||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. Read more here.
The 10th International EnKF workshop is arranged by IRIS in collaboration with the Nansen Center (NERSC) and the Uni Research CIPR (CIPR) and Statoil.
Jeffrey Anderson; Computational and Information Systems Laboratory, Data Assimilation Research Section, UCAR, Boulder, USA; "Automated Design of Localization for Ensemble Kalman Filters"
Christopher K. Jones; Mathematics Department University of North Carolina (UNC) at Chapell Hill and MCRN, USA: "A Hybrid Approach to Parameter Estimation"
Dick Dee; Reanalysis Section, European Centre for Medium Range Weather Forecasts (ECMWF) "Coupled data assimilation for climate reanalysis"
Ibrahim Hoteit; Physical Sciences and Engineering Division (PSE), King Abdullah University of Science and Technology (KAUST), Saudi Arabia; "Gaussian Mixture Filtering High Dimensional Systems"
Benoit Massart & Torbjørn Ek; Research Department in Statoil, Bergen, "Adaptive Plurigaussian Simulations or How to simulate facies realizations for three different real field cases"
June 9: Alberto Carrassi (NERSC and MCRN), Marc Bocquet (CEREA joint laboratory Ecole des Ponts ParisTech and EdF R&D, Université Paris-Est, France) and Alexis Hannart (IFAECI, CNRS/CONICET/UBA, Buenos Aires, Argentina); “Data assimilation for computing model evidence: The problem of detection and attribution of climate-related events”
June 9: Patrick Raanes (NERSC and MCRN), Alberto Carrassi (NERSC and MCRN), Laurent Bertino (NERSC); “Extending the square root method to account for model noise in the ensemble Kalman filter”