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pro vyhledávání: '"Evensen, Geir"'
This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assim
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/54434
Autor:
Evensen, Geir1,2 (AUTHOR) geev@norceresearch.no, Vossepoel, Femke C.3 (AUTHOR), van Leeuwen, Peter Jan4 (AUTHOR)
Publikováno v:
Monthly Weather Review. Jun2024, Vol. 152 Issue 6, p1277-1301. 25p.
The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than the model state dimension. T
Externí odkaz:
http://arxiv.org/abs/2003.00354
Ensemble randomized maximum likelihood (EnRML) is an iterative (stochastic) ensemble smoother, used for large and nonlinear inverse problems, such as history matching and data assimilation. Its current formulation is overly complicated and has issues
Externí odkaz:
http://arxiv.org/abs/1901.06570
Autor:
Evensen, Geir
In the strong-constraint formulation of the history-matching problem, we assume that all the model errors relate to a selection of uncertain model input parameters. One does not account for additional model errors that could result from, e.g., exclud
Externí odkaz:
http://arxiv.org/abs/1806.00237
Autor:
Chang, Yuqing, Evensen, Geir
Publikováno v:
In Journal of Petroleum Science and Engineering October 2022 217
We commonly refer to state-estimation theory in geosciences as data assimilation. This term encompasses the entire sequence of operations that, starting from the observations of a system, and from additional statistical and dynamical information (suc
Externí odkaz:
http://arxiv.org/abs/1709.02798
Publikováno v:
International Statistical Review / Revue Internationale de Statistique, 2003 Aug 01. 71(2), 223-241.
Externí odkaz:
https://www.jstor.org/stable/1403885