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  1. Courses
  2. 2017 SIAM Annual Meeting
  3. Data Assimilation and Nonli...

Data Assimilation and Nonlinear Filtering - Part I of II

AN17 - MS21-1: What the Collapse of the Ensemble Kalman Filter Tells Us About Particle Filters

Presentation: Matthias Morzfeld, University of Arizona, USA, 20 min 36 sec

AN17 - MS21-1: What the Collapse of the Ensemble Kalman Filter Tells Us About Particle Filters

Document: AN17 - MS21-1: What the Collapse of the Ensemble Kalman Filter Tells Us About Particle Filters(PDF)

AN17 - MS21-2: A Coherent Structure Approach for Parameter Estimation in Data Assimilation

Presentation: John Maclean, University of North Carolina, Chapel Hill, USA , 27 min 56 sec

AN17 - MS21-2: A Coherent Structure Approach for Parameter Estimation in Data Assimilation

Document: AN17 - MS21-2: A Coherent Structure Approach for Parameter Estimation in Data Assimilation(PDF)

AN17 - MS21-3: Clustered Particle Filtering for High-Dimensional Non-Gaussian Systems

Presentation: Yoonsang Lee, Courant Institute of Mathematical Sciences, New York University, USA, 22 min 51 sec

AN17 - MS21-3: Clustered Particle Filtering for High-Dimensional Non-Gaussian Systems

Document: AN17 - MS21-3: Clustered Particle Filtering for High-Dimensional Non-Gaussian Systems(PDF)
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