Test and Evaluation of an Operationally Capable Synoptic Upper-Ocean Forecast System

Abstract

This paper was prepared for the Ocean Prediction Workshop held at the Naval Postgraduate School, 29 April through 2 May 1981. It describes the first generation of operationally capable synoptic upper-ocean forecast models implemented at Fleet Numerical Oceanography Center via the Thermodynamical Ocean Prediction System (TOPS), and discusses potential uses for their output products. Several examples of one-dimensional verification of the turbulence parameterization scheme currently used in TOPS are presented and discussed. In addition, formalism for large-scale synoptic verification of short-term ocean thermal predictions is developed and applied to a test and evaluation of TOPS that was carried out using operational data from the fall of 1980. Results from this 45-day testing period indicate that TOPS can routinely forecast large-scale sea surface temperature changes over periods of several days with a useful level of skill. This marks the practical beginning of operational synoptic ocean prediction.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA098908

Entities

People

  • Kenneth D. Pollak
  • Paul J. Martin
  • R. Michael Clancy
  • Steve A. Piacsek

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Confidence Limits
  • Correlation Techniques
  • Databases
  • Diffusion Coefficient
  • Information Science
  • Meteorology
  • Oceanography
  • Oceans
  • Pressure Gradients
  • Solar Radiation
  • Standards
  • Statistics
  • Test And Evaluation

Fields of Study

  • Environmental science

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers