Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting

The papers III and IV of this thesis are not available in Munin. Paper III: Samuelsen, E.M.: Ship-icing prediction methods applied in operational weather forecasting. (Manuscript). Published version in Quartelrly Journal of the Royal Meteorological Society, 144 (710), 13-33, is available at http://d...

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Main Author: Samuelsen, Eirik Mikal
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: UiT Norges arktiske universitet 2017
Subjects:
Online Access:https://hdl.handle.net/10037/11801
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author Samuelsen, Eirik Mikal
author_facet Samuelsen, Eirik Mikal
author_sort Samuelsen, Eirik Mikal
collection University of Tromsø: Munin Open Research Archive
description The papers III and IV of this thesis are not available in Munin. Paper III: Samuelsen, E.M.: Ship-icing prediction methods applied in operational weather forecasting. (Manuscript). Published version in Quartelrly Journal of the Royal Meteorological Society, 144 (710), 13-33, is available at http://dx.doi.org/10.1002/qj.3174. Paper IV: Samuelsen, E.M. & Graversen, R.G.: Weather situation during observed ship-icing events off the coast of Northern Norway and the Svalbard archipelago. (Manuscript). Published version in Weather and Climate Extremes , is available at https://doi.org/10.1016/j.wace.2019.100200. A ship travelling in sub-freezing conditions may encounter sea spray, rain, fog or snow freezing onto various parts of it. Such ship icing is a well-known threat for those individuals who have served on ships operating in a cold marine climate. As de-icing techniques may be energy consuming, accurate prediction of icing is also desirable from a financial point of view. Throughout the last 60 years there have been several efforts trying to model this elusive phenomenon. However, the lack of accurate field observations poses questions to the accuracy of the state-of-the-art modelling approaches including the parameterization of the physical processes of the models. As a consequence, the current study presents and utilises icing data obtained from ship observations in Arctic-Norwegian waters supplemented with high-resolution reanalysis data. On the basis of a unique data set derived from observations recorded on a particular ship type of the Norwegian Coast Guard, a completely new icing model has been developed. Verification of this Marine Icing model for the Norwegian COast Guard (MINCOG) and comparison to currently-applied methods in operational weather forecasting, reveals higher accuracy of MINCOG compared to the other methods. Furthermore, the study stresses the importance of including wave information separately into marine-icing models rather than incorporating it in the wind-speed parameter. A major ...
format Doctoral or Postdoctoral Thesis
genre Arctic
Northern Norway
Svalbard
genre_facet Arctic
Northern Norway
Svalbard
geographic Arctic
Norway
Svalbard
Svalbard Archipelago
geographic_facet Arctic
Norway
Svalbard
Svalbard Archipelago
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institution Open Polar
language English
op_collection_id ftunivtroemsoe
op_relation https://hdl.handle.net/10037/11801
op_rights Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
openAccess
Copyright 2017 The Author(s)
https://creativecommons.org/licenses/by-nc-sa/3.0
publishDate 2017
publisher UiT Norges arktiske universitet
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/11801 2025-04-13T14:14:28+00:00 Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting Samuelsen, Eirik Mikal 2017-11-20 https://hdl.handle.net/10037/11801 eng eng UiT Norges arktiske universitet UiT The Arctic University of Norway https://hdl.handle.net/10037/11801 Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) openAccess Copyright 2017 The Author(s) https://creativecommons.org/licenses/by-nc-sa/3.0 VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453 Doctoral thesis Doktorgradsavhandling 2017 ftunivtroemsoe 2025-03-14T05:17:55Z The papers III and IV of this thesis are not available in Munin. Paper III: Samuelsen, E.M.: Ship-icing prediction methods applied in operational weather forecasting. (Manuscript). Published version in Quartelrly Journal of the Royal Meteorological Society, 144 (710), 13-33, is available at http://dx.doi.org/10.1002/qj.3174. Paper IV: Samuelsen, E.M. & Graversen, R.G.: Weather situation during observed ship-icing events off the coast of Northern Norway and the Svalbard archipelago. (Manuscript). Published version in Weather and Climate Extremes , is available at https://doi.org/10.1016/j.wace.2019.100200. A ship travelling in sub-freezing conditions may encounter sea spray, rain, fog or snow freezing onto various parts of it. Such ship icing is a well-known threat for those individuals who have served on ships operating in a cold marine climate. As de-icing techniques may be energy consuming, accurate prediction of icing is also desirable from a financial point of view. Throughout the last 60 years there have been several efforts trying to model this elusive phenomenon. However, the lack of accurate field observations poses questions to the accuracy of the state-of-the-art modelling approaches including the parameterization of the physical processes of the models. As a consequence, the current study presents and utilises icing data obtained from ship observations in Arctic-Norwegian waters supplemented with high-resolution reanalysis data. On the basis of a unique data set derived from observations recorded on a particular ship type of the Norwegian Coast Guard, a completely new icing model has been developed. Verification of this Marine Icing model for the Norwegian COast Guard (MINCOG) and comparison to currently-applied methods in operational weather forecasting, reveals higher accuracy of MINCOG compared to the other methods. Furthermore, the study stresses the importance of including wave information separately into marine-icing models rather than incorporating it in the wind-speed parameter. A major ... Doctoral or Postdoctoral Thesis Arctic Northern Norway Svalbard University of Tromsø: Munin Open Research Archive Arctic Norway Svalbard Svalbard Archipelago
spellingShingle VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453
Samuelsen, Eirik Mikal
Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title_full Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title_fullStr Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title_full_unstemmed Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title_short Prediction of ship icing in Arctic waters - Observations and modelling for application in operational weather forecasting
title_sort prediction of ship icing in arctic waters - observations and modelling for application in operational weather forecasting
topic VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453
topic_facet VDP::Mathematics and natural science: 400::Geosciences: 450::Meteorology: 453
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Meteorologi: 453
url https://hdl.handle.net/10037/11801