Synoptic and short-term modeling of ocean waves

The problem of wave climate description and modeling are considered on both a short-term and synoptic basis. The wave climate is considered as an ensemble of conditions of spatio-temporal wave fields characterized by frequency-directional spectra. Using an expanded set of wave and wind characteristics makes it possible to correctly introduce the concept of a wave weather “scenario” and to use it to evaluate vessel safety. The mathematical basis of the short-term wave description is by the representation of the stochastic processes by a generalized autoregressive model (ARM) and related models of periodically correlated random process. An ARM is used to generate space-time realizations of the wave surface of any short-term duration. Application of the aforesaid model takes into account the true stochastic process (lack of repetition in quasi-steady implementation of the process inherent in other models of wind waves). Ways of treating synoptic and seasonal variability of wave forecasts for a specific geographic region are also described. Here, for the first time using the general positions of stationary wave processes and non-stationary synoptic processes of average wave height variation are combined. In this case mathematical models of the same type are nested.

• Record URL:
  https://doi.org/10.3233/ISP-130091
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0020868X
• Supplemental Notes:
  • ©2012 IOS Press and the authors. All rights reserved.
• Authors:
  • Degtyarev, Alexander B
  • Reed, Arthur M
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 523-553
• Serial:
  • International Shipbuilding Progress
  • Volume: 60
  • Issue Number: 1-4
  • Publisher: IOS Press
  • ISSN: 0020-868X
  • Serial URL: http://www.iospress.nl/journal/international-shipbuilding-progress/

Subject/Index Terms

• TRT Terms: Climatology; Hydrodynamics; Mathematical models; Ocean waves; Stochastic processes; Wind waves
• Subject Areas: Hydraulics and Hydrology; Marine Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01487823
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 23 2013 11:40AM