Next Article in Journal
Loss to Aviation Economy Due to Winter Fog in New Delhi during the Winter of 2011–2016
Previous Article in Journal
Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle

Unprecedented Vessel-Icing Climatology Based on Spray-Icing Modelling and Reanalysis Data: A Risk-Based Decision-Making Input for Arctic Offshore Industries

1
Department of Technology and Safety, UiT The Arctic University of Norway, Campus Harstad, 9480 Harstad, Norway
2
Norwegian Meteorological Institute, 6314 Tromsø, Norway
3
Department of Physics and Technology, UiT The Arctic University of Norway, Campus Tromsø, 9037 Tromsø, Norway
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(4), 197; https://doi.org/10.3390/atmos10040197
Received: 5 March 2019 / Revised: 8 April 2019 / Accepted: 9 April 2019 / Published: 11 April 2019
  |  
PDF [7036 KB, uploaded 23 April 2019]
  |  

Abstract

Marine icing is considered a major concern for vessels operating in the Arctic Ocean. Interaction between vessels and waves is the major source of sea spray that, under certain conditions, can lead to ice accretion on the vessels and thus create hazardous situations. Various models have been developed for the estimation of ice accretion rate using meteorological and oceanographic parameters. Various data sets are also available containing observations of spray icing events for different Arctic offshore regions. However, there is limited climatological information that can be used for providing decision-makers with the necessary information on optimal options and solutions in advance for assessing, managing, and mitigating the risks imposed by spray icing. In this study, a Marine-Icing model for the Norwegian Coast Guard (MINCOG) is adapted to study and analyze ice accretion on vessels operating in sea areas between Northern Norway and Spitsbergen, their temporal and spatial variations, as well as their statistical distributions over the region. This study uses NOrwegian ReAnalysis 10 km data (NORA10) of atmosphere and ocean parameters as input to the icing model from 1980 to 2012. The developed spray icing maps representing spatial and temporal variation of icing severity and spray-ice accretion rate, as well as the probability of the occurrence of icing events at different junctures and periods, can be used for risk-based decision-making tasks involved in industrial activities including shipping and offshore logistics operations in these sea areas. View Full-Text
Keywords: sea spray icing; ice accretion rate; icing frequency; icing severity; Arctic offshore; Norwegian Barents Sea; offshore vessels sea spray icing; ice accretion rate; icing frequency; icing severity; Arctic offshore; Norwegian Barents Sea; offshore vessels
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Naseri, M.; Samuelsen, E.M. Unprecedented Vessel-Icing Climatology Based on Spray-Icing Modelling and Reanalysis Data: A Risk-Based Decision-Making Input for Arctic Offshore Industries. Atmosphere 2019, 10, 197.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top