Interdisciplinary Modeling and Dynamics of Archipelago Straits

Abstract

The general focus of this work is to explore, better understand, model and predict the interactive dynamics and variability of sub-mesoscale and mesoscale features and processes in the Philippine Straits region and their impacts on local ecosystems through i. physical-biogeochemical-acoustical data assimilation of novel multidisciplinary observations ii. adaptive, multi-scale physical and biogeochemical modeling iii. process, sensitivity studies based on a hierarchy of simplified simulations and focused modeling. The specific objectives are to: - utilize and develop the Error Subspace Statistical Estimation (ESSE) system for interdisciplinary data assimilation and uncertainty estimation with the physical Primitive-Equation (PE) and generalized biogeochemical model of the Multidisciplinary Simulation, Estimation, and Assimilation Systems (MSEAS) group - study, describe and model the variability and dynamics of flow separations and associated eddies and filaments, of water mass evolutions and pathways, and of locally trapped waves - develop and implement schemes for parameter estimation and selection of model structures and parameterizations, and for high-resolution nested domains towards non-hydrostatic modeling

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA534097

Entities

People

  • Pierre F. J. Lermusiaux

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Archipelagoes
  • Assimilation
  • Biology
  • Data Analysis
  • Dynamics
  • Islands
  • Landforms
  • Mechanical Engineering
  • Oceans
  • Physics
  • Sensitivity
  • Simulations
  • Statistical Estimation
  • Steady State
  • Three Dimensional
  • Topography
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

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