Relevant bibliographies by topics / Air sea interaction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Air sea interaction'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Air sea interaction"

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Seo, Hyodae, Larry W. O’Neill, Mark A. Bourassa, Arnaud Czaja, Kyla Drushka, James B. Edson, Baylor Fox-Kemper, et al. "Ocean Mesoscale and Frontal-Scale Ocean–Atmosphere Interactions and Influence on Large-Scale Climate: A Review." Journal of Climate 36, no. 7 (April 1, 2023): 1981–2013. http://dx.doi.org/10.1175/jcli-d-21-0982.1.

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Abstract Two decades of high-resolution satellite observations and climate modeling studies have indicated strong ocean–atmosphere coupled feedback mediated by ocean mesoscale processes, including semipermanent and meandrous SST fronts, mesoscale eddies, and filaments. The air–sea exchanges in latent heat, sensible heat, momentum, and carbon dioxide associated with this so-called mesoscale air–sea interaction are robust near the major western boundary currents, Southern Ocean fronts, and equatorial and coastal upwelling zones, but they are also ubiquitous over the global oceans wherever ocean mesoscale processes are active. Current theories, informed by rapidly advancing observational and modeling capabilities, have established the importance of mesoscale and frontal-scale air–sea interaction processes for understanding large-scale ocean circulation, biogeochemistry, and weather and climate variability. However, numerous challenges remain to accurately diagnose, observe, and simulate mesoscale air–sea interaction to quantify its impacts on large-scale processes. This article provides a comprehensive review of key aspects pertinent to mesoscale air–sea interaction, synthesizes current understanding with remaining gaps and uncertainties, and provides recommendations on theoretical, observational, and modeling strategies for future air–sea interaction research. Significance Statement Recent high-resolution satellite observations and climate models have shown a significant impact of coupled ocean–atmosphere interactions mediated by small-scale (mesoscale) ocean processes, including ocean eddies and fronts, on Earth’s climate. Ocean mesoscale-induced spatial temperature and current variability modulate the air–sea exchanges in heat, momentum, and mass (e.g., gases such as water vapor and carbon dioxide), altering coupled boundary layer processes. Studies suggest that skillful simulations and predictions of ocean circulation, biogeochemistry, and weather events and climate variability depend on accurate representation of the eddy-mediated air–sea interaction. However, numerous challenges remain in accurately diagnosing, observing, and simulating mesoscale air–sea interaction to quantify its large-scale impacts. This article synthesizes the latest understanding of mesoscale air–sea interaction, identifies remaining gaps and uncertainties, and provides recommendations on strategies for future ocean–weather–climate research.
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Long, David G., and David Arnold. "Observational research in air/sea interaction." Remote Sensing Reviews 8, no. 1-3 (January 1994): 189–94. http://dx.doi.org/10.1080/02757259309532194.

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Renfrew, I. "Air-sea interaction: Laws and mechanisms." Eos, Transactions American Geophysical Union 82, no. 50 (2001): 626. http://dx.doi.org/10.1029/01eo00364.

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Csanady,, GT, and JL Lumley,. "Air-Sea Interaction: Laws and Mechanisms." Applied Mechanics Reviews 55, no. 6 (October 16, 2002): B117. http://dx.doi.org/10.1115/1.1508156.

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Chao, Shenn-Yu. "An Air-Sea Interaction Model for Cold-Air Outbreaks." Journal of Physical Oceanography 22, no. 8 (August 1992): 821–42. http://dx.doi.org/10.1175/1520-0485(1992)022<0821:aasimf>2.0.co;2.

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Ji, Zhen-Gang, and Ji-Ping Chao. "An analytical coupled air-sea interaction model." Journal of Marine Systems 1, no. 3 (January 1991): 263–70. http://dx.doi.org/10.1016/0924-7963(91)90032-p.

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Bishop, Stuart P., R. Justin Small, Frank O. Bryan, and Robert A. Tomas. "Scale Dependence of Midlatitude Air–Sea Interaction." Journal of Climate 30, no. 20 (September 13, 2017): 8207–21. http://dx.doi.org/10.1175/jcli-d-17-0159.1.

