings of the International Radiation Symposium (IRC/IAMAS). Author(s), 2017. http://dx.doi.org/10.1063/1.4975507.

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Pan, Xiaoling, Wei Gao, Fengxue Gu, Weiqing Li, Shunli Chang, Yuandong Zhang, Qian Ye y Subai Anabiek. "The evaluation on interaction between structures and succession of vegetation/ecosystems and arid land environment in western China: a case study on Fukang, Xinjiang". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Xiaoling Pan, Wei Gao, Michael H. Glantz y Yoshiaki Honda. SPIE, 2003. http://dx.doi.org/10.1117/12.466609.

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Golestani, Maziar y Mostafa Zeinoddini. "Wave Data Assimilation Using Support Vector Regression (SVR) Model and Ensemble Kalman Filter (EnKF)". En ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83873.

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The prediction of wind driven ocean waves is of primary importance for the safety of shipping and off-shore operations, as well as for scientific studies of, e.g., sediment transport and ocean-atmosphere interaction. Traditionally, wave models do not explicitly use the wave observations to estimate the present sea state: the only input to the models is a sequence of wind fields from a meteorological model. However, it is obvious that the model estimate of both the present and the future sea state can be improved if all available knowledge is combined, which can be done by assimilation of the observations into the model. In the present study a new approach for assimilating wave measurements is presented. A soft computing method namely Support Vector Regression (SVR) is used as a surrogate model to simulate wave heights. This model is trained with a data set of wind and wave measurements and is capable of predicting wave characteristics with relatively good quality. In the other hand, swells and short duration storms cannot be well modeled by the SVR model. Therefore assimilating the wave height measurements into the SVR model using an Ensemble Kalman Filter (EnKF) was utilized to ensure better efficiency of the model. A pretty complicated Matlab and Shell scripts were modified in order to establish appropriate data assimilation (DA) system. Using two data sets from NDBC buoys in different geographical zones and performing statistical comparisons showed that the assimilation scheme can reduce the errors in predicting swells, storm peaks and also the storm duration and time. Also it was seen that the combination of SVR model and the EnKF method can be easily used for producing high quality wave forecasts.
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Cronin, Meghan F., Meghan F. Cronin, Meghan F. Cronin, Meghan F. Cronin, Meghan F. Cronin, Meghan F. Cronin, Meghan F. Cronin et al. "Monitoring Ocean - Atmosphere Interactions in Western Boundary Current Extensions". En OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.cwp.20.

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Informes sobre el tema "Ocean-atmosphere interaction"

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Zappa, Christopher J. Ocean Surface Temperature Response to Atmosphere-Ocean Interaction of the MJO. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2011. http://dx.doi.org/10.21236/ada557074.

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Zappa, Christopher J. y Arnold L. Gordon. Atmosphere-Ocean Interaction of the MJO from Unmanned Airborne Vehicles. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2011. http://dx.doi.org/10.21236/ada553770.

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Flatau, Maria, Toshiaki Shinoda, Sue Chen y Tommy Jensen. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2012. http://dx.doi.org/10.21236/ada574456.

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Flatau, Maria, Toshiaki Shinoda, Sue Chen y Tommy Jensen. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2012. http://dx.doi.org/10.21236/ada575530.

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Chen, Sue, James D. Doyle, Paul May y Jerome M. Schmidt. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2013. http://dx.doi.org/10.21236/ada598118.

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Flatau, Maria, Toshiaki Shinoda, Sue Chen y Tommy Jensen. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2013. http://dx.doi.org/10.21236/ada598808.

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Flatau, Maria, Toshiaki Shinoda, Sue Chen y Tommy Jensen. The Influence of Atmosphere - Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2011. http://dx.doi.org/10.21236/ada557129.

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Flatau, Maria, Toshiaki Shinoda, Sue Chen y Tommy Jensen. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2014. http://dx.doi.org/10.21236/ada616719.

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Stanley, Rachel H. R., Thomas Thomas, Yuan Gao, Cassandra Gaston, David Ho, David Kieber, Kate Mackey et al. US SOLAS Science Report. Woods Hole Oceanographic Institution, diciembre de 2021. http://dx.doi.org/10.1575/1912/27821.

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The Surface Ocean – Lower Atmosphere Study (SOLAS) (http://www.solas-int.org/) is an international research initiative focused on understanding the key biogeochemical-physical interactions and feedbacks between the ocean and atmosphere that are critical elements of climate and global biogeochemical cycles. Following the release of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016), the Ocean-Atmosphere Interaction Committee (OAIC) was formed as a subcommittee of the Ocean Carbon and Biogeochemistry (OCB) Scientific Steering Committee to coordinate US SOLAS efforts and activities, facilitate interactions among atmospheric and ocean scientists, and strengthen US contributions to international SOLAS. In October 2019, with support from OCB, the OAIC convened an open community workshop, Ocean-Atmosphere Interactions: Scoping directions for new research with the goal of fostering new collaborations and identifying knowledge gaps and high-priority science questions to formulate a US SOLAS Science Plan. Based on presentations and discussions at the workshop, the OAIC and workshop participants have developed this US SOLAS Science Plan. The first part of the workshop and this Science Plan were purposefully designed around the five themes of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016) to provide a common set of research priorities and ensure a more cohesive US contribution to international SOLAS.
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Rogers, David P. Coupled Ocean-Atmosphere Interaction and the Development of the Marine Atmospheric Boundary Layer. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1997. http://dx.doi.org/10.21236/ada330047.

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