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Exact matches for:

1. Gottwald GA, Reich S
Georg A. Gottwald and Sebastian Reich: Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations, Chaos, 31 (2021), 101103.


2. Gottwald GA, Reich S
Georg A. Gottwald and Sebastian Reich: Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation, Physica D, 423 (2021), 132911.


3. Gottwald GA, Mitchell L, Reich S
G.A. Gottwald, L. Mitchell and S. Reich: Controlling overestimation of error covariance in ensemble Kalman filters with sparse observations: A variance limiting Kalman filter, Monthly Weather Review, 139 (2011), 2650–2667.


4. Bergemann K, Gottwald GA, Reich S
K. Bergemann, G.A.G. Gottwald and S. Reich: Ensemble propagation and continuous matrix factorization algorithms, The Quarterly Journal of the Royal Meteorological Society, 135 (2009), no. 643, 1560 – 1572.


5. Frank J, Gottwald GA, Reich S
J. Frank, G.A. Gottwald and S. Reich: A Hamiltonian particle-mesh method for the rotating shallow-water equations, Lecture Notes in Computational Science and Engineering, International Workshop Meshfree Methods for Partial Differential Equations, Griebel, Michael and Schweitzer, Marc A (eds.), 26, Springer, New York, (2002), 131–142. ISBN 3-540-43891-2.


Number of matches: 5