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dc.contributor.authorNaseri, Masoud
dc.contributor.authorSamuelsen, Eirik Mikal
dc.date.accessioned2019-05-09T11:34:03Z
dc.date.available2019-05-09T11:34:03Z
dc.date.issued2019-04-11
dc.description.abstractMarine 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.en_US
dc.description.sponsorshipThe authors would like to acknowledge the financial support of the Norwegian Research Council through the MAROFF programme (grant number: 226404). The Norwegian Deepwater Programme is also acknowledged for the use of NORA10 hindcast data. The authors would also like to appreciate the help received from Singe Aaboe at the Norwegian Meteorological Institute for preparation of Figure 10 illustrating the sea ice edge in the Barents Sea.en_US
dc.descriptionSource available at <a href=https://doi.org/10.3390/atmos10040197>https://doi.org/10.3390/atmos10040197</a>en_US
dc.identifier.citationNaseri, N., Samuelsen, E.M. (2019) Unprecedented Vessel-Icing Climatology based on Spray-Icing Modelling and Reanalysis Data: A Risk-Based Decision-Making Input for Arctic Offshore Industries. <i> Atmosphere, 10</i>, (4), 29 s. https://doi.org/10.3390/atmos10040197en_US
dc.identifier.cristinIDFRIDAID 1691880
dc.identifier.doi10.3390/atmos10040197
dc.identifier.issn2073-4433
dc.identifier.urihttps://hdl.handle.net/10037/15274
dc.language.isoengen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.journalAtmosphere
dc.relation.projectIDNorges forskningsråd: MAROFF 226404en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Technology: 500::Marine technology: 580::Other marine technology: 589en_US
dc.subjectVDP::Teknologi: 500::Marin teknologi: 580::Annen marin teknologi: 589en_US
dc.titleUnprecedented Vessel-Icing Climatology based on Spray-Icing Modelling and Reanalysis Data: A Risk-Based Decision-Making Input for Arctic Offshore Industriesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US


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