A Comparison Of Output From The Los Alamos National Laboratory (LANL) Parallel Ocean Program (POP) Model With Surface Velocity Data From Drifting Buoys in the North Atlantic Ocean

Abstract

Surface velocity fields from two configurations of the Los Alamos National Laboratory (LANL) Parallel Ocean Program (POP) model are compared to surface velocity data from satellite-tracked buoys in the North Atlantic. Separate analyses are conducted for each model configuration. In the first analysis, output from a 1/6-degree, 20-level model version is compared with five years (1993-1997) of drifter data, based on both Eulerian and Lagrangian statistics. In the second analysis, newly-available output from a 1/10-degree, 40 level version is compared to a two-year subset (1993-1994) of the data, and to 1/6-degree output over the same time frame. The latter comparison is based on Eulerian statistics alone. The five-year comparison shows that the 1/6-degree model produces inaccuracies in some features, and generally underestimates velocity variance. Modeled Lagrangian time scales are too long, while the length scales are too short. The two-year comparison shows that at the higher vertical and horizontal resolution of the 1/10-degree model, there is a striking improvement in the spatial distribution of energy and resolution of the variance field.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA375844

Entities

People

  • Jimmy W. Pelton

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Atlantic Ocean
  • Climate Change
  • Computational Science
  • Data Science
  • Databases
  • Geography
  • Grids
  • Information Science
  • Measurement
  • Military Research
  • North Atlantic Ocean
  • Oceanography
  • Ridges
  • Sea Water
  • Spatial Distribution
  • Topography
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Oceanography.

Technology Areas

  • Space