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Data Assimilation in Marine Models

Technical University of Denmark (DTU)
Publication Date
  • This Thesis Consists Of Six Research Papers Published Or Submitted For Publication In The Period 200
  • The Main Topics Of This Thesis Are Nonlinear Data Assimilation Techniques And Estimation In Dynamica
  • The Focus Has Been On The Nonlinear Filtering Techniques For Large Scale Geophysical Numerical Model
  • The Filtering Techniques Investigated Are All Monte Carlo Simulation Based
  • Some Very Nice Features That Can Be Exploited In The Monte Carlo Based Data Assimilation Framework F
  • E
  • G
  • Low Storage Cost
  • No Linearizations Of The Numerical Models
  • Etc
  • However
  • This Also Gives Rise To Many Unforeseen Difficulties
  • E
  • G
  • The Curse Of Dimensionality
  • Huge Computational Costs
  • Etc
  • The Challenge Faced In This Thesis Was Finding Filters That Could Handle The Nonlinearities Encounte
  • These Problems Were Addressed In The Papers A
  • E And D
  • The Other Topic Of This Thesis Is Estimation In Dynamical Geophysical Numerical Models
  • The Challenge Of Estimating Model Parameters For Well Establish Geophysical Dynamical Systems Is Tha
  • The Maximum Likelihood Approach Is Selected Due To Its Unique Performance In Data Rich Situations
  • The Estimations Are Often Based On Output From The Model And The Raw Observations Which Lead To Subo
  • The Challenge Is To Give A Meaningful Description Of The Model Errors Through Diffusion Processes Th
  • These Issues Are Discussed In Paper B
  • The Third Part Of The Thesis Falls A Bit Out Of The Above Context Is Work Published In Papers C
  • F
  • In The First Paper
  • A Simple Data Assimilation Scheme Was Investigated To Examine The Potential Benefits Of Incorporatin
  • This Paper Deals With The Results And Conclusions Obtained Through Some Of The First Experiments Wit
  • The Second Paper F
  • Deals With The Construction Of A Finite Element Solver For The Fokker-Planck Equation On A 2 Dimensi
  • The Report Details The Construction Of The Finite Element Solver And Investigates The Potential Bene


Data Assimilation in Marine Models - DTU Orbit (19/03/14) Data Assimilation in Marine Models. / Frydendall, Jan; Madsen, Henrik (Supervisor); Sørensen, Jacob Viborg Tornfeldt (Supervisor). Kgs. Lyngby, Denmark : Technical University of Denmark (DTU), 2009. (IMM-PHD-2009-217). Publication: Research › Ph.D. thesis – Annual report year: 2009

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