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Abstract It has traditionally been thought that midlatitude sea surface temperature (SST) variability is predominantly driven by variations in air–sea surface heat fluxes (SHFs) associated with synoptic weather variability. Here it is shown that in regions marked by the highest climatological SST gradients and SHF loss to the atmosphere, the variability in SST and SHF at monthly and longer time scales is driven by internal ocean processes, termed here “oceanic weather.” This is shown within the context of an energy balance model of coupled air–sea interaction that includes both stochastic forcing for the atmosphere and ocean. The functional form of the lagged correlation between SST and SHF allows us to discriminate between variability that is driven by atmospheric versus oceanic weather. Observations show that the lagged functional relationship of SST–SHF and SST tendency–SHF correlation is indicative of ocean-driven SST variability in the western boundary currents (WBCs) and the Antarctic Circumpolar Current (ACC). By applying spatial and temporal smoothing, thereby dampening the signature SST anomalies generated by eddy stirring, it is shown that the oceanic influence on SST variability increases with time scale but decreases with increasing spatial scale. The scale at which SST variability in the WBCs and the ACC transitions from ocean to atmosphere driven occurs at scales less than 500 km. This transition scale highlights the need to resolve mesoscale eddies in coupled climate models to adequately simulate the variability of air–sea interaction. Away from strong SST fronts the lagged functional relationships are indicative of the traditional paradigm of atmospherically driven SST variability.
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Rodwell, M. J., and C. K. Folland. "Atlantic air–sea interaction and seasonal predictability." Quarterly Journal of the Royal Meteorological Society 128, no. 583 (July 2002): 1413–43. http://dx.doi.org/10.1002/qj.200212858302.

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Tozuka, Tomoki. "Seasonal Air-Sea Interaction in the Tropics." Oceanography in Japan 15, no. 6 (2006): 455–63. https://doi.org/10.5928/kaiyou.15.6_455.

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Sobaruddin, D. P., F. Marpaung, R. A. B. Putra, A. Fahim, C. S. Dharma, D. T. Pramono, and A. Kristiawan. "Interaction of Air and Sea above Seamount in the Halmahera Sea." IOP Conference Series: Earth and Environmental Science 1047, no. 1 (July 1, 2022): 012009. http://dx.doi.org/10.1088/1755-1315/1047/1/012009.

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Abstract The interaction of sea and air plays a very important role in the early stages of cloud formation. In certain cases, changes in temperature in the sea surface layer and the atmospheric layer closest to the sea will affect the initiation of the formation of water vapor which can become cloud. To monitor the sea-air temperature interaction above Seamount in Halmahera Sea, we took an expedition of Jala Citra-I 2021 Aurora from August 28 to September 9, 2021 using The Indonesian Navy Center for Hydrography and Oceanography research vessel, the Navy’s KRI Spica-934. Weather condition was observed using two installed Automatic Weather Stations (AWS) mounted on a vessel, radiosonde in Sorong, West Papua, and Outgoing Longwave Radiation (OLR) data from NOAA (National Oceanic and Atmospheric Administration), while the profile of sea surface temperature (SST) were observed using a 24-hour CTD measurement. Both AWS data were analyzed using two samples Kolmogorov-Smirnov test with h=1 and showed low correlations (r2 = 0.2-0.4, p-value &lt;0.01) for the parameters of temperature, relative humidity, and wind speed. The hourly SST ranged 29°C – 30°C from 0-50 meter and the Lifting Condensation Level ranged about 939 to 985 mb in the morning on 1 - 2 September. The OLR was a neutral and positive values. These conditions indicated that a strong local effect dominantly created by a strong sea-air interaction in the study area. A warm SST with a strong divergence wind leads a warm air layer developed on the sea surface to rise. A low OLR with a moderate CAPE is enough to support the updraft of water vapor, rising from sea surface and then support convective activity formed in the region. In addition, it shows that the changes activity of convective clouds, developing over warm waters, are dominant mode of diurnal variability. However, investigation of intra-seasonal variability in Halmahera Sea was not clear. Further investigation on spatiotemporal of sea-air interaction on a local scale are needed to capture the phenomena on its season.
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Dissertations / Theses on the topic "Air sea interaction"

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Schulz, Eric Werner mathematics UNSW. "Air-sea flux parameterisations in a shallow tropical sea." Awarded by:University of New South Wales. mathematics, 2002. http://handle.unsw.edu.au/1959.4/18659.

