Assessing the Lagrangian Predictive Ability of Navy Ocean Models

Abstract

We are interested in understanding energetic processes at sub-mesoscales and mesoscales that drive ocean transport throughout the water column. Understanding and modeling these processes remains a significant challenge for oceanographers because their evolution is typically nonlinear and they are often driven by forcing mechanisms that can be both brief and episodic.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2010
Accession Number
ADA542611

Entities

People

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

Organizations

  • University of Delaware

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Artificial Satellites
  • Boundaries
  • East China Sea
  • Fluid Dynamics
  • Geographic Regions
  • Navy
  • North Pacific Ocean
  • Observation
  • Oceanography
  • Oceans
  • Pacific Ocean
  • Personal Information Managers
  • Regions
  • Satellite Imaging
  • Spatial Distribution
  • Trajectories

Fields of Study

  • Environmental science

Readers

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