A New Marine Auto-response Quantitative Wind Forecast System

Great waves are usually introduced by and accompanied with strong winds; either of them is dangerous to the vessels on the sea. With the help of quantitative wind speed forecast, a seaman or a self-control system can decide whether to go along the original navigation route or switch to a safer one. A new 24/7 auto-response system was developed with the purpose of providing the future 1-5 days nautical surface wind trend per vessel's request. To lower the satellite communication cost, the messages are formatted in concise and quantitative text-mode (total < 200 bytes). The weather forecast data, retrieved at the nearest half degree grid point from an advanced global weather numerical model stored in a US server, is adjusted by statistical rending method according to the local conditions. The preliminary results were proven to contain great reliability and creditability.

• Record URL:
  • https://doi.org/10.1016/j.sbspro.2013.08.154
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877042813022805
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • © 2013 Jun Jian and Peter Webster
• Authors:
  • Jian, Jun
  • Webster, Peter
• Conference:
  • 13th COTA International Conference of Transportation Professionals (CICTP 2013)
  • Location: Shenzhen , China
  • Date: 2013-8-13 to 2013-8-16
• Publication Date: 2013-11-6

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 1362-1365
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 96
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Navigation systems; Satellite communication; Ships; Waves; Weather forecasting; Wind
• Subject Areas: Data and Information Technology; Marine Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01515007
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 21 2014 3:16PM