
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
A real-time wave prediction in directional wave fields: Strategies for accurate continuous prediction in time

Previous research on real-time deterministic sea wave prediction has generally focused on evaluating the accuracy and efficiency of short-term wave fields within a specific prediction zone. However, for a real-time wave prediction system, it is necessary to provide a continuous description of the ocean wave surface based on short-term prediction segments. In this regard, we have developed algorithms for continuous wave prediction in directional wave fields based on the "practical" prediction zone. The practical prediction zone refers to the time interval available for generating a continuous wave forecast by excluding the reconstructed waves from the prediction zone proposed by Kim et al. (2023). We also introduce and discuss several important time factors, such as the update interval of the spatio-temporal wave dataset, the total computation time, and the length of the practical prediction zone. By gaining a deeper understanding of numerical modeling setups, we have established strategies to reduce computational costs, which are directly related to the accuracy of continuous wave prediction. In particular, the development of these strategies suggests guidance in specifying direction and frequency bandwidths for continuous wave prediction.
- French National Centre for Scientific Research France
- Université de Nantes France
- École Centrale de Nantes France
- Oregon State University United States
- UNIVERSITE PARIS DESCARTES France
[SPI]Engineering Sciences [physics], Directional wave, Data assimilation, Wave tank experiments, Ocean waves, Real-time prediction, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Phase-resolved model, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
[SPI]Engineering Sciences [physics], Directional wave, Data assimilation, Wave tank experiments, Ocean waves, Real-time prediction, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Phase-resolved model, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
