Relevant bibliographies by topics / Wind speed at the sea surface

Academic literature on the topic 'Wind speed at the sea surface'

Author: Grafiati
Published: 7 July 2024
Last updated: 7 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Wind speed at the sea surface.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Contents

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

Journal articles on the topic "Wind speed at the sea surface":

1

Monahan, Adam H. "The Temporal Autocorrelation Structure of Sea Surface Winds." Journal of Climate 25, no. 19 (April 5, 2012): 6684–700. http://dx.doi.org/10.1175/jcli-d-11-00698.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract The temporal autocorrelation structures of sea surface vector winds and wind speeds are considered. Analyses of scatterometer and reanalysis wind data demonstrate that the autocorrelation functions (acf) of surface zonal wind, meridional wind, and wind speed generally drop off more rapidly in the midlatitudes than in the low latitudes. Furthermore, the meridional wind component and wind speed generally decorrelate more rapidly than the zonal wind component. The anisotropy in vector wind decorrelation scales is demonstrated to be most pronounced in the storm tracks and near the equator, and to be a feature of winds throughout the depth of the troposphere. The extratropical anisotropy is interpreted in terms of an idealized kinematic eddy model as resulting from differences in the structure of wind anomalies in the directions along and across eddy paths. The tropical anisotropy is interpreted in terms of the kinematics of large-scale equatorial waves and small-scale convection. Modeling the vector wind fluctuations as Gaussian, an explicit expression for the wind speed acf is obtained. This model predicts that the wind speed acf should decay more rapidly than that of at least one component of the vector winds. Furthermore, the model predicts a strong dependence of the wind speed acf on the ratios of the means of vector wind components to their standard deviations. These model results are shown to be broadly consistent with the relationship between the acf of vector wind components and wind speed, despite the presence of non-Gaussian structure in the observed surface vector winds.
2

Shi, Jian, Zhihao Feng, Yuan Sun, Xueyan Zhang, Wenjing Zhang, and Yi Yu. "Relationship between Sea Surface Drag Coefficient and Wave State." Journal of Marine Science and Engineering 9, no. 11 (November 10, 2021): 1248. http://dx.doi.org/10.3390/jmse9111248.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The sea surface drag coefficient plays an important role in momentum transmission between the atmosphere and the ocean, which is affected by ocean waves. The total air–sea momentum flux consists of effective momentum flux and sea spray momentum flux. Sea spray momentum flux involves sea surface drag, which is largely affected by the ocean wave state. Under strong winds, the sea surface drag coefficient (CD) does not increase linearly with the increasing wind speed, namely, the increase of CD is inhibited by strong winds. In this study, a sea surface drag coefficient is constructed that can be applied to the calculation of the air–sea momentum flux under high wind speed. The sea surface drag coefficient also considers the influence of wave state and sea spray droplets generated by wave breaking. Specially, the wave-dependent sea spray generation function is employed to calculate sea spray momentum flux. This facilitates the analysis not only on the sensitivity of the sea spray momentum flux to wave age, but also on the effect of wave state on the effective CD (CD, eff) under strong winds. Our results indicate that wave age plays an important role in determining CD. When the wave age is >0.4, CD decreases with the wave age. However, when the wave age is ≤0.4, CD increases with the wave age at low and moderate wind speeds but tends to decrease with the wave age at high wind speeds.
3

