Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea
The intention of this paper is to introduce the ice rose diagram, which is a graphical tool that makes it possible to display the ice drift speed, the occurrence frequency, and the drift direction at a particular location for a given observation period. The ice drift data is obtained from subsurface...
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Port and Ocean Engineering under Arctic Conditions
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2638504 2023-05-15T14:22:30+02:00 Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea Sinsabvarodom, Chana Chai, Wei Leira, Bernt Johan Høyland, Knut Vilhelm Næss, Arvid 2019 http://hdl.handle.net/11250/2638504 eng eng Port and Ocean Engineering under Arctic Conditions urn:issn:0376-6756 http://hdl.handle.net/11250/2638504 cristin:1756158 2019-June Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions Journal article Peer reviewed 2019 ftntnutrondheimi 2020-02-05T23:32:29Z The intention of this paper is to introduce the ice rose diagram, which is a graphical tool that makes it possible to display the ice drift speed, the occurrence frequency, and the drift direction at a particular location for a given observation period. The ice drift data is obtained from subsurface local measurements with an acoustic Doppler current profiler (ADCP) which forms the basis for construction of the ice rose diagram. The data is collected during different years from 2010 to 2017 by ADCP instruments, which are installed by means of mooring buoys in the Beaufort Sea. Probabilistic models are introduced in order to fit the data for ice drift speed and drift direction. It is found that the sea ice in the Beaufort Sea tends to drift with different speeds during the winter (i.e. the growth season) versus during the summer (i.e. the melting season). The drift speed is generally lowest during the growth season and highest during the melt season. The Weibull probability model provides the most appropriate fit for the data of ice drift speed during the growth season. For the melting season, a mixed distribution provides the best fit for the ice drift speed. Regarding ice drift direction, a mixture of von Mises distributions provides the most appropriate fit for both the growth and the melting seasons. publishedVersion Published by Port and Ocean Engineering under Arctic Conditions. http://www.poac.com/PastConferences.html Article in Journal/Newspaper Arctic Arctic Beaufort Sea Sea ice NTNU Open Archive (Norwegian University of Science and Technology) Arctic |
institution |
Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
The intention of this paper is to introduce the ice rose diagram, which is a graphical tool that makes it possible to display the ice drift speed, the occurrence frequency, and the drift direction at a particular location for a given observation period. The ice drift data is obtained from subsurface local measurements with an acoustic Doppler current profiler (ADCP) which forms the basis for construction of the ice rose diagram. The data is collected during different years from 2010 to 2017 by ADCP instruments, which are installed by means of mooring buoys in the Beaufort Sea. Probabilistic models are introduced in order to fit the data for ice drift speed and drift direction. It is found that the sea ice in the Beaufort Sea tends to drift with different speeds during the winter (i.e. the growth season) versus during the summer (i.e. the melting season). The drift speed is generally lowest during the growth season and highest during the melt season. The Weibull probability model provides the most appropriate fit for the data of ice drift speed during the growth season. For the melting season, a mixed distribution provides the best fit for the ice drift speed. Regarding ice drift direction, a mixture of von Mises distributions provides the most appropriate fit for both the growth and the melting seasons. publishedVersion Published by Port and Ocean Engineering under Arctic Conditions. http://www.poac.com/PastConferences.html |
format |
Article in Journal/Newspaper |
author |
Sinsabvarodom, Chana Chai, Wei Leira, Bernt Johan Høyland, Knut Vilhelm Næss, Arvid |
spellingShingle |
Sinsabvarodom, Chana Chai, Wei Leira, Bernt Johan Høyland, Knut Vilhelm Næss, Arvid Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
author_facet |
Sinsabvarodom, Chana Chai, Wei Leira, Bernt Johan Høyland, Knut Vilhelm Næss, Arvid |
author_sort |
Sinsabvarodom, Chana |
title |
Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
title_short |
Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
title_full |
Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
title_fullStr |
Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
title_full_unstemmed |
Probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
title_sort |
probabilistic assessment of ice rose diagrams for ice drift in the beaufort sea |
publisher |
Port and Ocean Engineering under Arctic Conditions |
publishDate |
2019 |
url |
http://hdl.handle.net/11250/2638504 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Beaufort Sea Sea ice |
genre_facet |
Arctic Arctic Beaufort Sea Sea ice |
op_source |
2019-June Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions |
op_relation |
urn:issn:0376-6756 http://hdl.handle.net/11250/2638504 cristin:1756158 |
_version_ |
1766295072595247104 |