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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2060', Anonymous Referee #1, 30 Nov 2023
  • RC2: 'Comment on egusphere-2023-2060', Anonymous Referee #2, 09 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Gianandrea Mannarini on behalf of the Authors (27 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (04 Apr 2024) by David Ham
AR by Gianandrea Mannarini on behalf of the Authors (09 Apr 2024)  Author's response   Manuscript 
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.