1. bookVolume 27 (2020): Issue 1 (March 2020)
Journal Details
License
Format
Journal
eISSN
2083-7429
First Published
20 Jul 2007
Publication timeframe
4 times per year
Languages
English
access type Open Access

Towards Improving Optimised Ship Weather Routing

Published Online: 30 Apr 2020
Volume & Issue: Volume 27 (2020) - Issue 1 (March 2020)
Page range: 60 - 69
Journal Details
License
Format
Journal
eISSN
2083-7429
First Published
20 Jul 2007
Publication timeframe
4 times per year
Languages
English
Abstract

The aim of the paper is to outline a project focussing on the development of a new type of ship weather routing solution with improved uncertainty handling, through better estimation of ship performance and responses to sea conditions. Ensemble forecasting is considered to take into account the uncertainty levels that are typical of operations in a stochastic environment. Increased accuracy of weather prediction is achieved through the assimilation of real-time data, measured by an on-board monitoring system. The proposed system will allow smooth integration of short-term Decision Support Systems for ship handling in dangerous or peculiar situations with long-term Decision Support Systems for weather routing. An appropriate user interface is also a critical part of the project and it will be implemented in a commercial Electronic Nautical Chart environment. A prototype of the full system will be installed and tested on a commercial vessel in regular operations and under real environmental conditions.

Keywords

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