Results 211 to 220 of about 6,074 (256)

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

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

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

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   +1 more source

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

On the Dependence of Sea Surface Roughness on Wave Development

Journal of Physical Oceanography, 1993
Abstract The aerodynamic roughness of the sea surface, z0, is investigated using data from Lake Ontario, from the North Sea near the Dutch coast, and from an exposed site in the Atlantic Ocean off the coast of Nova Scotia. Scaling z0 by rms wave height gives consistent results for all three datasets, except where wave heights in the Atlantic Ocean are ...
Mark A. Donelan, Fred W. Dobson, Stuart D. Smith, Robert J. Anderson   +3 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

Rough sea surface implications on receiver deghosting

First Break, 2017
Efficient removal of ghost events is the key to achieving broadband seismic data. On the receiver-side, accurate ghost removal can be performed when both pressure and vertical particle velocity information is available. However, deghosting pressure-only measurements by spectral division with a flat sea surface or a statistical ghost function is still ...
Endrias Getachew Asgedom, Okwudili Chuks Orji, Tilman Klüver, Hocine Tabti, Walter Söllner   +4 more
openaire   +1 more source

Comparison of Methods for Rough Sea-surface Estimation

Proceedings, 2017
Marine seismic data acquired in rough sea conditions present a challenge to successful processing due to the time- and space-dependent perturbations introduced at the source and the relative timing of the ghost at the receivers. It is possible to partially correct for these perturbations via stochastic treatments based on an assumed sea-state, but a ...
R.H. Telling, S. Grion
openaire   +1 more source