Workshop on Data Assimilation: Methodology and Applications

May 15-17, 2019

Program

 

Wednesday, May 15, 2019

08:30 - 09:00
Registration (5345) and Coffee & Croissants


09:00 - 09:40
Geir Evensen
(Nansen Environmental and Remote Sensing Center)
Formulation of iterative ensemble smoothers
09:45 - 10:25
Chris Snyder
(National Center for Atmospheric Research)
An optimal linear transformation for data assimilation
10:30 - 11:00
Coffee break
11:00 - 11:40
Wilhelm Huisinga
(University of Potsdam)
Bayesian data assimilation to support informed decision-making in individualised chemotherapy
11:45 - 12:25
Paola Goatin
(INRIA Sophia Antipolis - Méditerranée)
Data-driven traffic flow models
12:30 - 14:30
Lunch break
14:30 - 15:10
Dean S. Oliver
(Uni CIPR (Centre for Integrated Petroleum Research) )
Iterative ensemble smoothers for large-scale subsurface inverse problems
15:15 - 15:55
Di Qi
(Courant Institute of Mathematical Sciences NYU)
Rigorous statistical bounds in uncertainty quantification for turbulent geophysical flows
16:00 - 16:30
Coffee break
16:30 - 17:10
Jana de Wiljes
(Universität Potsdam)
Computational advances in simultaneous state and parameter estimation
17:15 - 17:55
Chris Jones
(University of North Carolina at Chapel Hill)
Data assimilation with models based on adaptive meshes

 

Thursday, May 16, 2019

08:30 - 09:00
Coffee & Croissants


09:00 - 09:40
Wolfgang Dahmen
(University of South Carolina)
Reduced modeling for state and parameter estimation
09:45 - 10:25
Claudia Schillings
(University of Mannheim)
On the analysis of the ensemble Kalman filter for inverse problems and the incorporation of constraints
10:30 - 11:00
Coffee break
11:00 - 11:40
Christian Claudel
(The University at Texas at Austin)
Data assimilation and optimal control in the context of UAV-based flash flood monitoring
11:45 - 12:25
Peter Houtekamer
(Environment and Climate Change Canada)
Dealing with system error in ensemble Kalman filter systems
12:30 - 14:30
Lunch break
14:30 - 15:10
Dave Albers
(Columbia University)
Using data assimilation in biomedical, physiological, and clinical settings
15:15 - 15:55
Marie-Therese Wolfram
(University of Warwick)
Inverse optimal transport
16:00 - 17:00
Coffee break

Session - Distinguished Lecture
Meeting room(s) : 1140

17:15 - 18:15
Andrew J. Majda
(Courant Institute of Mathematical Sciences NYU)
Particle filters and finite ensemble Kalman filters in large dimensions: Theory, applied practice, and new phenomena
Abstract

18:15
Poster Session and Reception

 

Friday, May 17, 2019

08:30 - 09:00
Coffee & Croissants


09:00 - 09:40
Svetlana Dubinkina
(Centrum Wiskunde & Informatica)
Shadowing approach to data assimilation
09:45 - 10:25
Darren Wilkinson
(Newcastle University)
Scalable algorithms for Markov process state and parameter inference
10:30 - 11:00
Coffee break
11:00 - 11:40
Matthias Morzfeld
(University of Arizona)
Gaussian approximations in filters and smoothers for data assimilation
11:45 - 12:25
Wilhelm Stannat
(Technische Universität Berlin)
Analysis of the Ensemble Kalman (-Bucy) filter: continuum limits, stability and accuracy
12:30 - 14:30
Lunch break
14:30 - 15:10
Richard Ménard
(Environment and Climate Change Canada)
The geometry of cross-validation: Its application to atmospheric constituent analysis and data assimilation
15:15 - 15:55
Aretha L. Teckentrup
(University of Edinburgh)
Deep Gaussian processes and applications in Bayesian inverse problems

15:55 - 16:25
Coffee