Merging Disparate Data and Numerical Model Results for Dynamically Constrained Nowcasts

Abstract

Our objective is to combine disparate surface current observations from sources like HF radar, Lagrangian drifters, passive remote sensing and ADCPs with open boundary flow information from any available source (numerical model, observations, climatology, etc.) to develop dynamically consistent nowcasts of the surface flow field. These nowcasts can then be analyzed using existing dynamical systems templates to study the mixing characteristics of the surface flow field. Also, because our formulation is exactly three-dimensionally incompressible, the nowcast can be used to infer some features of the subsurface flow field and may be readily assimilated into a numerical model.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 1999
Accession Number
ADA370538

Entities

People

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

Organizations

  • Old Dominion University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Black Sea
  • Blending
  • Boundaries
  • Environmental Assessment
  • Flow
  • Flow Fields
  • High Resolution
  • Lake Ontario
  • Military Research
  • Mixing
  • Models
  • Observation
  • Oceans
  • Remote Sensing
  • Stratified Fluids
  • Theses
  • Universities

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • AI & ML