Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 645–659, 2021
https://doi.org/10.5194/gmd-14-645-2021
Geosci. Model Dev., 14, 645–659, 2021
https://doi.org/10.5194/gmd-14-645-2021

Development and technical paper 01 Feb 2021

Development and technical paper | 01 Feb 2021

Model-driven optimization of coastal sea observatories through data assimilation in a finite element hydrodynamic model (SHYFEM v. 7_5_65)

Christian Ferrarin et al.

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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christian Ferrarin on behalf of the Authors (30 Nov 2020)  Author's response    Manuscript
ED: Publish as is (15 Dec 2020) by David Ham
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Short summary
The problem of the optimization of ocean monitoring networks is tackled through the implementation of data assimilation techniques in a numerical model. The methodology has been applied to the tide gauge network in the Lagoon of Venice (Italy). The data assimilation methods allow identifying the minimum number of stations and their distribution that correctly represent the lagoon's dynamics. The methodology is easily exportable to other environments and can be extended to other variables.