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: Brakanes Hotel, Ulvik
  • Dates: JUNE 20-22, 2016

Registration Fee

9,950 NOK - Includes bus transport Bergen-Ulvik roundtrip, conference, three lunches, two dinners, two nights at hotel, and guided tour at Lekve Farm.

Invited Speakers

Arnold Heemink
TU Delft, Netherlands 		Ensemble methods for variational data assimilation
Alexander Barth
University of Liège, Belgium 		Local ensemble assimilation scheme with global constraints and conservation
Raul Tempone
KAUST, Saudi Arabia 		A short overview of Multilevel Monte Carlo methods with applications in Ensemble Kalman Filtering
Marc Bocquet
Université Paris-Est, France 		On the convergence of (ensemble) Kalman filters and smoothers onto the unstable subspace