Results 1 to 10 of about 111,141 (260)
Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
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
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Advance in Significant Wave Height Prediction: A Comprehensive Survey
The significant wave height prediction holds critical value for marine energy development, coastal infrastructure planning, and ensuring safety in maritime operations. The precision of such predictions carries substantial theoretical and practical weight.
Jinyuan Mo +3 more
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Estimation of Significant Wave Height Using Wave-Radar Images
Characteristics 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
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Validation of the Significant Wave Height Product of HY-2 Altimeter [PDF]
HY-2 was launched by China on August 2011, which has provided continuous wave height measurements to monitor ocean dynamic environments for more than 5 years. Before using these data, however, the measurements need to be validated.
Chuntao Chen +5 more
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Gaofen-3 (GF-3), the first Chinese civil C-band synthetic aperture radar (SAR), was successfully launched by the China Academy of Space Technology on 10 August 2016.
He Wang +6 more
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Machine learning approach to predict significant wave height
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
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New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting
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
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Significant Wave Height Estimation Using Multi-Satellite Observations from GNSS-R
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
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ConvLSTM-Based Wave Forecasts in the South and East China Seas
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
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