Eulerian and Lagrangian Predictability of Oceanic Flows

Abstract

LONG-TERM GOALS. Our long-term goals are to obtain a better understanding of the processes controlling the predictability of coastal and open-ocean flows and to develop tools that can more efficiently predict such flows. OBJECTIVES. Our work has a number of objectives: To determine the predictability time scales of the meandering of oceanic fronts, To determine the ways in which predictability in such a flow is lost, the physical processes responsible, and the sites of most rapid error growth, To develop simple, efficient data assimilation schemes that can be used to forecast the behavior of such fronts, To develop a method of determining the degree of optimality of a new observation with regards to improving a forecast, and the nature of the improvements that are possible, To design and test adaptive sampling strategies to guide efficient data sampling for improved forecasting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA636795

Entities

People

  • Amala Mahadevan
  • David Salstein
  • Steve Meacham

Organizations

  • Atmospheric and Environmental Research, Inc

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Boundaries
  • Computations
  • Covariance
  • Data Science
  • Delphi Method
  • Filters
  • Filtration
  • Information Operations
  • Kalman Filtering
  • Kalman Filters
  • Observation
  • Reynolds Number
  • Sampling
  • Standards
  • Time Dependence

Fields of Study

  • Environmental science

Readers

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