Developing a Relocatable Coastal Ocean Forecast Model

Abstract

The need for accurate prediction of the coastal ocean environment conceivably extends to the entire world's coastline. Since not all regions are of sufficient economic and sociological importance to justify operational modeling on a continuous basis, it is necessary to have available an alternative approach for short term on demand forecasting. Such prediction may be in response to a man made catastrophe or natural disaster. It may also be useful for coastal management in both developing and developed countries. Developing a coastal ocean forecast system is a complex effort that entails data processing as well as numerical modeling. In order to evaluate the coastal hydrodynamic model, which is the kernel of the forecast system, it is necessary to acquire a wide range of oceanographic data in different environments. Comparing model predictions to such field observations will permit the determination of the usefulness of the model tor real time applications. This paper summarizes some of the data processing methods being incorporated into a prototype relocatable forecast system. As an example of the utility of the model, it is compared to observations of temperature from the inner continental shelf of southern California.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1999
Accession Number
ADA364353

Entities

People

  • Sylvia Murphy
  • Timothy Keen

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Birds
  • California
  • Continental Shelves
  • Data Processing
  • Environment
  • Graphical User Interface
  • Grids
  • Military Research
  • Observation
  • Ocean Currents
  • Oceanography
  • Oceans
  • Remote Sensing
  • Simulations
  • Three Dimensional
  • Underwater Acoustics
  • Wind Stress

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Oceanography.
  • Strategic Security Studies