Physical and Interdisciplinary Regional Ocean Dynamics and Modeling Systems

Abstract

This research is concerned with the fundamental understanding and modeling of complex physical, acoustical and biogeochemical oceanic dynamics and processes. New mathematical models and computational methods are created, developed and utilized for i) ocean predictions and dynamical diagnostics, ii) data assimilation and data-model comparisons, and, iii) optimization and control of autonomous ocean observation systems. General objectives are to: i) Analyze and study regional physical and acoustical-physical-biogeochemical dynamics ii) Incubate and develop new numerical modeling systems, including next generation ocean physics, 3D acoustics and Lagrangian coherent structures predictions iii) Update existing and create new nonlinear and adaptive assimilation schemes and systems, including parameter estimation iv) Evolve concepts and determine methodologies for regional adaptive modeling and adaptive sampling with the intent to increase predictive capabilities v) Quantify regional predictabilities and improve probability and uncertainty modeling vi) Utilize several ocean models, estimate their uncertainty statistics and fuse their estimates.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA527059

Entities

People

  • Pierre F. J. Lermusiaux

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Underwater Vehicles
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Dynamics
  • Engineering
  • Equations
  • Fluid Flow
  • Mathematical Filters
  • Mathematical Models
  • Measurement
  • Navier Stokes Equations
  • Partial Differential Equations
  • Physics
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Business Analytics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers