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.
EnKF Workshop 2022 is arranged by NORCE Energy & Technology in collaboration with the Nansen Center (NERSC) and Equinor.
Call for abstract: Deadline Februrary 15, 2022
- TBC, Equinor.
- Femke Vossepoel, TUDelft, The Netherlands.
- Matthew Levine, Caltech, USA.
- Yue (Michael) Ying, NERSC, Norway
- Yuqing Chang, NORCE, Norway.