Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6025-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6025-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Parallel implementation of the SHYFEM (System of HydrodYnamic Finite Element Modules) model
Giorgio Micaletto
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Ivano Barletta
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Department of Physics and Astronomy, University of Bologna, 40126 Bologna, Italy
Silvia Mocavero
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Ivan Federico
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Italo Epicoco
CORRESPONDING AUTHOR
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Department of Engineering for Innovation, University of Salento, via per Monteroni, 73100 Lecce, Italy
Giorgia Verri
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Giovanni Coppini
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Pasquale Schiano
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Giovanni Aloisio
Euro-Mediterranean Centre on Climate Change Foundation, via Augusto Imperatore 16, 73100 Lecce, Italy
Department of Engineering for Innovation, University of Salento, via per Monteroni, 73100 Lecce, Italy
Nadia Pinardi
Department of Physics and Astronomy, University of Bologna, 40126 Bologna, Italy
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12 citations as recorded by crossref.
- Coupling ocean currents and waves for seamless cross-scale modeling during Medicane Ianos S. Causio et al. https://doi.org/10.5194/os-21-1105-2025
- Model framework for storm surge forecasting in Venice Lagoon: what-if scenario with movable barriers M. Boetti et al. https://doi.org/10.3389/fmars.2026.1771571
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- A collective intelligence model for swarm robotics applications A. Nitti et al. https://doi.org/10.1038/s41467-025-61985-7
- Holistic approach to restore marine ecosystems: RENOVATE project M. Marcelli et al. https://doi.org/10.3389/fmars.2026.1770070
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- Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models V. Tran et al. https://doi.org/10.1029/2023GL104464
- Neural Network Modelling of Temperature and Salinity in the Venice Lagoon F. Bozzeda et al. https://doi.org/10.3390/cli13090189
- River–coastal–ocean continuum modeling along the Lazio coast (Tyrrhenian Sea, Italy): Assessment of near river dynamics in the Tiber delta S. Bonamano et al. https://doi.org/10.1016/j.ecss.2024.108618
- Storm surge dynamics in the northern Adriatic Sea: comparing AI emulators with high-resolution numerical simulations R. Campos-Caba et al. https://doi.org/10.5194/nhess-26-3683-2026
- Assessing storm surge model performance: what error indicators can measure the model's skill? R. Campos-Caba et al. https://doi.org/10.5194/os-20-1513-2024
- A global unstructured, coupled, high-resolution hindcast of waves and storm surge L. Mentaschi et al. https://doi.org/10.3389/fmars.2023.1233679
Saved (final revised paper)
Latest update: 02 Sep 2026
Short summary
The full exploitation of supercomputing architectures requires a deep revision of the current climate models. This paper presents the parallelization of the three-dimensional hydrodynamic model SHYFEM (System of HydrodYnamic Finite Element Modules). Optimized numerical libraries were used to partition the model domain and solve the sparse linear system of equations in parallel. The performance assessment demonstrates a good level of scalability with a realistic configuration used as a benchmark.
The full exploitation of supercomputing architectures requires a deep revision of the current...