Machine learning approach to predict significant wave height
Вестник КазНУ. Серия математика, механика, информатика, 2021 To estimate significant wave height of ocean wave, a machine learning framework is developed. Significant wave height and period can be used by supervised training of machine learning to predict ocean conditions.
Z. Ahmad, M. Mansurova
doaj +2 more sources
Estimation of Significant Wave Height Using Wave-Radar Images
Journal of Marine Science and EngineeringCharacteristics of random ocean waves have been measured by different devices, and X-band marine radar is one of the typical devices. This study proposes an enhanced methodology for estimating the significant wave height of ocean waves through the ...
Jae-Hoon Lee +4 more
doaj +2 more sources
Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering [PDF]
Scientific ReportsAccurate 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
Significant wave height retrieval from synthetic radar images [PDF]
, 2014 In many offshore activities radar imagery is used to observe and predict ocean waves. An important issue in analyzing the radar images is to resolve the significant wave height. Different from 3DFFT methods that use an estimate related to the square root
Groesen, E. van, Wijaya, A.P.
core +3 more sources
New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting
IEEE Access, 2023 In this paper, we have developed a series of wave hybrid models for significant wave height prediction. Our developed hybrid models uses a triplet of signal decomposition method, regression model and meta-heuristic algorithm. We have used the $\epsilon $
Pritam Anand +2 more
doaj +1 more source
Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
Remote Sensing, 2022 A long-duration, multi-mission altimeter dataset is analyzed to determine its accuracy in determining long-term trends in significant wave height.
Ian R. Young, Agustinus Ribal
doaj +1 more source
Significant Wave Height Estimation Using Multi-Satellite Observations from GNSS-R
Remote Sensing, 2021 This study proposes a significant wave height (SWH) retrieval method based on multi-satellite observations using Global Navigation Satellite System Reflectometry (GNSS-R).
Lingyu Qin, Ying Li
doaj +1 more source
ConvLSTM-Based Wave Forecasts in the South and East China Seas
Frontiers in Marine Science, 2021 Numerical wave models have been developed for the wave forecast in last two decades; however, it faces challenges in terms of the requirement of large computing resources and improvement of accuracy.
Shuyi Zhou +7 more
doaj +1 more source
The Wide Swath Significant Wave Height: An Innovative Reconstruction of Significant Wave Heights From CFOSAT’s SWIM and Scatterometer Using Deep Learning [PDF]
Geophysical 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
Energy 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