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This thesis is a study of the air-sea fluxes of momentum, sensible heat and latent heat. Fluxes are estimated using the covariance, COARE2.6b bulk flux algorithm, and inertial dissipation methods. The bulk algorithm is validated against the covariance fluxes for the first time in a light-wind, shallow tropical sea, with strong atmospheric instability and low sea state conditions. The removal of ship motion contamination is investigated. This is the first study to quantify the errors associated with corrections for ship motion contamination, and the effects of motion contamination on the covariance calculated heat fluxes. Flow distortion is investigated. Bulk transfer coefficients and roughness lengths are computed and related to the sea state. Ship motion contamination is successfully removed in 86% of the runs. Error analysis of the motion removal algorithm indicates maximum uncertainties of 15% in the wind fluctuations, and 0.002 N/m/m for the wind stress. Motion correction changes the stress by more than 15% in half of the runs analysed. The ship is found to accelerate the mean air flow and deflect it above the horizontal. A correction is developed for the air flow acceleration. The scalar fluxes show good agreement on average for all the methods. As wind speed approaches zero, covariance wind stress is significantly larger than the bulk and inertial dissipation derived wind stress. The non-zero covariance wind stress is reflected in the drag coefficient, CdN10, and momentum roughness length, z0, which are much larger than the parameterisations used in the bulk algorithm. The MCTEX CdN10, wind speed (u10N) relation is 1000 x Cd10N = 1.03 + 7.88/(u10N)^2 0.8 &lt u10N &lt 7.5 m/s z0 is primarily a function of wind speed rather than sea state, with largest roughness lengths occurring as wind speed approaches zero. This relation is used in the bulk algorithm, yielding good agreement between covariance and bulk derived wind stress. A new parameterisation for the effects of gustiness, based on wind variance is developed. This brings the bulk wind stress into agreement with the covariance derived wind stress.
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Kent, John E. "Air-sea interaction patterns in the equatorial Pacific." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277305.

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Thesis (M.S. in Meteorology and M.S. in Physical Oceanography) Naval Postgraduate School, December 1993.<br>Thesis advisor(s): James Thomas Murphree ; Peter Chu. "December 1993." Bibliography: p. 88-89. Also available online.
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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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Mueller, James A. "On the transfer of momentum, heat and mass at the air-sea and air-sea spray interfaces." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 190 p, 2009. http://proquest.umi.com/pqdweb?did=1833621151&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Moulin, Aimie. "Air-sea interaction at the synoptic- and the meso-scale." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAU026/document.

