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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Main Authors: Sinsabvarodom, Chana, Chai, Wei, Leira, Bernt Johan, Høyland, Knut Vilhelm, Næss, Arvid
Format: Article in Journal/Newspaper
Language:English
Published: Port and Ocean Engineering under Arctic Conditions 2019
Subjects:
Online Access:http://hdl.handle.net/11250/2638504
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spelling 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
collection 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