Ship-icing prediction methods applied in operational weather forecasting

Embargoed open access, accepted manuscript version available from institutional repository 12 months from published date. Link to publisher's version: https://doi.org/10.1002/qj.3174 Sea-spray wetting of ships operating in cold environments imposes a great safety risk, due to icing. For this re...

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Published in:Quarterly Journal of the Royal Meteorological Society
Main Author: Samuelsen, Eirik Mikal
Format: Article in Journal/Newspaper
Language:English
Published: Royal Metrological Society (RMetS) 2017
Subjects:
Online Access:https://hdl.handle.net/10037/12725
https://doi.org/10.1002/qj.3174
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/12725 2023-05-15T15:15:45+02:00 Ship-icing prediction methods applied in operational weather forecasting Samuelsen, Eirik Mikal 2017-10-11 https://hdl.handle.net/10037/12725 https://doi.org/10.1002/qj.3174 eng eng Royal Metrological Society (RMetS) Quarterly Journal of the Royal Meteorological Society Norges forskningsråd: 226404 Samuelsen EMS. Ship-icing prediction methods applied in operational weather forecasting. Quarterly Journal of the Royal Meteorological Society. 2018, vol.144 (710), p.13-33 FRIDAID 1525068 doi:10.1002/qj.3174 0035-9009 1477-870X https://hdl.handle.net/10037/12725 openAccess VDP::Technology: 500 Journal article Peer reviewed Tidsskriftartikkel 2017 ftunivtroemsoe https://doi.org/10.1002/qj.3174 2021-06-25T17:55:43Z Embargoed open access, accepted manuscript version available from institutional repository 12 months from published date. Link to publisher's version: https://doi.org/10.1002/qj.3174 Sea-spray wetting of ships operating in cold environments imposes a great safety risk, due to icing. For this reason, marine-icing warnings have been a part of operational weather forecasting for the last five decades, yet verification of such warnings has only been done sparingly. This article evaluates different ship-icing methods applied in operational weather forecasting. The methods are tested against a unique dataset from a single ship type from Arctic–Norwegian waters and two screened datasets from several ship types from Alaska and the east coast of Canada. Missing and uncertain parameters in the latter datasets are supplemented by reanalysis data for different sources. Continuous icing-rate verification and sensitivity tests are presented for the physical icing models alongside categorical icing-rate verification, which is applied in order also to evaluate icing nomograms, which are still used by several forecasting agencies. Furthermore, a newly proposed definition of the boundaries between icing-rate severity categories is applied in the categorical verification procedure. The overall best verification scores for continuous and categorical icing rates are obtained by the Marine Icing model for the Norwegian COast Guard (MINCOG) and a physically based Overland model, updated from its initial version with more realistic heat transfer. Finally, sensitivity tests highlight that very low air and sea-surface temperatures rarely occur over sea areas together with high waves, due to fetch limitations, even for strong winds. For this reason, models and nomograms that do not treat wind speed and wave height separately will provide inaccurate predictions of the icing rate in such areas. Consequently, it is preferable that methods applied in operational weather forecasting are replaced with methods capable of taking this effect into account. Article in Journal/Newspaper Arctic Alaska University of Tromsø: Munin Open Research Archive Arctic Canada Quarterly Journal of the Royal Meteorological Society 144 710 13 33
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Technology: 500
spellingShingle VDP::Technology: 500
Samuelsen, Eirik Mikal
Ship-icing prediction methods applied in operational weather forecasting
topic_facet VDP::Technology: 500
description Embargoed open access, accepted manuscript version available from institutional repository 12 months from published date. Link to publisher's version: https://doi.org/10.1002/qj.3174 Sea-spray wetting of ships operating in cold environments imposes a great safety risk, due to icing. For this reason, marine-icing warnings have been a part of operational weather forecasting for the last five decades, yet verification of such warnings has only been done sparingly. This article evaluates different ship-icing methods applied in operational weather forecasting. The methods are tested against a unique dataset from a single ship type from Arctic–Norwegian waters and two screened datasets from several ship types from Alaska and the east coast of Canada. Missing and uncertain parameters in the latter datasets are supplemented by reanalysis data for different sources. Continuous icing-rate verification and sensitivity tests are presented for the physical icing models alongside categorical icing-rate verification, which is applied in order also to evaluate icing nomograms, which are still used by several forecasting agencies. Furthermore, a newly proposed definition of the boundaries between icing-rate severity categories is applied in the categorical verification procedure. The overall best verification scores for continuous and categorical icing rates are obtained by the Marine Icing model for the Norwegian COast Guard (MINCOG) and a physically based Overland model, updated from its initial version with more realistic heat transfer. Finally, sensitivity tests highlight that very low air and sea-surface temperatures rarely occur over sea areas together with high waves, due to fetch limitations, even for strong winds. For this reason, models and nomograms that do not treat wind speed and wave height separately will provide inaccurate predictions of the icing rate in such areas. Consequently, it is preferable that methods applied in operational weather forecasting are replaced with methods capable of taking this effect into account.
format Article in Journal/Newspaper
author Samuelsen, Eirik Mikal
author_facet Samuelsen, Eirik Mikal
author_sort Samuelsen, Eirik Mikal
title Ship-icing prediction methods applied in operational weather forecasting
title_short Ship-icing prediction methods applied in operational weather forecasting
title_full Ship-icing prediction methods applied in operational weather forecasting
title_fullStr Ship-icing prediction methods applied in operational weather forecasting
title_full_unstemmed Ship-icing prediction methods applied in operational weather forecasting
title_sort ship-icing prediction methods applied in operational weather forecasting
publisher Royal Metrological Society (RMetS)
publishDate 2017
url https://hdl.handle.net/10037/12725
https://doi.org/10.1002/qj.3174
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Alaska
genre_facet Arctic
Alaska
op_relation Quarterly Journal of the Royal Meteorological Society
Norges forskningsråd: 226404
Samuelsen EMS. Ship-icing prediction methods applied in operational weather forecasting. Quarterly Journal of the Royal Meteorological Society. 2018, vol.144 (710), p.13-33
FRIDAID 1525068
doi:10.1002/qj.3174
0035-9009
1477-870X
https://hdl.handle.net/10037/12725
op_rights openAccess
op_doi https://doi.org/10.1002/qj.3174
container_title Quarterly Journal of the Royal Meteorological Society
container_volume 144
container_issue 710
container_start_page 13
op_container_end_page 33
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