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Cette thèse concerne l'étude de l'interaction air-mer, due aux échanges de mouvements, avec un modèle idéalisé mais consistant. Les études sont réalisées à partir d'un modèle shallow-water bicouches (une pour l'océan et une pour l'atmosphère), avec une fine résolution spatiale et temporelle. L'interaction est uniquement due à la friction de surface entre les deux couches.Elle est implémentée par une loi de friction quadratique. La force appliquée à l'océan est calculée en utilisant la différence de vitesse entre les vents et les courants. Pour la force appliquée à l'atmosphère on distingue deux cas l'interaction ``1way'' et ``2way''. Pour la première, la friction appliquée à l'atmosphère néglige la dynamique de l'océan; elle est calculée en utilisant uniquement les vents. Pour l'interaction ``2W'', la friction appliquée à l'atmosphère est l'opposée de celle appliquée à l'océan.Trois configurations idéalisées sont explorées ici.La première configuration explique la génération d'une instabilité barotrope dans l'océan due à la force de friction quadratique et la dissipation visqueuse horizontale de l'atmosphère. Dans le cas 1W le cisaillement entraîne une instabilité barotrope dans l'océan. Dans le cas 2W, l'instabilité est amplifiée en amplitude et en dimension et est transférée à l'atmosphère. L'échelle principale de cette instabilité correspond à celle du rayon de Rossby dans l'océan. Elle est uniquement visible dans les modèles numériques, lorsque la dynamique est résolue à cette échelle à la fois dans l'océan mais aussi dans l'atmosphère.Dans la deuxième configuration, des expériences pour différentes valeurs du coefficient de traînée de surface sont réalisées. Le forçage diffère de la première configuration, et permet d'avoir une dynamique turbulente dans l'océan et l'atmosphère. L'énergie perdue par l'atmosphère et gagnée par l'océan par cisaillement à l'interface sont déterminées et comparées aux estimations basées sur les vitesses moyennes. La corrélations entre la vorticité océanique et atmosphérique est déterminée à l'échelle synoptique et méso-échelle de l'atmosphère. L'océan a un rôle passif, et absorbe l'énergie cinétique à quasiment tout les instants et tous les lieux. Les résultats différent des études réalisées à l'échelle du bassin. De par les faibles vitesses de l'océan, le transfert d'énergie dépend que faiblement des courants. La dynamique de l'océan laisse cependant son empreinte dans la dynamique de l'atmosphère conduisant à un état `quenched disorder' du système océan-atmosphère, pour le plus fort coefficient de friction utilisé.La dernière configuration, considère l'échange de mouvements entre l'océan et l'atmosphère autour d'une île circulaire. Dans les simulations actuelles de la dynamique océanique, le champs du forçage atmosphérique est généralement trop grossier pour inclure la présence de petites îles (&lt;100km). Dans les calculs présentés ici, l'île est représenté dans la couche atmosphérique par un coefficient de traînée cent fois plus fort au dessus de l'île que l'océan. Cela engendre de la vorticité dans l'atmosphère , autour et près du sillage de l'île. L'influence de la vorticité atmosphérique sur la vorticité de l'océan, l'upwelling, la turbulence et le transfert d'énergieest considéré en utilisant des simulations couplées océan-atmosphère.Les résultats sont comparés avec des simulations ayant un forçage atmosphérique constant dans le temps et l'espace (pas de sillage) et des simulations "1W" (pour lesquelles les courants n'ont pas d'influence sur l'atmosphère).Les résultats des simulations sont en accords avec les travaux et les observations précédemment réalisés, et confirment que le sillage atmosphérique est le principal processus générant des tourbillons océanique dans le lit de l'île. Il est aussi montré que la vorticité est injectée directement par le rotationel du vent, mais aussi par la force du vent perpendiculaireau gradient d'épaisseur de la couche de surface océanique<br>This thesis considers air-sea interaction, due to momentum exchange, in an idealized but consistent model. Two superposed one-layer fine-resolution shallow-water models are numerically integrated. The upper layer represents the atmosphere and the lower layer the ocean. The interaction is only 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.The frictional force between the two-layers is implemented using the quadratic drag law. Three idealized configurations are explored.First, a new mechanism that induces barotropic instability in the ocean is discussed. It is due to air-sea interaction with a quadratic drag law and horizontal viscous dissipation in the atmosphere. I 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 the ocean.In one-way interaction the shear applied to the atmosphere neglectsthe 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 the 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.Second, the air-sea interaction at the atmospheric synoptic and mesoscale due to momentum transfer, only, is considered. Experiments with different values of the surface friction drag coefficient are performed, with a different atmospheric forcing from the first configuration, that leads to a turbulent dynamics in the atmosphere and the ocean. The actual energy loss of the atmosphere and the energy gain by the ocean, due to the inter-facial shear,is determined and compared to the estimates based on average speeds.The correlation between the vorticity in the atmosphere and the ocean is determined. Results differ from previous investigations where the exchange of momentum was considered at basin scale. It is shown that the ocean has a passive role, absorbing kinetic energy at nearly all times and locations.Due to the feeble velocities in the ocean, the energy transfer depends only weakly on the ocean velocity. The ocean dynamics leaves nevertheless its imprint in the atmospheric dynamics leading to a quenched disordered state of the atmosphere-ocean system, for the highest value of the friction coefficient considered. This finding questions the ergodic hypothesis, which is at the basis of a large number of experimental, observational and numericalresults in ocean, atmosphere and climate dynamics.The last configuration considers the air-sea interaction, due to momentum exchange, around a circular island. In todays simulations of the ocean dynamics, the atmospheric forcing fields are usually too coarse to include the presence of smaller islands (typically $&lt;$ 100km).In the calculations presented here, the island is represented in the atmospheric layer by a hundred fold increased drag coefficient above the island as compared to the ocean. It leads to an increased atmospheric vorticity in the vicinity and in the wake of the island. The influence of the atmospheric vorticity on the ocean vorticity, upwelling, turbulence and energy transfer is considered by performing fully coupled simulations of the atmosphere-oceandynamics. The results are compared to simulations with a constant, in space and time, atmospheric forcing (no wake) and simulations with one-waycoupling only (where the ocean velocity has no influence on the atmosphere).Results of our simulations agree with previous published work and observations, and confirm that the wind-wake is the main process leading to mesoscale oceanic eddies in the lee of an island
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Abel, Rafael [Verfasser]. "Aspects of air-sea interaction in atmosphere-ocean models / Rafael Abel." Kiel : Universitätsbibliothek Kiel, 2018. http://d-nb.info/1171800193/34.

