Biblio
Filtre: Forfatter er Evensen, Geir [Slett Alle Filtre]
Assimilation of ice concentration in a coupled ice ocean model, using the Ensemble Kalman filter. Ocean Dynamics 53, 368-388 (2003). Last ned: lis03a.pdf (1.48 MB)
A coupled ice - ocean data assimilation system for Arctic monitoring and prediction. Doctoral Thesis No. 72 (2007).
Assimilating synthetic CryoSat sea ice thickness in a coupled ice-ocean model. Journal of Geophysical Research (Oceans) 112, (2007). Last ned: lis07a.pdf (3.37 MB)
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study. SPE Norway One Day Seminar 2018 (2018).doi:10.2118/191305-MS
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study. SPE Reservoir Evaluation and Engineering (2018).doi:10.2118/191305-PA
Resumé de l´atelier international JGOFS/Modélisation. Modélisation des Cycles Biogéochimiques Marins, Paris, France 1-5 (1996).
Assimilation of ocean colour data into a biochemical model of the North Atlantic. Part 1. Data assimilation experiments. Journal of Marine Systems 127-153 (2003).
A Weak Constraint Inverse for a Zero Dimensional Marine Ecosystem Model. Journal of Marine Systems 28, 19-44 (2001).
A data assimilation system for a 3-dimensional biochemical model of the North Atlantic. Doctoral Thesis No. 39 (2001).
Assimilation of ocean colour data into a biochemical model of the North Atlantic. Part 2. Statistical analysis. journal of Marine Systems 155-169 (2003).
Assimilating SeaWiFS ocean color data into a three-dimensional marine ecosystem model: Application to the North Atlantic and the Nordic Seas. Backscatter - Ocean Color Spectrum 27 (2001).
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. Tellus A: Dynamic Meteorology and Oceanography 75, (2023).
Asynchronous data assimilation with the EnKF. Tellus A 62A, (2010). Abstract
Last ned: Asynchronous data assimilation with the EnKF.pdf (107.25 KB)
Learning from weather and climate science to prepare for a future pandemic. Proceedings of the National Academy of Sciences of the United States of America 120, (2023).
Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter. SPE/EAGE Reservoir Characterization and Simulation Conference (2010).
Using the EnKF for history matching and uncertainty quantification of complex reservoir models. Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty (2009).
Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter. SPE Journal 15, (2010). Last ned: Structural Surface Uncertainty Modeling and Updating Using the Ensemble Kalman Filter.pdf (1.32 MB)
Advanced reservoir management workflow using an EnKF based assisted history matching method. The 2009 SPE Reservoir Simulation Symposium, 65533 (2009). Abstract