Monahan, Adam Hugh. "Empirical Models of the Probability Distribution of Sea Surface Wind Speeds." Journal of Climate 20, no. 23 (December 1, 2007): 5798–814. http://dx.doi.org/10.1175/2007jcli1609.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract This study considers the probability distribution of sea surface wind speeds, which have historically been modeled using the Weibull distribution. First, non-Weibull structure in the observed sea surface wind speeds (from SeaWinds observations) is characterized using relative entropy, a natural information theoretic measure of the difference between probability distributions. Second, empirical models of the probability distribution of sea surface wind speeds, parameterized in terms of the parameters of the vector wind probability distribution, are developed. It is shown that Gaussian fluctuations in the vector wind cannot account for the observed features of the sea surface wind speed distribution, even if anisotropy in the fluctuations is accounted for. Four different non-Gaussian models of the vector wind distribution are then considered: the bi-Gaussian, the centered gamma, the Gram–Charlier, and the constrained maximum entropy. It is shown that so long as the relationship between the skewness and kurtosis of the along-mean sea surface wind component characteristic of observations is accounted for in the modeled probability distribution, then all four vector wind distributions are able to simulate the observed mean, standard deviation, and skewness of the sea surface wind speeds with an accuracy much higher than is possible if non-Gaussian structure in the vector winds is neglected. The constrained maximum entropy distribution is found to lead to the best simulation of the wind speed probability distribution. The significance of these results for the parameterization of air/sea fluxes in general circulation models is discussed.
4

Sun, Cangjie, and Adam H. Monahan. "Statistical Downscaling Prediction of Sea Surface Winds over the Global Ocean." Journal of Climate 26, no. 20 (October 4, 2013): 7938–56. http://dx.doi.org/10.1175/jcli-d-12-00722.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract The statistical prediction of local sea surface winds from large-scale, free-tropospheric fields is investigated at a number of locations over the global ocean using a statistical downscaling model based on multiple linear regression. The predictands (the mean and standard deviation of both vector wind components and wind speed) calculated from ocean buoy observations on daily, weekly, and monthly scales are regressed on upper-level predictor fields from reanalysis products. It is found that in general the mean vector wind components are more predictable than mean wind speed in the North Pacific and Atlantic, while in the tropical Pacific and Atlantic the difference in predictive skill between mean vector wind components and wind speed is not substantial. The predictability of wind speed relative to vector wind components is interpreted by an idealized model of the wind speed probability density function, which indicates that in the midlatitudes the mean wind speed is more sensitive to the vector wind standard deviations (which generally are not well predicted) than to the mean vector winds. In the tropics, the mean wind speed is found to be more sensitive to the mean vector winds. While the idealized probability model does a good job of characterizing month-to-month variations in the mean wind speed in terms of the vector wind statistics, month-to-month variations in the standard deviation of speed are not well modeled. A series of Monte Carlo experiments demonstrates that the inconsistency in the characterization of wind speed standard deviation is the result of differences of sampling variability between the vector wind and wind speed statistics.
5

Obermann, Anika, Benedikt Edelmann, and Bodo Ahrens. "Influence of sea surface roughness length parameterization on Mistral and Tramontane simulations." Advances in Science and Research 13 (July 8, 2016): 107–12. http://dx.doi.org/10.5194/asr-13-107-2016.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract. The Mistral and Tramontane are mesoscale winds in southern France and above the Western Mediterranean Sea. They are phenomena well suited for studying channeling effects as well as atmosphere–land/ocean processes. This sensitivity study deals with the influence of the sea surface roughness length parameterizations on simulated Mistral and Tramontane wind speed and wind direction. Several simulations with the regional climate model COSMO-CLM were performed for the year 2005 with varying values for the Charnock parameter α. Above the western Mediterranean area, the simulated wind speed and wind direction pattern on Mistral days changes depending on the parameterization used. Higher values of α lead to lower simulated wind speeds. In areas, where the simulated wind speed does not change much, a counterclockwise rotation of the simulated wind direction is observed.
6

Sun, Difu, Junqiang Song, Xiaoyong Li, Kaijun Ren, and Hongze Leng. "A Novel Sea Surface Roughness Parameterization Based on Wave State and Sea Foam." Journal of Marine Science and Engineering 9, no. 3 (February 25, 2021): 246. http://dx.doi.org/10.3390/jmse9030246.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
A wave state related sea surface roughness parameterization scheme that takes into account the impact of sea foam is proposed in this study. Using eight observational datasets, the performances of two most widely used wave state related parameterizations are examined under various wave conditions. Based on the different performances of two wave state related parameterizations under different wave state, and by introducing the effect of sea foam, a new sea surface roughness parameterization suitable for low to extreme wind conditions is proposed. The behaviors of drag coefficient predicted by the proposed parameterization match the field and laboratory measurements well. It is shown that the drag coefficient increases with the increasing wind speed under low and moderate wind speed conditions, and then decreases with increasing wind speed, due to the effect of sea foam under high wind speed conditions. The maximum values of the drag coefficient are reached when the 10 m wind speeds are in the range of 30–35 m/s.
7

