Advertisement

A Depth-Dependent Wave Model for Operational Forecasting

  • Brian W. Golding

Abstract

The wave forecast system at present under development for routine wave forecasting in the United Kingdom Meteorological Office is designed to give detailed forecasts for the continental shelf areas around the UK up to 36 hours ahead using wind forecasts interpolated from the fine mesh (100 Km gridlength) version of the Met Office’s 10-level numerical atmospheric model (Burridge and Gadd 1977). A spectral representation of the wave field is used and the forecast equation is a version of the energy transport equation. Boundary conditions are supplied from a coarse mesh version of the model which is already in routine use for forecasts up to 48 hours over the North Atlantic and North Pacific Oceans.

Keywords

Wave Height Storm Surge Significant Wave Height Bottom Topography Bottom Friction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Burridge D M and Gadd A J 1977 The Meteorological Office Operational 10-level Numerical Weather Prediction Model (December 1975) Meteorological Office, Scientific Paper No. 34 H.M.S.O. London.Google Scholar
  2. Findlater J Harrower T N S Howkins G A and Wright H L 1966 1966 Surface and 900 mb Wind Relationships. Meteorological Office, Scientific Paper No. 23, H.M.S.O. London.Google Scholar
  3. Phillips 0 M 1958 The Equilibrium Range in the Spectrum of Wind-Generated Waves. Journal of Fluid Mechanics 4 p 426MathSciNetADSMATHCrossRefGoogle Scholar
  4. Pierson W J and Moskowitz L 1964 A Proposed Spectral Form for Fully Developed Wind Seas Based on the Similarity Theory of S A Kitaigorodskii. Journal of Geophysical Research 69 p 5l8lADSCrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1978

Authors and Affiliations

  • Brian W. Golding
    • 1
  1. 1.Meteorological OfficeBerkshireEngland

Personalised recommendations