The ensemble Kalman filter (EnKF) and its many variants have been proven effective for data assimilation in large models, including those in atmospheric, oceanic, hydrologic, and petroleum reservoir systems. By bringing together technical experts, practitioners, researchers and students for presentations and informal interchange of information, we aim to share research results and suggest important challenges that have yet to be addressed.
Program
Download the workshop program here.
Venue
- Location: Solstrand Hotel & Bad, Os
- Dates: June 18-20, 2012
Registration Fee
9,000 NOK (with hotel) - Includes conference, three lunches, two dinners, and two nights at hotel. 6,000 NOK (without hotel) - Includes conference, three lunches, and two dinners.
Invited Speakers
|
Henning Omre
NTNU, Norway |
Uncertainty Quantification in the Ensemble Kalman Filter |
|
Marc Bocquet
Université Paris-Est, France |
Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems |
|
Craig Bishop
Naval Research Laboratory, USA |
The ETKF-3DVAR hybrid |
|
Sebastian Reich
Universität Potsdam, Germany |
A dynamical systems framework for ensemble-based data assimilation |
