GAII.05 8 July 2003 Data Assimilation Methods Data Assimilation Methods for Characterizing for Characterizing Radiation Belt Dynamics Radiation Belt Dynamics E.J. Rigler 1 , D.N. Baker 1 , D. Vassiliadis 2 , R.S. Weigel 1 (1) Laboratory for Atmospheric and Space Physics University of Colorado at Boulder (2) Universities Space Research Association NASA / Goddard Space Flight Center
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Data Assimilation Methods for Characterizing Radiation Belt Dynamics
Data Assimilation Methods for Characterizing Radiation Belt Dynamics. E.J. Rigler 1 , D.N. Baker 1 , D. Vassiliadis 2 , R.S. Weigel 1 (1) Laboratory for Atmospheric and Space Physics University of Colorado at Boulder (2) Universities Space Research Association - PowerPoint PPT Presentation
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GAII.05 8 July 2003
Data Assimilation Methods Data Assimilation Methods for Characterizing for Characterizing
Radiation Belt DynamicsRadiation Belt Dynamics
E.J. Rigler1, D.N. Baker1, D. Vassiliadis2, R.S. Weigel1
(1) Laboratory for Atmospheric and Space PhysicsUniversity of Colorado at Boulder
(2) Universities Space Research AssociationNASA / Goddard Space Flight Center
GAII.05 8 July 2003
• Using Data Assimilation (DA) algorithms for identification of empirical dynamical systems
• Finite Impulse Response (FIR) linear prediction filters– Intuitive model structure– Robust and proven predictive capabilities
• Adaptive System Identification (RLS vs. EKF)– Weighted least squares estimates of model parameters
– Tracking non-linear systems with adaptive linear models
• Better Model Structures:– Multiple input, multiple output (MIMO) models– Dynamic feedback and noise models (ARMAX, Box-Jenkins)– Combining RB state with dynamical model parameters
Introduction and OutlineIntroduction and Outline
GAII.05 8 July 2003
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Dynamic Model IdentificationDynamic Model Identification
GAII.05 8 July 2003
SISO Impulse Response
Operational Forecasts(NOAA REFM)
Why Linear Prediction Filters?Why Linear Prediction Filters?
Days Since Solar Wind Impulse
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GAII.05 8 July 2003
Recursive System IdentificationRecursive System Identification