DMCA
Sequential Data Assimilation Techniques in Oceanography (2003)
by
Laurent Bertino
,
Geir EVENSEN
,
Hans Wackernagel
| Citations: | 19 - 3 self |
BibTeX
@MISC{Bertino03sequentialdata,
author = {Laurent Bertino and Geir EVENSEN and Hans Wackernagel},
title = {Sequential Data Assimilation Techniques in Oceanography},
year = {2003}
}
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Abstract
this article, we will focus on sequential DA methods that constitute the second class. These methods use a probabilistic framework and give estimates of the whole system state sequentially by propagating information only forward in time. This avoids deriving an inverse or an adjoint model and therefore makes sequential methods easier to adapt for all models. Further, the probabilistic framework is more convenient for error estimation and further stochastic analysis such as threshold characterization
