Results 11 to 20 of about 111,141 (260)

Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering [PDF]

open access: yesScientific Reports
Accurate prediction of significant wave height (SWH) in the Southern Ocean remains a critical challenge due to extreme weather conditions and limited observational data, impacting maritime safety and climate research.
Alireza Hakimi, Hossein Farjami
doaj   +2 more sources

The Wide Swath Significant Wave Height: An Innovative Reconstruction of Significant Wave Heights From CFOSAT’s SWIM and Scatterometer Using Deep Learning [PDF]

open access: yesGeophysical Research Letters, 2021
AbstractThe accuracy of a wave model can be improved by assimilating an adequate number of remotely sensed wave heights. The Surface Waves Investigation and Monitoring (SWIM) and Scatterometer (SCAT) instruments onboard China‐France Oceanic SATellite provide simultaneous observations of waves and wide swath wind fields.
J. K. Wang   +6 more
openaire   +4 more sources

Significant wave height prediction through artificial intelligent mode decomposition for wave energy management

open access: yesEnergy and AI, 2023
The prediction of significant wave height (SWH) is crucial for managing wave energy. While many machine learning studies have focused on accurately predicting SWH values within hours in advance, the primary concern should be given to the level of the ...
Yaoran Chen   +8 more
doaj   +1 more source

Prediction of the Severest Significant Wave Height

open access: yesCoastal Engineering 1980, 1980
This paper presents a method to statistically estimate the severest sea state (significant wave height) from the observed data. For the estimation of extreme significant wave height, a precise representation of the data by a certain probability function is highly desirable.
Michel K. Ochi, Joseph E. Whalin
openaire   +2 more sources

Significant Wave Height Estimation from Space-Borne Cyclone-GNSS Reflectometry

open access: yesRemote Sensing, 2019
The significant wave height (SWH) of the sea is an important parameter and plays an important role in the prediction of waves and ocean dynamics. However, traditional methods, e.g., buoys or traditional remote sensing techniques such as X-band radar ...
Qin Peng, Shuanggen Jin
doaj   +1 more source

Improved CYGNSS Wind Speed Retrieval Using Significant Wave Height Correction

open access: yesRemote Sensing, 2021
This article presents the methodology for an improved estimation of the sea surface wind speed measured by the cyclone global navigation satellite system (CYGNSS) constellation of satellites using significant wave height (SWH) information as external ...
Daniel Pascual   +2 more
doaj   +1 more source

Utilization of Wavewatch III Model Output Data for High Wave Analysis

open access: yesIlmu Kelautan, 2019
This study discusses the occurrence of extreme waves in North Sulawesi waters from 17 to 24 June 2016 using Wavewatch III (WW3) model output data with resolution 0.125o x 0.125o extracted from MIDAS-BMKG. The extracted WW3 data is mapped using ArcMap and
Ricky Daniel Aror   +2 more
doaj   +1 more source

Estimating Significant Wave Height from SAR with Long Integration Times

open access: yesApplied Sciences, 2022
Synthetic aperture radar (SAR) is an important means of estimating significant wave height with obvious advantages of all-day, all-weather, high resolution and wide swath coverage.
Yawei Zhao   +4 more
doaj   +1 more source

Propagation of waves over a rugged topography

open access: yesJournal of Ocean Engineering and Science, 2022
The propagation of waves in shallow waters is affected by the bottom topography unlike deep water waves of the coastal environment. Due to the interaction of the wave with bed topography, the wave transformation processes occur.
Mohammad Saud Afzal, Lalit Kumar
doaj   +1 more source

Ocean Wave Parameters Retrieval from TerraSAR-X Images Validated against Buoy Measurements and Model Results

open access: yesRemote Sensing, 2015
An ocean surface wave retrieval algorithm, Parameterized First-guess Spectrum Method (PFSM), which was initially developed for C-band Synthetic Aperture Radar (SAR), is modified to extract wave parameters from X-band TerraSAR-X (TS-X) images.
Weizeng Shao, Xiaofeng Li, Jian Sun
doaj   +1 more source

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