NDLI: Ocean Wave Prediction Using Large-Scale Phase-Resolved Computations

Content Provider	IEEE Xplore Digital Library
Author	Wenting Xiao Yuming Liu Yue, D.K.P.
Copyright Year	2009
Abstract	A direct phase-resolved simulation tool for large-scale nonlinear ocean wavefield evolution, which is named SNOW, has been developed. Unlike the phase-averaged model, it solves the primitive Euler equation and preserves the phases of the wavefield during its nonlinear evolution. Therefore, the detailed descriptions of the free surface and the kinematics of the wavefield are obtained. To provide realistic and representative wavefields for ship motion analyses, we have computed an ensemble of three-dimensional (3D) wavefields (of typical domain size of O(103~4) km2) based on initial JONSWAP spectra. The statistical properties of the synthetic wavefields are computed and compared with theory and experimental measurements to study long-time sea spectrum evolution. SNOW simulations have been used to identify and characterize the occurrence statistics and dynamical properties of extreme wave events. We confirm that linear theory significantly under predicts the probability of large rogue wave events, especially for sea states with narrow spectra bandwidth and narrow directional spreading angle. A new phase-resolved wave prediction capability, with the incorporation of multiple hybrid (satellite/radar/lidar/wave-probe) sensed wave data as initial input, for deterministic short time O(Tp) prediction of ocean waves in deep water close to real time in a region with relatively small scale (~O(1) km×O(1) km) for a single ship handling is also developed. The validity and efficacy of SNOW in reliably predicting nonlinear ocean wavefield evolution is demonstrated and verified.
Starting Page	278
Ending Page	284
File Size	943014
Page Count	7
File Format	PDF
ISBN	9781424457687
e-ISBN	9781424457694
DOI	10.1109/HPCMP-UGC.2009.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sea surface Surface waves Snow Computational modeling Radar Predictive models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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