The scheduling for individual talk is undergoing. If you have any questions please contact your session organizers directly.
Special Session 177: Innovations in Data Assimilation: Theory, Algorithms, and Application Organizer(s): Adam Larios , Jared Whitehead

Parallel Session 11 :: Thursday, 07/09, 16:30-19:00                                   Room 442                  
 16:30-17:00  Jared Whitehead (Brigham Young University, USA)
 System Identification via Optimization in Data Assimilation
 17:00-17:30  Marios Andreou (University of Wisconsin-Madison, USA)
 DASSH -- Diffusion-Accelerated Smoothing using Score-based Heuristics
 17:30-18:00  Julia Novo (Universidad Autonoma de Madrid, Spain)
 Error analysis of proper orthogonal decomposition data assimilation schemes for the Navier-Stokes equations with grad-div stabilization
 18:00-18:30  Jana de Wiljes (Ilmenau University of Technology, Germany)
 Challenges in Data Assimilation and Ideas for Addressing Them
 18:30-19:00  Andrew Stuart (Caltech, USA)
 Analysis of Data-Driven Smoothing and Forecasting
   Robin Armstrong (Cornell University, USA)
 Estimating High-Dimensional Covariance Matrices with Hierarchical Rank Structure

Parallel Session 12 :: Friday, 07/10, 8:00-10:00                                   Room 442                
 8:00-8:30  Adam Larios (University of Nebraska-Lincoln, USA)
 Data Assimilation in Turbulent Flows: Model Mismatch and Incomplete Dissipation
 8:30-9:00  Eviatar Bach (University of Reading, England)
 Learning probabilistic filters for data assimilation
 9:00-9:30  Daniel Sanz-Alonso (University of Chicago, USA)
 Continuous Data Assimilation with Learned Surrogate Dynamics
 9:30-10:00  Nicholas White (University of Nebraska-Lincoln, USA)
 Spectral Viscosity with Continuous Data Assimilation: Model Mismatch