Cheng, Tianyi, Zhaohui Chen, Jingkai Li, Qing Xu, and Haiyuan Yang. "Characterizing the Effect of Ocean Surface Currents on Advanced Scatterometer (ASCAT) Winds Using Open Ocean Moored Buoy Data." Remote Sensing 15, no. 18 (September 21, 2023): 4630. http://dx.doi.org/10.3390/rs15184630.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The ocean surface current influences the roughness of the sea surface, subsequently affecting the scatterometer’s measurement of wind speed. In this study, the effect of surface currents on ASCAT-retrieved winds is investigated based on in-situ observations of both surface winds and currents from 40 open ocean moored buoys in the tropical and mid-latitude oceans. A total of 28,803 data triplets, consisting of buoy-observed wind vectors, current vectors, and ASCAT Level 2 wind vectors, were collected from the dataset spanning over 10 years. It is found that the bias between scatterometer-retrieved wind speed and buoy-observed wind speed is negatively correlated with the ocean surface current speed. The wind speed bias is approximately 0.96 times the magnitude of the downwind surface current. The root-mean-square error between the ASCAT wind speeds and buoy observations is reduced by about 15% if rectification with ocean surface currents is involved. Therefore, it is essential to incorporate surface current information into wind speed calibration, particularly in regions with strong surface currents.
8

Tokinaga, Hiroki, and Shang-Ping Xie. "Wave- and Anemometer-Based Sea Surface Wind (WASWind) for Climate Change Analysis*." Journal of Climate 24, no. 1 (January 1, 2011): 267–85. http://dx.doi.org/10.1175/2010jcli3789.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract Ship-based measurements of sea surface wind speed display a spurious upward trend due to increases in anemometer height. To correct this bias, the authors constructed a new sea surface wind dataset from ship observations of wind speed and wind wave height archived in the International Comprehensive Ocean–Atmosphere Data Set (ICOADS). The Wave- and Anemometer-based Sea surface Wind (WASWind) dataset is available for wind velocity and scalar speed at monthly resolution on a 4° × 4° longitude–latitude grid from 1950 to 2008. It substantially reduces the upward trend in wind speed through height correction for anemometer-measured winds, rejection of spurious Beaufort winds, and use of estimated winds from wind wave height. The reduced global upward trend is smallest among the existing global datasets of in situ observations and comparable with those of reanalysis products. Despite the significant reduction of globally averaged wind speed trend, WASWind features rich spatial structures in trend pattern, making it a valuable dataset for studies of climate changes on regional scales. Not only does the combination of ship winds and wind wave height successfully reproduce major modes of seasonal-to-decadal variability; its trend patterns are also physically consistent with sea level pressure (SLP) measurements. WASWind is in close agreement with wind changes in satellite measurements by the Special Sensor Microwave Imagers (SSM/Is) for the recent two decades. The agreement in trend pattern with such independent observations illustrates the utility of WASWind for climate trend analysis. An application to the South Asian summer monsoon is presented.
9

Ben Miloud, Haifa M., and 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, no. 1 (April 30, 2024): 38–46. http://dx.doi.org/10.54172/whj12t15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The effect of winds and sea surface temperature on the concentration of chlorophyll-a, which is the primary source for phytoplankton to produce carbon through photosynthesis, is one of the climatic changes formed in the atmosphere and oceans that are the focus of current global studies. The study found a strong correlation between the concentration of chlorophyll-a and wind speed. The concentration of chlorophyll-a rises with increasing wind speed and reaches 0.85. Conversely, the relationship between sea surface temperatures and chlorophyll-a concentration is inverse, meaning that the higher the sea surface temperatures, the lower the concentration of chlorophyll-a. The inverse relationship approaches -0.798 in seawater. The intensity of chlorophyll-a concentration at sea and its relationship with wind speed and sea surface temperature explain why the percentage of the effect of variable wind speed and sea surface temperature on the concentration of chlorophyll-a is affected by (73.6%, 63.8%) on the concentration of chlorophyll-a, respectively.
10