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Uang, Chien-Liang. "Impacts of air-sea interaction on the development of tropical cyclones." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266143.

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Williams, R. G. "The influence of air-sea interaction on ocean synoptic-scale eddies." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377713.

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Labbri, Giacomo. "Mesoscale Air-Sea interaction during the EUREC4A campaign: case studies analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The world ocean is rich in mesoscale structures that locally affect the overlying atmosphere. The interaction of these mesoscale oceanic features with the overlying atmosphere is an interesting topic because of the ubiquity of mesoscale structures in the ocean and the lacking of a definitive representation of the interaction mechanisms. This thesis presents two case studies of air-sea interaction using data collected during the EUREC4A campaign in the tropical north-western Atlantic. The objective is to learn about mesoscale air-sea interaction by case study analysis, particularly for what concerns the effect of sea surface temperature structures. SST measurements from Merian’s thermosalinograph identify the case studies. Then, ship-borne observations from the two weather stations, wind lidar, cloud radar on the R/V Merian, characterize each case study. Radiosondes launched from the R/Vs Merian and Atalante complete the ground-based dataset. Satellite SST and cloud cover observations complement the dataset and allow for comparison. Also, wind data from the ICON-LEM model output are exploited to provide field information to the ship-based point measurements. For the first case study, no effects of the SST on the overlaying atmosphere can be detected. The absence of a detectable SST effect in the first case study is attributed to the limited temporal and spatial extent of the SST anomaly. In the second case study a connection between an SST cold front, vertical velocity, and cloud cover is found. It is proposed that the colder SST dampen the vertical motion on the overlaying atmosphere reducing cloud formation.
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Bell, Michael M. "Air-sea enthalpy and momentum exchange at major hurricane wind speeds." Monterey, Calif. : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/dissert/2010/Jun/10Jun%5FBell%5FPhD.pdf.

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Dissertation (Ph.D. in Meteorology)--Naval Postgraduate School, June 2010.<br>Dissertation supervisor: Montgomery, Michael. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Air-sea interaction, tropical cyclones, surface fluxes, drag coefficient, CBLAST. Includes bibliographical references (p. 125-131). Also available in print.
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Books on the topic "Air sea interaction"

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U.S. WOCE Working Group on Atmosphere-Ocean Exchange. and World Ocean Circulation Experiment, eds. WOCE global air-sea interaction fields. College Station, Tex: U.S. Planning Office for WOCE, Department of Oceanography, Texas A&M University, 1985.

