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.

Viewed

Total article views: 797 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
591 167 39 797 41 45
  • HTML: 591
  • PDF: 167
  • XML: 39
  • Total: 797
  • BibTeX: 41
  • EndNote: 45
Views and downloads (calculated since 18 May 2020)
Cumulative views and downloads (calculated since 18 May 2020)

Viewed (geographical distribution)

Total article views: 614 (including HTML, PDF, and XML) Thereof 613 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Apr 2021
Download
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.