The purpose of this Chapter is to present some algorithms for generating ensemble members, and model and measurement perturbations. There is a number of simulation methods available for generation of random realizations with different kinds of statistical properties, and we refer to the text books by Lantuéjoul (2002) and Chilés (1999) for further information. It is also shown that by selecting the initial ensemble, the model noise and the measurement perturbations wisely, it is possible to achieve a significant improvement in the EnKF results, without increasing the size of the ensemble.
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© 2009 Springer-Verlag Berlin Heidelberg
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Evensen, G. (2009). Sampling strategies for the EnKF. In: Data Assimilation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03711-5_11
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DOI: https://doi.org/10.1007/978-3-642-03711-5_11
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