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S, Ataktürk Serhad, and United States. National Aeronautics and Space Administration., eds. Air-sea interaction and remote sensing. Seattle, WA: Dept. of Atmospheric Sciences, AK-40, University of Washington, 1992.

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U.S. WOCE Working Group on Atmosphere-Ocean Exchange. and World Ocean Circulation Experiment, eds. WOCE global air-sea interaction fields. College Station, Tex: U.S. Planning Office for WOCE, Department of Oceanography, Texas A&M University, 1985.

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S, Ataktu rk Serhad, and United States. National Aeronautics and Space Administration., eds. Air-sea interaction and remote sensing. Seattle, WA: Dept. of Atmospheric Sciences, AK-40, University of Washington, 1992.

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S, Ataktürk Serhad, and United States. National Aeronautics and Space Administration., eds. Air-sea interaction and remote sensing. Seattle, WA: Dept. of Atmospheric Sciences, AK-40, University of Washington, 1992.

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P, Trask Richard, ed. FASINEX (Frontal Air-Sea Interaction Experiment) moored instrumentation. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1989.

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P, Trask Richard, ed. FASINEX (Frontal Air-Sea Interaction Experiment) moored instrumentation. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1989.

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JSC/CCCO Working Group on Air-sea Fluxes. Global data assimilation programme for air-sea fluxes. [Geneva]: World Meteorological Organization, 1988.

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Wang, Dongxiao. Ocean Circulation and Air-Sea Interaction in the South China Sea. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6262-2.

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L, Rudnick Daniel, ed. Results from the frontal air-sea interaction experiment (FASINEX). Washington, D.C: American Geophysical Union, 1991.

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Book chapters on the topic "Air sea interaction"

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Lau, William K. M., Duane E. Waliser, and Harry Hendon. "Air–sea interaction." In 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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Tolmazin, David. "Sea-air interaction." In Elements of Dynamic Oceanography, 1–12. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-4856-3_1.

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Lau, William K. M., Duane E. Waliser, and Jean Philippe Duvel. "Oceans and air–sea interaction." In 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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Wang, Dongxiao. "Air-Sea Interaction in the South China Sea." In Ocean Circulation and Air-Sea Interaction in the South China Sea, 307–94. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6262-2_6.

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Carey, William M., and Richard B. Evans. "The Air–Sea Boundary Interaction Zone." In Ocean Ambient Noise, 11–30. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7832-5_2.

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Herman, Gerald F. "Atmospheric Modelling and Air-Sea-Ice Interaction." In The Geophysics of Sea Ice, 713–54. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-5352-0_12.

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Bower, Amy S., and J. Thomas Farrar. "Air–Sea Interaction and Horizontal Circulation in the Red Sea." In The Red Sea, 329–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45201-1_19.

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Werner, Ch, and W. A. Krichbaumer. "LDA as a New Tool to Detect Air-Sea Interaction Mechanisms." In Sea Surface Sound, 111–21. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_9.

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Hsu, S. A., and B. W. Blanchard. "Recent Advances in Air—Sea Interaction Studies Applied to Overwater Air Quality Modeling: A Review." In Air Quality, 297–316. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-7970-5_18.

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Woolf, D. K., and C. Gommenginger. "Radar Altimetry: Introduction and Application to Air-Sea Interaction." In Remote Sensing of the European Seas, 283–94. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6772-3_21.

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Conference papers on the topic "Air sea interaction"

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Repina, I. A., A. Yu Artamonov, M. I. Varentsov, and E. M. Khavina. "Air-sea interaction in the polar regions." In First International Conference on Ocean Thermohydromechanics-2017. Shirshov Institute of Oceanology, 2017. http://dx.doi.org/10.29006/978-5-9901449-3-4-2017-1-140-143.

