Results 261 to 270 of about 5,965,886 (309)

Impact of Surface Roughness on AMSR-E Sea Ice Products

IEEE Transactions on Geoscience and Remote Sensing, 2006
This paper examines the sensitivity of Advanced Microwave Scanning Radiometer (AMSR-E) brightness temperatures (Tbs) to surface roughness by a using radiative transfer model to simulate AMSR-E Tbs as a function of incidence angle at which the surface is viewed.
Thorsten Markus, D K Perovich, A J Gasiewski   +2 more
exaly   +2 more sources

Multiresolution optical characteristics of rough sea surface in the infrared

Applied Optics, 2007
An analytical model of sea optical properties has been developed in order to generate sea surface images, as seen by an infrared sensor. This model is based on a statistical approach and integrates the spatial variability of a wind-roughened sea surface whose variability ranges from a 1-m to a kilometer scale.
Karine, Caillault, Sandrine, Fauqueux, Christophe, Bourlier, Pierre, Simoneau, Luc, Labarre   +4 more
openaire   +2 more sources

On Detection of a Wave Age Dependency for the Sea Surface Roughness

Journal of Physical Oceanography, 2004
The wave age dependency of the nondimensional sea surface roughness (also called the Charnock parameter) is investigated with data from the new field measurement program at Rodsand in the Danish Baltic Sea. An increasing Charnock parameter with inverse wave age is found, which can be described by a power-law relation.
Lange, B., Johnson, H.K., Larsen, S., Hojstrup, J., Kofoed-Hansen, H., Yelland, M.J.   +5 more
openaire   +2 more sources

The Dependence of Sea Surface Roughness on the Height and Steepness of the Waves

Journal of Physical Oceanography, 2001
It is proposed that the sea surface roughness zo can be predicted from the height and steepness of the waves, zo/Hs = A(Hs/Lp)B, where Hs and Lp are the significant wave height and peak wavelength for the combined sea and swell spectrum; best estimates for the coefficients are A = 1200, B = 4.5.
Taylor, Peter K., Yelland, Margaret J.
openaire   +2 more sources

Surface roughness estimation from GPS sea reflections

IEEE International Geoscience and Remote Sensing Symposium, 2003
The research reported in this paper was motivated by a Global Positioning System (GPS) data set collected by researchers at The Johns Hopkins University, Applied Physics Laboratory (JHU/APL) in May 1999. Raw GPS signal data were collected from an aircraft equipped with two downlooking antennas for receiving both left-hand circularly polarized (LHCP ...
Dale R. Thompson, L. A. Linstrom, R. F. Gasparovic, Tanos M. Elfouhaily   +3 more
openaire   +2 more sources

Comparison among sea surface roughness schemes

Chinese Journal of Oceanology and Limnology, 2005
Based on the measurements from the US National Data Buoy Center 3-m discus buoy site No. 44004 (38.5°N, 70.47°W) from January 1 to March 31 of 2003, with the COARE algorithm (Version 3.0), the results from four parameterization schemes developed recently for sea surface aerodynamic roughness length were compared with each other.
Sha Wenyu, Gui Qijun, Pan Yuping, Min Jinzhong, Yin Zhijun   +4 more
openaire   +1 more source

The ‘roughness’ of the sea surface in light winds

Journal of Geophysical Research, 1974
If 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.
openaire   +1 more source

The calculation of infrared radiance of rough sea surface

ISAPE2012, 2012
Based on the Cox-Munk sea model, we calculate the emissivity of rough sea surface without interaction between the wave facets, and the emissivity of rough sea surface considering about interaction between the wave facets. According to the emissivity of rough sea surface, we compute the radiance diances of rough sea surface based on the two emissivity ...
Yi Wang, Liang Chao Li, Huan Ren, Lan Hai Jin   +3 more
openaire   +1 more source

Remote sensing of the roughness of a fractal sea surface

Journal of Geophysical Research: Oceans, 1991
One use of radar altimeters is to measure surface wind speeds through their effect on the roughness of the sea surface. The specular point reflection model is only appropriate for surfaces with roughness on scales which are large in relation to the radar wavelength. This may not be the case for ocean surfaces. Here we model the sea surface as a fractal
Yehuda Agnon, Michael Stiassnie
openaire   +1 more source

Comparison Studies on Sea Surface Roughness Schemes

Advanced Materials Research, 2012
The data, originated from the RASEX experiment and the Surface Wave Dynamics Experiment. RASEX experiment took place at an offshore wind turbine site in the Baltic Sea in 1994, it is representative of the fetch-limited conditions; SWADE experiment was carried out off the Atlantic coast of the United States in 1990, it is representative of the wind-sea ...
Yu Ping Pan, Su Fang Ge, Wen Yu Sha
openaire   +1 more source