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GPS Reflections for Sea Surface Wind Speed Measurement
IEEE Geoscience and Remote Sensing Letters, 2008In this letter, Global Positioning System (GPS) reflections for sea surface wind speed measurement are explored. The reflected signal correlation power is employed to retrieve the sea surface wind speed with a certain degree of accuracy. The GPS coarse-acquisition code autocorrelation sidelobe is studied and considered in the reflected signal model ...
D. K. Yang +3 more
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Albedos And Glitter Patterns Of A Wind-Roughened Sea Surface
SPIE Proceedings, 1986Abstract The downward albedo (irradiance reflectance) r− and the upward albedo r+ of a random air–water surface, formed by capillary waves, are computed as a function of lighting conditions and wind speed by Monte Carlo means for incident unpolarized radiant flux.
Rudolph W. Preisendorfer +1 more
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NOAA operational SAR sea surface wind products
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011SAR-derived wind measurements are in the process of being implemented for operational production within NOAA's National Environmental Satellite, Data, and Information Service. For C-band ENVISAT and RADARSAT-1/2 data, the CMOD5 algorithm is being used; for ALOS data, a special L-band wind algorithm is employed.
William Pichel +5 more
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Validation of SAR-derived sea surface wind products
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012In this paper, we performed a comparison of wind speed from synthetic aperture radar (SAR), scatterometer, moored buoys and numerical model. These comparisons were made in near U.S. coast regions. The results indicate that SAR-derived ocean surface wind speeds are as accurate as the scatterometer and model wind products.
Xiaofeng Li 0001 +2 more
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Wave dependence of sea-surface wind stress
Deep Sea Research Part B. Oceanographic Literature Review, 1990Abstract Distribution of the wind stress over the oceans is usually estimated by using a bulk formula. It contains the squared 10-m wind speed multiplied by the drag coefficient, which has been assumed in many cases to be a weak function of the 10-m wind speed. Over land the important role of thermal stratification has been clearly recognized, but over
Yoshiaki Toba +4 more
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Big Data Management of Sea Surface Wind Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Global wind data are increasingly used in many applications and research fields because it provides global coverage of ocean surface winds with an unprecedented view, and data are available at a sufficiently large spatial scale and high temporal resolution.
Félix Rodríguez Rodríguez +3 more
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Measurements of the infrared emissivity of a wind-roughened sea surface
Applied Optics, 2005Spectral statistical-analysis techniques were developed and applied to high-spectral-resolution infrared measurements of the sea surface. The effective incidence angle of a ship-borne instrument in typical at-sea conditions was found to introduce errors of up to 0.7 K in sea-surface temperature retrievals at a 55 degrees view angle.
Jennifer A, Hanafin, Peter J, Minnett
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Ocean Dynamics, 2019
In this study, the spatial and temporal variability in surface chlorophyll a (Chl-a) in the whole South China Sea (SCS) was investigated in detail by using 8-day, 4-km, gap-free MODIS-A data (2003–2016). Monthly climatology and empirical-orthogonal-functions analysis of Chl-a were performed in association with sea surface temperature and surface wind ...
Huynh, Thi Hong Ngu +2 more
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In this study, the spatial and temporal variability in surface chlorophyll a (Chl-a) in the whole South China Sea (SCS) was investigated in detail by using 8-day, 4-km, gap-free MODIS-A data (2003–2016). Monthly climatology and empirical-orthogonal-functions analysis of Chl-a were performed in association with sea surface temperature and surface wind ...
Huynh, Thi Hong Ngu +2 more
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The ‘roughness’ of the sea surface in light winds
Journal of Geophysical Research, 1974If above some surface one observes under neutral conditions a logarithmic velocity distribution, it is possible to assign a ‘roughness length’ z0 to the surface using the wellhyphen;known ‘wall layer’ law (see, for example, Monin and Yaglom [1971]): where u* = 7lpar;τ0/ρ)1/2 is friction velocity, k is Karman's constant, and z0 is roughness length.
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Aerodynamic roughness of the sea surface at high winds
Boundary-Layer Meteorology, 2007The role of the surface roughness in the formation of the aerodynamic friction of the water surface at high wind speeds is investigated. The study is based on a wind-over-waves coupling theory. In this theory waves provide the surface friction velocity through the form drag, while the energy input from the wind to waves depends on the friction velocity
Vladimir N. Kudryavtsev +1 more
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