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Regis, Jennifer L., and Donald N. Slinn. "THREE-DIMENSIONAL MODELING OF AIR-SEA INTERACTION." In Proceedings of the 30th International Conference. World Scientific Publishing Company, 2007. http://dx.doi.org/10.1142/9789812709554_0044.

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Ward, Brian, and Tim Fristedt. "Air-Sea Interaction Profiler: Autonomous upper ocean measurements." In 2008 IEEE/OES US/EU-Baltic International Symposium (BALTIC). IEEE, 2008. http://dx.doi.org/10.1109/baltic.2008.4625494.

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ÖZSOY, EMIN. "A REVIEW OF CASPIAN SEA ENVIRONMENT, CLIMATE VARIABILITY AND AIR-SEA INTERACTION." In Proceedings of the International Seminar on Nuclear War and Planetary Emergencies — 26th Session. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776945_0035.

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Pfau, A., A. I. Kalfas, and R. S. Abhari. "Making Use of Labyrinth Interaction Flow." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53797.

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It is the aim of this publication to attract the designers attention to the end wall flow interactions of shrouded high pressure turbines. One of the key issue for designing better turbines is the understanding of the flow interactions set up by the presence of labyrinth seals. Those interaction flows are carefully examined in this publication using the control volume analysis and the radial equilibrium of forces acting on streamlines. The consequences on secondary flow development and mixing losses are discussed and quantified. Out of this insight, design recommendations are derived, which attempt to make use of the nature of the labyrinth interaction flow. The open labyrinth cavities are classified in a systematic way. The aim of this approach is to work out the characteristic differences between hub and tip cavities and those having a leakage jet or sucking main flow fluid into the labyrinth. The influence on the main flow is discussed in terms of the incidence flow angle of downstream blade rows and the associated loss production mechanisms. The design strategies presented in this paper follow two paths: (a) Optimization of the mixing losses of the leakage jets at hub and tip is estimated to result in an efficiency increase of up to 0.2%. (b) The non-axisymmetric shaping of the labyrinth interaction flow path aims at the secondary flow control in downstream blade rows. This approach might contribute in the same magnitude of order as reduction in the mixing losses.
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Ortiz-Suslow, David G., Kimberley Huguenard, Nathan J. M. Laxague, Neil J. Williams, Darek Bogucki, and Brian K. Haus. "Coastal dynamics observed from a mobile air-sea interaction platform." In 2015 IEEE/OES Eleventh Current, Waves and Turbulence Measurement (CWTM). IEEE, 2015. http://dx.doi.org/10.1109/cwtm.2015.7098124.

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Troitskaya, Yulia, Daniil Sergeev, Alexandr Kandaurov, German Baidakov, and Vassilii Kazakov. "Laboratory modelling of air-sea interaction under severe wind conditions." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350496.

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Gorla, Rama S. R., Shantaram S. Pai, and Jeffrey J. Rusick. "Probabilistic Study of Fluid Structure Interaction." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30308.

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A combustor liner was computationally simulated and probabilistically evaluated in view of the several uncertainties in the aerodynamic, structural, material and thermal variables that govern the combustor liner. The interconnection between the computational fluid dynamics code and the finite element structural analysis codes was necessary to couple the thermal profiles with structural design. The stresses and their variations were evaluated at critical points on the liner. Cumulative distribution functions and sensitivity factors were computed for stress responses due to the aerodynamic, mechanical and thermal random variables. It was observed that the inlet and exit temperatures have a lot of influence on the hoop stress. For prescribed values of inlet and exit temperatures, the Reynolds number of the flow, coefficient of thermal expansion, gas emissivity and absorptivity and thermal conductivity of the material have about the same impact on the hoop stress. These results can be used to quickly identify the most critical design variables in order to optimize the design and make it cost effective.
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Shum, Y. K. P., C. S. Tan, and N. A. Cumpsty. "Impeller-Diffuser Interaction in Centrifugal Compressor." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0428.

