Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[VISIR-2 ship weather routing model] source code (Python)

Authors: Salinas, Mario Leonardo; Carelli, Lorenzo; Mannarini, Gianandrea;

[VISIR-2 ship weather routing model] source code (Python)

Abstract

This code release introduces new functionalities and fixes a bug. In particular: clearer inline comments in the input namelists enhanced GUI (based on streamlit) for port code search updated user manual bug fix(*) for case of input fields with overlapping timespans bug fix(*) relative to marine fields pre-processing in certain costal regions *) already published results are unaffected.

Source code of the VISIR-2 ship weather routing model. The Python-coded VISIR-2 model considers currents, waves, and wind to optimise ship routes via a graph-search method. It computes least-distance, least-time, and least-CO2 routes in a dynamic marine environment. The model was validated, and its computational performance is quasi-linear. 

This version of the VISIR-2 source code reproduces the results documented in the paper: Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, Geosci. Model Dev., 17, 4355–4382, https://doi.org/10.5194/gmd-17-4355-2024, 2024. --> A video-tutorial can be found here. 

Input data availability: input datasets and graphs used for the route computations: https://zenodo.org/records/10674079 Intermediate data products: routes for producing figures and tables of the manuscript https://zenodo.org/records/10674082

An online form is now available for providing feedback on the VISIR-2 ship weather routing model.

Keywords

Wave direction, Greenhouse gas emissions, Ocean current, Route planning, Ships

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 8
  • 8
    views
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
8
Related to Research communities