Designing Optimal Sampling Networks, Fixed and Adaptive for Ocean Forecast Modeling

Abstract

LONG TERM GOAL. The overall long term goal is to develop innovative, practical and efficient methodologies for the design of fixed and adaptive oceanic platforms, eulerian and lagrangian, such as fixed moorings, profiling moorings, gliders, drifters, AUVs. OBJECTIVES. The main objective is to develop this methodology for the Gulf of Maine/Georges Bank (GM/GB) region where an integrated model system has been developed at the University of Massachusetts at Dartmouth centered around the Finite- Volume Coastal Ocean circulation Model (FVCOM). APPROACH. The technical approach will be to test the available data assimilation packages, i.e. Reduced Rank Kalman Filter (RRKF); Ensemble Kalman Filter (EnKF); Ensemble Square Root Kalman Filter (EnSRF) and the Ensemble Transform Kalman Filter (ETKF) in the idealized test-cases outlined in the report. Successively, the filters will be adapted to FVCOM in the GM/GB configuration for coastal circulation prediction and adaptive sampling studies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA605552

Entities

People

  • Paola Rizzoli

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Collecting Methods
  • Filters
  • Information Operations
  • Kalman Filters
  • Massachusetts
  • Numbers
  • Ocean Currents
  • Oceans
  • Sampling
  • Square Roots
  • Standards

Readers

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

Technology Areas

  • Autonomy