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: Panorama Hotel, Steinsland
- Dates: May 27-29, 2013
Registration Fee
9,000 NOK - Includes conference, three lunches, two dinners, two nights at hotel, and cultural arrangement (Sea Eagle safari).
Invited Speakers
|
Pavel Sakov
Bureau of Meteorology, Australia |
Ensemble redrawing in strongly nonlinear systems |
|
Geir Evensen
Statoil, Norway |
Fast Model Update: A workflow for big-loop model updating |
|
Eugenia Kalnay
University of Maryland, USA |
Recent Advances in Data Assimilation with Ensemble Kalman Filter |
|
Remus Hanea
Statoil, Norway |
|
|
Henrik Madsen
DHI Group, Denmark |
Towards a probabilistic hydrological forecasting and data assimilation system |
