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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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 |
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University of Tromsø: Munin Open Research Archive |
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ftunivtroemsoe |
language |
English |
topic |
VDP::Technology: 500 |
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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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1766346086413238272 |