Bell, T. G., W. De Bruyn, S. D. Miller, B. Ward, K. Christensen, and 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, no. 5 (May 21, 2013): 13285–322. http://dx.doi.org/10.5194/acpd-13-13285-2013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Abstract. Shipboard measurements of eddy covariance DMS air/sea fluxes and seawater concentration were carried out in the North Atlantic bloom region in June/July 2011. Gas transfer coefficients (k660) show a linear dependence on mean horizontal wind speed at wind speeds up to 11 m s−1. At higher wind speeds the relationship between k660 and wind speed weakens. At high winds, measured DMS fluxes were lower than predicted based on the linear relationship between wind speed and interfacial stress extrapolated from low to intermediate wind speeds. In contrast, the transfer coefficient for sensible heat did not exhibit this effect. The apparent suppression of air/sea gas flux at higher wind speeds appears to be related to sea state, as determined from shipboard wave measurements. These observations are consistent with the idea that long waves suppress near surface water side turbulence, and decrease interfacial gas transfer. This effect may be more easily observed for DMS than for less soluble gases, such as CO2, because the air/sea exchange of DMS is controlled by interfacial rather than bubble-mediated gas transfer under high wind speed conditions.
More sources
You might also be interested in the extended bibliographies on the topic 'Wind speed at the sea surface' for particular source types:
Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Wind speed at the sea surface":

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Malgré les avancées dans la prédiction de la trajectoire des cyclones tropicaux et des vitesses de vent dans la région externe, la représentation numérique des vents les plus forts associés aux événements les plus intenses demeure une question ouverte, principalement en raison de la faible taille du cœur du cyclone et de la difficulté à comprendre et résoudre les échanges turbulents entre l’océan et l’atmosphère. Les limitations observationnelles ont longtemps entravé des mesures précises de la surface océanique près de la région centrale dans des conditions de vent extrême, tandis que les satellites géostationnaires aident à caractériser les motifs nuageux mais ne donnent pas d’information directe sur l’interface air-mer. Récemment, le radar à ouverture de synthèse (SAR) a émergé comme une technologie satellitaire prometteuse capable de produire des mesures bidimensionnelles haute résolution des vitesses du vent à la surface de l’océan, grâce à de nouveaux modes d’acquisition et à des développements algorithmiques. Compte tenu de ces nouvelles opportunités d’observation, nous explorons la contribution des caractéristiques structurelles près du cœur, exclusivement discernables à travers des instruments haute résolution, à la dynamique des cyclones. En utilisant un cadre théorique simple et examinant sa cohérence avec les mesures SAR, nous démontrons que les vents en surface près du cœur contrôlent l’évolution de la structure du vent du cyclone. Le cadre développé permet d’illustrer comment les futures mesures des caractéristiques de la couche limite océan-atmosphère pourraient bénéficier du suivi à court et à long terme des cyclones tropicaux
Despite 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
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
This dissertation presents new methods for detecting dynamic and thermodynamic characteristics of Arctic sea ice using radar remote sensing. A new technique for sea ice motion detection from sequential satellite synthetic aperture radar (SAR) images was developed and thoroughly validated. The accuracy of the system is 0.43 km obtained from a comparison between SAR-derived ice motion vectors and in-situ sea ice beacon trajectories. For the first time, we evaluated ice motion tracking results derived from co-polarization (HH) and cross-polarization (HV) channels of RADARSAT-2 ScanSAR imagery and formulated a condition where the HV channel is more reliable than the HH channel for ice motion tracking. Sea ice motion is substantially controlled by surface winds. Two new models for ocean surface wind speed retrieval from C-band SAR data have been developed and validated based on a large body of statistics on buoy observations collocated and coincided with RADARSAT-1 and -2 ScanSAR images. The proposed models without wind direction input demonstrated a better accuracy than conventionally used algorithms. As a combination of the developed methods we designed a wind speed-ice motion product which can be a useful tool for studying sea ice dynamics processes in the marginal ice zone. To effectively asses the thermodynamic properties of sea ice advanced tools for modeling electromagnetic (EM) wave scattering from rough natural surfaces are required. In this dissertation we present a new analytical formulation for EM wave scattering from rough boundaries interfacing inhomogeneous media based on the first-order approximation of the small perturbation method. Available solutions in the literature represent special cases of our general solution. The developed scattering theory was applied to experimental data collected at three stations (with different snow thicknesses) in the Beaufort Sea from the research icebreaker Amundsen during the Circumpolar Flaw Lead system study. Good agreement between the model and experimental data were observed for all three case studies. Both model and experimental radar backscatter coefficients were considerably higher for thin snow cover (4 cm) compared to the thick snow cover case (16 cm). Our findings suggest that, winter snow thickness retrieval may be possible from radar observations under particular scattering conditions.
3

