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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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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This study focuses on the retrieval and validation of sea-surface wind speeds using data from the interferometric imaging radar altimeter (InIRA) aboard the Chinese Tiangong-2 space laboratory.
L. Ren +5 more
semanticscholar +1 more source
This study focuses on the retrieval and validation of sea-surface wind speeds using data from the interferometric imaging radar altimeter (InIRA) aboard the Chinese Tiangong-2 space laboratory.
L. Ren +5 more
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Revisiting dependences of the drag coefficient at the sea surface on wind speed and sea state
, 2020Accurate representation of wind stress is important for modelling and predictions of marine environmental conditions. The effect of sea state on wind stress is usually parameterized by relating the equivalent sea surface roughness to the wave age or wave
Shangfei Lin, J. Sheng
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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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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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Changes in Sea Surface Roughness in Light Wind
2021Correct interpretation and application of remote sensing data from spacecraft requires detailed information about the sea surface. The structure and variability of the sea surface are analyzed under conditions that are most favorable for remote monitoring of processes occurring near the ocean–atmosphere boundary.
I. P. Shumeyko +2 more
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Sea Sate and Sea Surface Wind Measurement by Spaceborne SAR in the Arctic Ocean
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021The Back Propagation Neural Network (BPNN) method and the MPI method are used to retrieve the sea state parameters (significant wave height, SWH) and ocean wave spectra from the Sentinel-1 Extra Wide Swath mode (EW) and Interferometric Wide Swath (IW) data acquired in the Arctic ocean.
Bingqing Huang, Ke Wu, Xiao-Ming Li 0005
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