Atelier sur l'assimilation de données: méthodologie et applications15 au 17 mai 2019Programme |
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Le mercredi 15 mai 2019 |
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08:30 - 09:00
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Inscription (5345) et café-croissants
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09:00 - 09:40
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Geir Evensen
(Nansen Environmental and Remote Sensing Center) Formulation of iterative ensemble smoothers |
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09:45 - 10:25
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Chris Snyder
(National Center for Atmospheric Research) An optimal linear transformation for data assimilation |
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10:30 - 11:00
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Pause-café
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11:00 - 11:40
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Wilhelm Huisinga
(University of Potsdam) Bayesian data assimilation to support informed decision-making in individualised chemotherapy |
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11:45 - 12:25
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Paola Goatin
(INRIA Sophia Antipolis - Méditerranée) Data-driven traffic flow models |
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12:30 - 14:30
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Pause-déjeuner
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14:30 - 15:10
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Dean S. Oliver
(Uni CIPR (Centre for Integrated Petroleum Research) ) Iterative ensemble smoothers for large-scale subsurface inverse problems |
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15:15 - 15:55
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Di Qi
(Courant Institute of Mathematical Sciences NYU) Rigorous statistical bounds in uncertainty quantification for turbulent geophysical flows |
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16:00 - 16:30
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Pause-café
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16:30 - 17:10
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Jana de Wiljes
(Universität Potsdam) Computational advances in simultaneous state and parameter estimation |
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17:15 - 17:55
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Chris Jones
(University of North Carolina at Chapel Hill) Data assimilation with models based on adaptive meshes |
Le jeudi 16 mai 2019 |
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08:30 - 09:00
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Café croissants
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09:00 - 09:40
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Wolfgang Dahmen
(University of South Carolina) Reduced modeling for state and parameter estimation |
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09:45 - 10:25
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Claudia Schillings
(University of Mannheim) On the analysis of the ensemble Kalman filter for inverse problems and the incorporation of constraints |
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10:30 - 11:00
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Pause-café
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11:00 - 11:40
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Christian Claudel
(The University at Texas at Austin) Data assimilation and optimal control in the context of UAV-based flash flood monitoring |
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11:45 - 12:25
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Peter Houtekamer
(Environment and Climate Change Canada) Dealing with system error in ensemble Kalman filter systems |
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12:30 - 14:30
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Pause-déjeuner
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14:30 - 15:10
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Dave Albers
(Columbia University) Using data assimilation in biomedical, physiological, and clinical settings |
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15:15 - 15:55
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Marie-Therese Wolfram
(University of Warwick) Inverse optimal transport |
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16:00 - 17:00
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Pause-café
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Session - Conférence de prestige
Salle(s) de réunion : 1140 |
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17:15 - 18:15
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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 | Résumé |
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18:15
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Session d'affiches et réception
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Le vendredi 17 mai 2019 |
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08:30 - 09:00
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Café croissants
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09:00 - 09:40
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Svetlana Dubinkina
(Centrum Wiskunde & Informatica) Shadowing approach to data assimilation |
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09:45 - 10:25
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Darren Wilkinson
(Newcastle University) Scalable algorithms for Markov process state and parameter inference |
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10:30 - 11:00
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Pause-café
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11:00 - 11:40
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Matthias Morzfeld
(University of Arizona) Gaussian approximations in filters and smoothers for data assimilation |
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11:45 - 12:25
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Wilhelm Stannat
(Technische Universität Berlin) Analysis of the Ensemble Kalman (-Bucy) filter: continuum limits, stability and accuracy |
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12:30 - 14:30
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Pause-déjeuner
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14:30 - 15:10
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Richard Ménard
(Environment and Climate Change Canada) The geometry of cross-validation: Its application to atmospheric constituent analysis and data assimilation |
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15:15 - 15:55
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Aretha L. Teckentrup
(University of Edinburgh) Deep Gaussian processes and applications in Bayesian inverse problems |
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15:55 - 16:25
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Café
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Mise à jour: Le mardi 14 mai 2019 14:17