Zambra, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Cette thèse vise à étudier l’utilisation simultanée d’ensembles de données océaniques hétérogènes afin d’améliorer les performances des modèles prédictifs utilisés dans les domaines scientifiques et opérationnels pour la simulation et l’analyse de l’océan et du milieu marin. Deux études de cas distinctes ont été explorées au cours des travaux de thèse. La première étude se concentre sur l’estimation locale de la vitesse du vent à la surface de la mer à partir de mesures du paysage sonore sous-marin et de produits de modèles atmosphériques. La deuxième étude considère l’extension spatiale du problème et l’utilisation d’observations à différentes échelles et résolutions spatiales, depuis les pseudo-observations simulant des images satellites jusqu’aux séries temporelles mesurées par des infrastructures in-situ. Le thème récurrent de ces recherches est la multi-modalité des données introduites dans le modèle. En d’autres termes, dans quelle mesure et comment le modèle prédictif peut bénéficier de l’utilisation de canaux d’information spatio-temporels hétérogènes. L’outil méthodologique privilégié est un système de simulation basé sur l’assimilation variationnelle des données et les concepts d’apprentissage profond
The 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
4

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sun, Yiping. "Sea state monitoring by radar altimeter from a microsatellite." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844478/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
This thesis constitutes a general survey and a study of significant extensions to the usual conventional satellite radar altimetry. Historically radar altimeter has been configured to the measurement of mean sea level. It is well known that other statistics such as Significant Wave Height (SWH) and wind speed are in principle recoverable from the radar echo and these are currently of great interest. It has been the aim in this thesis to optimize such measurements, for a general meteorological application, with less interest shown in absolute measurement of sea level. Current technology makes possible a total Earth survey using a constellation of small satellites, covering the entire Earth sea surface with short revisit time. Such solutions necessitate less cost, lower power, and less precise attitude control than the scientific satellites used hitherto. The purpose of this thesis is to present a novel two mode radar altimeter for sea state monitoring. SWH is still measured by conventional high-resolution mode, which is not sensitive to off-nadir pointing. An additional novel low-resolution mode is proposed for wind speed measurement. By using this mode, wind speed measurement is much more robust to pointing error than by using conventional high-resolution mode. An improved wind speed measurement can be achieved by using a cost effective small satellite. Some considerable time was also spent on incorporating SAR (Synthetic Aperture Radar) into altimetry techniques to improve the signal to noise ratio. For sea state monitoring the improvements are relatively disappointing, although greater improvement are expected for ice sheet monitoring.
6

