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: Scandic Bergen City, Bergen
- Dates: MAY 28-30, 2018
Registration Fee
Fee information not available. Accommodation at Scandic Bergen City available at NOK 1,590 per night.
Invited Speakers
|
Nancy Nichols
University of Reading, UK |
Diagnosis, conditioning and regularization of error covariance matrices in data assimilation |
|
Svetlana Dubinkina
Centrum Wiskunde & Informatica (CWI), Netherlands |
Relevance of conservation laws for an Ensemble Kalman Filter |
|
Harrie-Jan Hendricks-Franssen
Forschungszentrum Jülich, Germany |
Coupled data assimilation for the atmosphere-land surface-subsurface models |
|
Yan Chen
Total GRC, UK |
Uncertainty representation in reservoir history matching with ensemble methods |
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