Collaborative Proposal: Ocean Currents Forecasts Using Multi-model, Multi-scale Assimilation

Abstract

The primary objectives of this project are to: (i) build a suite of ocean models of the Philippine Sea (PS) of varying resolutions and dynamical representations; ii) perform twin experiments to examine how assimilation of full-spectra observations (including scales not resolved by the models) into simplified models impacts predictability; iii) generate covariance data from a suite of models to generate new Kalman gain matrix estimates; iv) use the Kalman estimate with the Green's function assimilation (as opposed to an adjoint) to compare different assimilation efforts; v) examine scaleselective error in the observations; vi) transition the results and methodology to NRL for further examination and possible inclusion into NRL operations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA598641

Entities

People

  • Bruce D. Cornuelle

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Assimilation
  • Bodies Of Water
  • Covariance
  • Data Science
  • Experimental Design
  • Information Operations
  • Information Science
  • Landforms
  • Observation
  • Ocean Currents
  • Oceanography
  • Oceans
  • Philippine Sea
  • Statistics
  • Teamwork

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