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A study has been conducted, using an unsteady three-dimensional Reynolds-averaged Navier-Stokes simulation, to define the effect of impeller-diffuser interaction on the performance of a centrifugal compressor stage. The principal finding from the study was that the most influential aspect of this unsteady interaction was the effect on impeller tip leakage flow. In particular, the unsteadiness due to the upstream potential effect of the diffuser vanes led to larger viscous losses associated with the impeller tip leakage flow. The consequent changes at the impeller exit with increasing interaction were identified as reduced slip, reduced blockage, and increased loss. The first two were beneficial to pressure rise while the third one was detrimental. The magnitudes of the effects were examined using different impeller-diffuser spacings and it was shown that there was an optimal radial gap size for maximum impeller pressure rise. The physical mechanism was also determined: when the diffuser was placed closer to the impeller than the optimum, increased loss overcame the benefits of reduced slip and blockage. The findings provide a rigorous explanation for experimental observations made on centrifugal compressors. The success of a simple flow model in capturing the pressure rise trend indicated that although the changes in loss, blockage and slip were due largely to unsteadiness, the consequent impacts on performance were mainly one-dimensional. The influence of flow unsteadiness on diffuser performance was found to be less important than the upstream effect, by a factor of seven in terms of stage pressure rise in the present geometry. It is thus concluded that the beneficial effects of impeller-diffuser interaction on overall stage performance come mainly from the reduced blockage and reduced slip associated with the unsteady tip leakage flow in the impeller.
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Al-Nahwi, Ammar A., James D. Paduano, and Samir A. Nayfeh. "Aerodynamic-Rotordynamic Interaction in Axial Compression Systems: Part II — Impact of Interaction on Overall System Stability." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30489.

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This paper presents an integrated treatment of the dynamic coupling between the flow field (aerodynamics) and rotor structural vibration (rotordynamics) in axial compression systems. This work is motivated by documented observations of tip clearance effects on axial compressor flow field stability, the destabilizing effect of fluid-induced aerodynamic forces on rotordynamics, and their potential interaction. This investigation is aimed at identifying the main nondimensional design parameters governing this interaction, and assessing its impact on overall stability of the coupled system. The model developed in this work employs a reduced-order Moore-Greitzer model for the flow field, and a Jeffcott-type model for the rotordynamics. The coupling between the fluid and structural dynamics is captured by incorporating a compressor pressure rise sensitivity to tip clearance, together with a momentum based model for the aerodynamic forces on the rotor (presented in Part I of this paper). The resulting dynamic model suggests that the interaction is largely governed by two nondimensional parameters: the sensitivity of the compressor to tip clearance and the ratio of fluid mass to rotor mass. The aerodynamic-rotordynamic coupling is shown to generally have an adverse effect on system stability. For a supercritical rotor and a typical value of the coupling parameter, the stability margin to the left of the design point is shown to decrease by about 5% in flow coefficient (from 20% for the uncoupled case). Doubling the value of the coupling parameter not only produces a reduction of about 8% in the stability margin at low flow coefficients, but also gives rise to a rotordynamic instability at flow coefficients 7% higher than the design point.
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Reports on the topic "Air sea interaction"

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Paulson, Clayton A. Air-Sea Interaction (Ocean Storms). Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada327232.

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Maykut, Gary A. Arctic Sea Air Interaction Including AASERT. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada627633.

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Liu, Antony K. Wavelet Analysis of Air-sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629299.

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Melville, W. K. Wave-Phase-Resolved Air-Sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada618050.

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Weller, Robert A., and J. T. Farrar. An Air-Sea Interaction Buoy/Mooring System for Study of Air-Sea Interaction in the Open Ocean. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598815.

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Terrill, Eric J. CBLAST Data Analysis: Air-Sea Interaction Floats. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada495437.

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Khelif, Djamal. Marine Boundary-Layer and Air-Sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada613576.

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Khelif, Djamal. Marine Boundary-Layer and Air-Sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada541259.

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Khelif, Djamal. Marine Boundary-Layer and Air-Sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629992.

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Weller, Robert A. The Role of Horizontal Variability in Air-Sea Interaction. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada280561.

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