VISIR-2: ship weather routing in Python

Mannarini, Gianandrea; Salinas, Mario Leonardo; Carelli, Lorenzo; Petacco, Nicola; Orović, Josip

doi:https://doi.org/10.5194/gmd-17-4355-2024

Articles | Volume 17, issue 10

https://doi.org/10.5194/gmd-17-4355-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-4355-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 10

Model description paper

|

24 May 2024

Model description paper |

| 24 May 2024

VISIR-2: ship weather routing in Python

Gianandrea Mannarini, Mario Leonardo Salinas, Lorenzo Carelli, Nicola Petacco, and Josip Orović

Supplement

https://doi.org/10.5194/gmd-17-4355-2024-supplement

Data sets

Raw data to replicate VISIR-2 numerical experiments Mario Salinas et al. https://doi.org/10.5281/zenodo.10674079

Intermediate materials for reproducing figures and tables Mario Salinas et al. https://doi.org/10.5281/zenodo.10674082

Model code and software

[VISIR-2 ship weather routing model] source code (Python) Mario Salinas et al. https://doi.org/10.5281/zenodo.10960842

Video supplement

Ferry case study Mario Salinas https://doi.org/10.5446/s_1687

Sailboat case study Mario Salinas https://doi.org/10.5446/s_1688

Short summary

Ship weather routing has the potential to reduce CO₂ emissions, but it currently lacks open and verifiable research. The Python-refactored VISIR-2 model considers currents, waves, and wind to optimise routes. The model was validated, and its computational performance is quasi-linear. For a ferry sailing in the Mediterranean Sea, VISIR-2 yields the largest percentage emission savings for upwind navigation. Given the vessel performance curve, the model is generalisable across various vessel types.