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.

Data sets

SHYFEM set-up for model driven optimization of the tide gauge monitoring network in the Lagoon of Venice C. Ferrarin, M. Bajo, and G. Umgiesser https://doi.org/10.5281/zenodo.3770173

Model code and software

SHYFEM v. 7_5_65 G. Umgiesser https://doi.org/10.5281/zenodo.3757785

SHYFEM v. 7_5_65 with the data assimilation code version ens2.1 M. Bajo https://doi.org/10.5281/zenodo.3757843

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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.