Modeling of Ocean Waves: New Advances in Model Evaluation and Optimization
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".
Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 7360
Special Issue Editors
Interests: wave modeling; wave energy characterization; ocean circulation; wave-current interaction; ocean mixing and stratification; tropical storm–ocean interaction
Special Issues, Collections and Topics in MDPI journals
Interests: coastal morphodynamics; sediment transport modeling; wave and storm surge modeling; coastal resileance; climate adaptation
Special Issues, Collections and Topics in MDPI journals
Interests: wave dynamics and transport; hydro-sedimentological simulation; extreme events coastal impacts; tidal inlets; coastal adaptation strategies
Special Issue Information
Dear Colleagues,
Spectral wave models like SWAN, WAVEWATCHIII, WAM, and Mike21SW are powerful tools that are widely used for both wave hindcast and forecast. Although during the last several decades most theoretical and numerical bases for these models have been developed and successfully implemented through real-world simulations, still more evaluations and innovative techniques are needed to deliver more accurate simulation results from these models, especially for complex coastal settings. This may include developing and testing modern source terms, especially for wind input, whitecapping, and non-linear wave-wave interactions. Evaluating and using higher-accuracy wind fields, and using mathematical concepts like data assimilation (DA) or machine learning (ML), are also proven to be successful in increasing the accuracy of simulations or decreasing the computational costs. All the above signs of progress can eventually be used for more accurate and less costly wave simulations that can be used in diverse coastal engineering applications, storm impact modeling, met-ocean, and wave energy quantification studies for wave harnessing.
The aim of this Special Issue is to provide the wave modeling/oceanography community with the most recent progresses in this field based on novel research works from different parts of the world. Some specific topics of interest for this Special Issue include but are not limited to:
- Evaluation of the source terms in spectral wave models. Papers focusing on assessing the most recent physics package ST6 are of special interest.
- Assessing wind-field accuracy (CFSR, ERA5, NAR, etc.) in wave modeling in specific geographical regions.
- Application of data assimilation (DA) techniques to improve the accuracy of wave simulation.
- Application of machine learning/deep learning/artificial intelligence (ML/DL/AI) in wave hindcasting and forecasting based on spectral model outputs.
- One-way or two-way wave-current interaction, especially for tropical storms and hurricane modeling.
- Wave energy characterization.
Dr. Mohammad Nabi Allahdadi
Dr. Felix Jose
Dr. Saeed Shaeri
Guest Editors
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Keywords
- spectral wave model
- whitecapping
- wave-current interaction
- data assimilation
- machine learning
- SWAN
- WAVEWATCHIII
- Mike21SW
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