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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Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
UiT Norges arktiske universitet
2017
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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 |
id | ftunivtroemsoe:oai:munin.uit.no:10037/11801 |
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 |