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Tytuł artykułu

Review of weather forecast services for ship routing purposes

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Weather data is nowadays used in a variety of navigational and ocean engineering research problems: from the obvious ones like voyage planning and routing of sea-going vessels, through the analysis of stability-related phenomena, to detailed modelling of ships’ manoeuvrability for collision avoidance purposes. Apart from that, weather forecasts are essential for passenger cruises and fishing vessels that want to avoid the risk associated with severe hydro-meteorological conditions. Currently, there is a wide array of services that offer weather predictions. These services include the original sources – services that make use of their own infrastructure and research models – as well as those that further postprocess the data obtained from the original sources. The existing services also differ in their update frequency, area coverage, geographical resolution, natural phenomena taken into account and finally – output file formats. In the course of the ROUTING project, primarily addressing ship weather routing accounting for changeable weather conditions, the necessity arose to prepare a report on the state-of-the-art in numerical weather prediction (NWP) modelling. Based on the report, this paper offers a thorough review of the existing weather services and detailed information on how to access the data offered by these services. While this review has been done with transoceanic ship routing in mind, hopefully it will also be useful for a number of other applications, including the already mentioned collision avoidance solutions.
Słowa kluczowe
Rocznik
Tom
Strony
80--89
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
  • Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
  • Gdynia Maritime University, Poland
  • Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
Bibliografia
  • 1. Acanfora M., Montewka J., Hinz T., Matusiak J. (2017): Towards realistic estimation of ship excessive motions in heavy weather. A case study of a containership in the Pacific Ocean. Ocean Eng., Vol. 138, 140–150.
  • 2. Bijlsma S. J. (2008): Minimal Time Route Computation for Ships with Pre-Specified Voyage Fuel Consumption. J. Navig., Vol. 61, 723–733.
  • 3. Chang Y., Tseng R., Chen G., Chu P. C. (2013): Ship Routing Utilizing Strong Ocean Currents. J. Navig., Vol. 66, 825–835.
  • 4. Chen C., Shiotani S., Sasa K. (2013): Numerical ship navigation based on weather and ocean simulation. Ocean Eng., Vol. 69, 44–53.
  • 5. Chen H. (2013): Weather routing versus voyage optimisation. Digit. Sh., 26–27.
  • 6. Deco A., Frangopol D. M. (2015): Real-time risk of ship structures integrating structural health monitoring data: Application to multi-objective optimal ship routing. Ocean Eng., Vol. 96, 312–329.
  • 7. Hagiwara H., Spaans J. A. (1987): Practical Weather Routing of Sail-assisted Motor Vessels. J. Navig., Vol. 40, 96–119.
  • 8. Hinnenthal J., Clauss G. (2010): Robust Pareto-optimum routing of ships utilising deterministic and ensemble weather forecasts. Ships Offshore Struct., Vol. 5, 105–114.
  • 9. James R.W. (1957): Application of wave forecast to marine navigation. US Naval Oceanographic Office, Washington.
  • 10. Krata P., Szlapczynska J. (2018): Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction. Ocean Eng., Vol. 150, 124–137.
  • 11. Mannarini G., Coppini G., Oddo P., Pinardi N. (2013): A Prototype of Ship Routing Decision Support System for an Operational Oceanographic Service. TransNav, Int. J. Mar. Navig. Saf. Sea Transp., Vol. 7, 53–59.
  • 12. Mannarini G., Pinardi N., Coppini G., Oddo P., Iafrati A., Nazionale I., Creti V. D. (2016): VISIR-I : small vessels – least-time nautical routes using wave forecasts. Geosci. Model Dev., Vol. 9, 1597–1625.
  • 13. Marie S., Courteille E. (2013): Multi-Objective Optimization of Motor Vessel Route. Int. J. Mar. Navig. Saf. Seas Transp., Vol. 3, 133–141.
  • 14. Motte R. H., Calvert S. (1990): On The Selection of Discrete Grid Systems for On-Board Micro-based Weather Routeing. J. Navig., Vol. 43, 104–117.
  • 15. Natskar A., Moan T., Alvar P. O. (2015): Uncertainty in forecasted environmental conditions for reliability analyses of marine operations. Ocean Eng., Vol. 108, 636–647.
  • 16. Perera L. P., Soares C. G. (2017): Weather routing and safe ship handling in the future of shipping. Ocean Eng., Vol. 130, 684–695.
  • 17. Roulston M. S., Ellepola, J., von Hardenberg J., Smith L. A. (2005): Forecasting wave height probabilities with numerical weather prediction models. Ocean Eng., Vol. 32, 1841–1863.
  • 18. Specht C., Rudnicki J. (2016): A Method for the Assessing of Reliability Characteristics Relevant to an Assumed Position-Fixing Accuracy in Navigational Positioning Systems. Polish Marit. Res., Vol. 23, 20–27.
  • 19. Suzuki R., Tsukada Y., Tsujimoto M., Muraoka E., Ueno M. (2017): A study on high-lift rudder performance in adverse weather based on model tests under high propeller load. Ocean Eng., Vol. 136, 152–167.
  • 20. Szlapczynska J. (2007): Multiobjective Approach to Weather Routing. TransNav - Int. J. Mar. Navig. Saf. Sea Transp., Vol. 1, 273–278.
  • 21. Szlapczynska J. (2015): Multi-objective weather routing with customised criteria and constraints. J. Navig., Vol. 68.
  • 22. Szlapczynski R., Krata P. (2018): Determining and visualizing safe motion parameters of a ship navigating in severe weather conditions. Ocean Eng., Vol. 158, 263–274.
  • 23. Tagliaferri F., Viola I. M. (2017): A real-time strategydecision program for sailing yacht races. Ocean Eng., Vol. 134, 129-139.
  • 24. Tsou M.-C. (2010): Integration of a Geographic Information System and Evolutionary Computation for Automatic Routing in Coastal Navigation. J. Navig., Vol. 63, 323–341.
  • 25. Vettor R., Guedes Soares C. (2015): Multi-objective Route Optimization for Onboard Decision Support System. 99–106.
  • 26. Vettor R., Guedes Soares C. (2017): Characterisation of the expected weather conditions in the main European coastal traffic routes. Ocean Eng., Vol. 140, 244–257.
  • 27. Vettor R., Soares C. G., Wo Y. (2017): Assessment of the Storm Avoidance Effect on the Wave Climate along the Main North Atlantic Routes. J. Navig., Vol. 69, 127–144.
  • 28. Wei S., Zhou P. (2012): Development of a 3D Dynamic Programming Method for Weather Routing. Int. J. Mar. Navig. Saf. Sea Transp., Vol. 6, 79–85.
  • 29. de Wit C. (1990): Proposal for Low Cost Ocean Weather Routeing. J. Navig., Vol. 43, 428–439.
  • 30. Życzkowski M., Krata P., Szłapczyński R. (2018): Multiobjective weather routing of sailboats considering wave resistance. Polish Marit. Res., Vol. 25, 4–12.
  • 31. Zyczkowski M., Szłapczyński R. (2017): Multi-Objective Weather Routing of Sailing Vessels. Polish Marit. Res., Vol. 24.
  • 32. ROUTING project web-page, (n.d.).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-76c000b1-3a25-4863-a998-df0e6afb6b11
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