Articles | Volume 24, issue 4
Nonlin. Processes Geophys., 24, 701–712, 2017
https://doi.org/10.5194/npg-24-701-2017
Nonlin. Processes Geophys., 24, 701–712, 2017
https://doi.org/10.5194/npg-24-701-2017

Research article 01 Dec 2017

Research article | 01 Dec 2017

The Onsager–Machlup functional for data assimilation

Nozomi Sugiura

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Latest update: 26 Jan 2021
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Short summary
The optimisation of simulation paths is sometimes misleading. We can find a path with the highest probability by the method of least squares. However, it is not necessarily the route where the paths are most concentrated. This paper clarifies how we can find the mode of a distribution of paths by optimisation.