Park, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Masson, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The Marginal Ice Zone includes wide areas covered by dispersed ice floes in which wave conditions are significantly affected by the ice. When the wind blows from the solid ice pack, towards the open sea, growing waves are scattered by the floes, their spectral characteristics being modified. To further understand this problem, a model for the evolution of wind waves in a sparse field of ice floes was developed. The sea state is described by a two-dimensional discrete spectrum. Time-limited wave growth is obtained by numerical integration of the energy balance equation using the exact nonlinear transfer integral. Wave scattering by a single floe is represented in terms of far-field expressions of the diffracted and forced potentials obtained numerically by the Green's function method. The combined effect of a homogeneous field of floes on the wave spectrum is expressed in terms of the Foldy-Twersky integral equations under the assumption of single scattering. The results show a strong dependence of the spectrum amplitude and directional properties on the ratio of the ice floe diameter to the wavelength. For a certain range of this parameter, the ice cover appears to be very effective in dispersing the energy; the wave spectrum rapidly tends to isotropy, limiting its growth both for the energy content and the peak frequency. It is therefore unlikely that an offshore wind blowing over the Marginal Ice Zone would generate a significant wave field.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
8

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2001.
Includes 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.
9

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The size distribution and scattering coefficient of the marine aerosol was measured over the Southern Ocean during the First Aerosol Characterization Experiment (ACE 1) and over the tropical Pacific Ocean during the Second Pacific Exploratory Mission in the Tropics (PEMT-B). Thermal analysis of particles at near ambient temperature (40 °C), 150 °C, and 300 °C enabled us to estimate size distributions of the volatile (mostly sulfate and organic) and refractory (mostly sea-salt) modes as well as their contributions to optical depth and cloud condensation nuclei. When averaged spatially and temporally, sea-salt concentrations show dependence upon wind speed over the Southern Ocean up to an altitude of 1200 m. Their median contribution to column optical depth is 0.057, 0.033, and 0.021 at wind speed >10 m/s, 5 -10 m/s, and ≤ 5 m/s, respectively, and the median over all wind speed categories is 0.041. However, on a case-by-case basis, the physical and optical properties show a large variance due to other meteorological conditions. The scales of this variability are also discussed along with examples of processes that contribute to them such as cloud processing and vertical wind speed gradient.
ix, 95 leaves
10

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Bibliography : leaves 81-85.
Although 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.
More sources

Books on the topic "Wind speed at the sea surface":

1

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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Halpern, 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Halpern, 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Halpern, 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

David, Halpern, and Jet Propulsion Laboratory (U. S.), eds. 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Andrews, 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

United States. National Weather Service., ed. Guide to sea state, wind, and clouds. [Washington, D.C.?]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Halpern, 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

O'Muircheartaigh, I. G. Estimation of sea-surface windspeed from whitecap cover: Statistical approaches compared empirically and by simulation. Monterey, Calif: Naval Postgraduate School, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. 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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Wind speed at the sea surface":

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zapevalov, Alexander, Konstantin Pokazeev, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Niu, Xinliang, Feng Lu, Yuanhua Liu, Cheng Jing, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhou, Zhenxiong, Boheng Duan, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Albert, Jiya, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tambke, J., J. A. T. Bye, Bernhard Lange, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Soloviev, Alexander, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Liu, W. Timothy, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Schmidt, Henrik, Tuncay Akal, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Farmer, D. M., and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Wind speed at the sea surface":

1

Said, Faozi, Zorana Jelenak, Paul S. Chang, Wenqing Tang, Alexander G. Fore, Alexander Akins, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hu, Yongxiang, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bao, Qingliu, Youguang Zhang, Wentao An, Limin Cui, Shuyan Lang, Mingsen Lin, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Huang, L., A. Buono, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yu, Kegen, Chris Rizos, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Xu, Yuan, Jingsong Yang, Guangjun Xu, Xiaoyan Chen, and Lin Ren. "Data fusion of sea surface wind speed from multisatellite altimeters." In Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, edited by Jinwen Tian and Jie Ma. SPIE, 2013. http://dx.doi.org/10.1117/12.2031409.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Huang, L., M. Migliaccio, F. Nunziata, V. Carcione, Z. Zhang, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sun, Youjun, Shuxuan Wang, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wang, Wei, Eric W. Gill, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wei, Shiyan, Sheng Yang, and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Wind speed at the sea surface":

