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Estimation of significant wave height and wave height density function using satellite altimeter data

Journal of Geophysical Research: Solid Earth, 1979
A technique for estimating the ocean surface roughness probability density function from satellite altimeter data is presented. Results from the application of the technique to Geos 3 altimeter data demonstrate its ability to detect both large‐scale and small‐scale structural deviations from the Gaussian distribution. Knowledge of the surface roughness
R. W. Priester, L. S. Miller
openaire   +1 more source

Significant Wave Height Retrieval from Gaofen-3 Wave Mode Images

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Significant wave height $(H_{s})$ , is an important parameter, represented as the integration of directional wave spectra. Although many researchers have directly extracted $H_{s}$ from SAR images and got a great accuracy of retrieval, those approaches are not suitable for GF-3 SAR data. In this paper, we propose an empirical approach for SAR $H_{s}
Jing Wang   +4 more
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A new method for modelling the space variability of significant wave height

Extremes, 2005
The paper is devoted to stochastic modelling of significant wave heights \(H_s\) (\(s\) being the spatial location) in the North Atlantics based on data of the TOPEX-Poseidon satellite, which measures \(H_s\) along one-dimensional tracks. In the model \(X_s=\log H_s\) is considered as a sum of two independent Gaussian processes which describe a long ...
Baxevani, Anastassia   +5 more
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Estimating Nearshore Significant Wave Height for Irregular Waves

2023
Design curves for predicting nearshore significant wave height for irregular wave conditions, given deepwater wave conditions and the nearshore bottom slope, are presented. Examples of the curves. used are given. The design curves were developed using the analytical model of Goda (1975).
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System for Estimation of Significant Height and Direction of Waves by using Radar Intensities

IEEE Latin America Transactions, 2014
The paper explains the process for obtaining ocean variables using a radar located ashore. The paper presents one algorithm for selecting a sea clutter area with required information to calculate sea variables. The reported algorithms to extract those variables have been enhanced by including filtering stages.
Ivan Arias Hernandez   +2 more
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A Model for the Distribution Function for Significant Wave Height

2023
A model based on a three-parameter Weibull distribution function is given for the longterm distribution of significant wave height. The model, formulated in dimensionless terms, is believed to provide a more general representation than the corresponding models given in the Shore Protection Manual (SPM).
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Statistical structure of global significant wave heights

2010
Near-real time ocean significant wave heights from ERS-1 & 2, Topex/Poseidon, Geosat Follow-on, Jason-1 and 2, and Envisat on 1 degrees x 1 degrees resolution for world oceans (82.5 degrees S to 82.5 degrees N) are available online as “Radar Altimetry Tutorial (RAT)”.
Chu, Peter C.   +2 more
openaire   +1 more source

Corrected spectra of wind speed and significant wave height

Journal of Geophysical Research: Oceans, 1990
In a recent paper (Monaldo, 1988) I presented spatial spectra of wind speed and significant wave height (SWH) variance. The spectra were calculated from spatial variations of wind speed and SWH as measured by the Seasat and Geosat radar altimeters. It has recently come to my attention that these spectra were incorrectly calculated.
openaire   +1 more source

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