Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4355-2024
https://doi.org/10.5194/gmd-17-4355-2024
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

Viewed

Total article views: 1,925 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,526 350 49 1,925 75 47 31
  • HTML: 1,526
  • PDF: 350
  • XML: 49
  • Total: 1,925
  • Supplement: 75
  • BibTeX: 47
  • EndNote: 31
Views and downloads (calculated since 16 Nov 2023)
Cumulative views and downloads (calculated since 16 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,925 (including HTML, PDF, and XML) Thereof 1,928 with geography defined and -3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
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.