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10.1080/16000870.2018.1445364
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State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems
Sanita Vetra-Carvalho
Peter Jan van Leeuwen
Lars Nerger
Alexander Barth
M. Umer Altaf
Pierre Brasseur
Paul Kirchgessner
Jean-Marie Beckers
ensemble Kalman filter
particle filter
data assimilation
high dimension
non Gaussian
Tellus A: Dynamic Meteorology and Oceanography, 2018. doi:10.1080/16000870.2018.1445364
Taylor & Francis
Journal
Tellus A: Dynamic Meteorology and Oceanography
© 2018 Informa UK Limited, trading as Taylor & Francis Group
1600-0870
1
38
10.1080/16000870.2018.1445364
https://doi.org/10.1080/16000870.2018.1445364
VoR
2018-03-20T14:21:23+05:30
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2018-03-22T11:19:00-07:00
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2018-03-21truewww.tandfonline.com10.1080/16000870.2018.1445364www.tandfonline.comtrue2018-03-2110.1080/16000870.2018.1445364
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