1

Wenren, Yonghu, Luke Allen, and Robert Haehnel. SAGE-PEDD user manual. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/44960.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
SAGE-PEDD is a computational model for estimating snowdrift shapes around buildings. The main inputs to the model are wind speed, wind direction, building geometry and initial ground or snow-surface topography. Though developed mainly for predicting snowdrift shapes, it has the flexibility to accept other soil types, though this manual addresses snow only. This manual provides detailed information for set up, running, and viewing the output of a SAGE-PEDD simulation.
2

Avara, Elton P., and Bruce T. Miers. Surface Wind Speed Distributions. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada253268.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gregow, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The new EU strategy on adaptation to climate change highlights the urgency of adaptation measures while bringing forth adaptation as vitally important as a response to climate change as mitigation. In order to provide information on how adaptation to climate change has been promoted in Finland and what calls for attention next, we have compiled a comprehensive information package focusing on the following themes: adaptation policy, impacts of climate change including economic impacts, regional adaptation strategies, climate and flood risks in regions and sea areas, and the availability of scientific data. This report consists of two parts. Part 1 of the report examines the work carried out on adaptation in Finland and internationally since 2005, emphasising the directions and priorities of recent research results. The possibilities of adaptation governance are examined through examples, such as how adaptations steering is organised in of the United Kingdom. We also examine other examples and describe the Canadian Climate Change Adaptation Platform (CCAP) model. We apply current information to describe the economic impacts of climate change and highlight the related needs for further information. With regard to regional climate strategy work, we examine the status of adaptation plans by region and the status of the Sámi in national adaptation work. In part 2 of the report, we have collected information on the temporal and local impacts of climate change and compiled extensive tables on changes in weather, climate and marine factors for each of Finland's current regions, the autonomous Åland Islands and five sea areas, the eastern Gulf of Finland, the western Gulf of Finland, the Archipelago Sea, the Bothnian Sea and the Bay of Bothnia. As regards changes in weather and climate factors, the changes already observed in 1991-2020 are examined compared to 1981-2010 and future changes until 2050 are described. For weather and climate factors, we examine average temperature, precipitation, thermal season duration, highest and lowest temperatures per day, the number of frost days, the depth and prevalence of snow, the intensity of heavy rainfall, relative humidity, wind speed, and the amount of frost per season (winter, spring, summer, autumn). Flood risks, i.e. water system floods, run-off water floods and sea water floods, are discussed from the perspective of catchment areas by region. The impacts of floods on the sea in terms of pollution are also assessed by sea area, especially for coastal areas. With regard to marine change factors, we examine surface temperature, salinity, medium water level, sea flood risk, waves, and sea ice. We also describe combined risks towards sea areas. With this report, we demonstrate what is known about climate change adaptation, what is not, and what calls for particular attention. The results can be utilised to strengthen Finland's climate policy so that the implementation of climate change adaptation is strengthened alongside climate change mitigation efforts. In practice, the report serves the reform of the National Climate Change Adaptation Plan and the development of steering measures for adaptation to climate change both nationally and regionally. Due to its scale, the report also serves e.g. the United Nations’ aim of protecting marine life in the Baltic Sea and the national implementation of the EU strategy for adaptation to climate change. As a whole, the implementation of adaptation policy in Finland must be speeded up swiftly in order to achieve the objectives set and ensure sufficient progress in adaptation in different sectors. The development of binding regulation and the systematic evaluation, monitoring and support of voluntary measures play a key role.
4

Andrews, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lyzenga, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Young, George S. Wind Direction Estimates from Synthetic Aperture Radar Imagery of the Sea Surface. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada432157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sikora, Todd D., and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sikora, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Young, George S., and 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Getzlaff, 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles

To the bibliography