User's Manual for the Navy Coupled Ocean Data Assimilation 3D Variational Analysis (NCODA 3DVar) System, Version 3.0

Abstract

Ocean data assimilation is a mathematically rigorous process that merges ocean observations with ocean models to extract the most pertinent information from often sparse and incomplete observations of time-varying ocean circulation. A data assimilation system has three parts: an observation data set, a dynamical model, and an assimilation, or melding, scheme. The melding of dynamics and data is a powerful tool for producing efficient, accurate and realistic estimations which might not otherwise be feasible. Its primary functions are to initialize ocean models using all available observations through sequential forecasting methods and to marry observations with ocean models to obtain dynamically consistent estimates of changing ocean state.

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Document Details

Document Type
Technical Report
Publication Date
Oct 18, 2010
Accession Number
AD1134364

Entities

People

  • James A. Cummings
  • Peter Spence
  • Scott Smith
  • Suzanne N. Carroll

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Climate
  • Computer Programs
  • Computers
  • Databases
  • Grids
  • Latitude
  • Longitude
  • Meteorological Satellites
  • Military Research
  • Models
  • Multivariate Analysis
  • Oceans
  • Operating Systems
  • Sea Ice
  • Statistics
  • Temperature Gradients
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers