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: Fretheim Hotel, Flåm
- Dates: June 8-10, 2015
Registration Fee
9,950 NOK - Includes transport (boat and train) roundtrip Bergen-Flåm, conference, three lunches, two dinners, and two nights at hotel.
Invited Speakers
|
Jeffrey Anderson
NCAR, USA |
Automated Design of Localization for Ensemble Kalman Filters |
|
Christopher K. Jones
University of North Carolina, USA |
A Hybrid Approach to Parameter Estimation |
|
Dick Dee
ECMWF, UK |
Coupled data assimilation for climate reanalysis |
|
Ibrahim Hoteit
KAUST, Saudi Arabia |
Gaussian Mixture Filtering High Dimensional Systems |
Photos
