Quantitative Use of Lagrangian Data in Numerical Models

Abstract

LONG-TERM GOALS. This research focuses on quantifying the important dynamical mechanisms which govern the evolution of submesoscale processes and their interactions with small and mesoscale motions. Two long-term products of this research will be dynamically consistent methods of parameterizing the submesoscale processes for regional scale models and inferring subsurface conditions from high resolution surface observations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA635230

Entities

People

  • A. D . Kirwan Jr.
  • B. L. Lipphardt Jr.

Organizations

  • Old Dominion University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bays
  • Black Sea
  • Blending
  • Environmental Assessment
  • Euler Equations
  • High Resolution
  • Layers
  • Models
  • Observation
  • Oceans
  • Personal Information Managers
  • Physical Oceanography
  • Predictive Modeling
  • Remote Sensing
  • Scale Models
  • Sparse Matrix
  • Universities

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML