A study on an iceberg drift trajectory
Iceberg drift forecast is a challenging process. Large uncertainties in iceberg geometry and in the driving forces — current, wind and waves — make accurate forecasts difficult. This article illustrates from a data set that even if the uncertainties in current, wind and waves are reduced the forecas...
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American Society of Mechanical Engineers (ASME)
2017
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Online Access: | http://hdl.handle.net/11250/2492759 https://doi.org/10.1115/OMAE2017-62159 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2492759 2023-05-15T14:22:10+02:00 A study on an iceberg drift trajectory Andersson, Leif Erik Scibilia, Francesco Imsland, Lars Struen 2017 http://hdl.handle.net/11250/2492759 https://doi.org/10.1115/OMAE2017-62159 eng eng American Society of Mechanical Engineers (ASME) ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, Trondheim, Norway, June 25–30, 2017 Norges forskningsråd: 223254 urn:isbn:978-0-7918-5776-2 http://hdl.handle.net/11250/2492759 https://doi.org/10.1115/OMAE2017-62159 cristin:1515866 Chapter 2017 ftntnutrondheimi https://doi.org/10.1115/OMAE2017-62159 2019-09-17T06:53:48Z Iceberg drift forecast is a challenging process. Large uncertainties in iceberg geometry and in the driving forces — current, wind and waves — make accurate forecasts difficult. This article illustrates from a data set that even if the uncertainties in current, wind and waves are reduced the forecast using a dynamic iceberg models stays difficult, because of the sensitivity of the model to different parameters and inputs. Nevertheless, if the uncertainty of the current driving force on the iceberg is reduced by measuring the current at the iceberg location, it is possible under specific conditions to estimate the approximate iceberg shape. This iceberg shape geometry can be used directly in the dynamic iceberg model. publishedVersion Copyright © 2017 by ASME Book Part Arctic NTNU Open Archive (Norwegian University of Science and Technology) Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
institution |
Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
Iceberg drift forecast is a challenging process. Large uncertainties in iceberg geometry and in the driving forces — current, wind and waves — make accurate forecasts difficult. This article illustrates from a data set that even if the uncertainties in current, wind and waves are reduced the forecast using a dynamic iceberg models stays difficult, because of the sensitivity of the model to different parameters and inputs. Nevertheless, if the uncertainty of the current driving force on the iceberg is reduced by measuring the current at the iceberg location, it is possible under specific conditions to estimate the approximate iceberg shape. This iceberg shape geometry can be used directly in the dynamic iceberg model. publishedVersion Copyright © 2017 by ASME |
format |
Book Part |
author |
Andersson, Leif Erik Scibilia, Francesco Imsland, Lars Struen |
spellingShingle |
Andersson, Leif Erik Scibilia, Francesco Imsland, Lars Struen A study on an iceberg drift trajectory |
author_facet |
Andersson, Leif Erik Scibilia, Francesco Imsland, Lars Struen |
author_sort |
Andersson, Leif Erik |
title |
A study on an iceberg drift trajectory |
title_short |
A study on an iceberg drift trajectory |
title_full |
A study on an iceberg drift trajectory |
title_fullStr |
A study on an iceberg drift trajectory |
title_full_unstemmed |
A study on an iceberg drift trajectory |
title_sort |
study on an iceberg drift trajectory |
publisher |
American Society of Mechanical Engineers (ASME) |
publishDate |
2017 |
url |
http://hdl.handle.net/11250/2492759 https://doi.org/10.1115/OMAE2017-62159 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, Trondheim, Norway, June 25–30, 2017 Norges forskningsråd: 223254 urn:isbn:978-0-7918-5776-2 http://hdl.handle.net/11250/2492759 https://doi.org/10.1115/OMAE2017-62159 cristin:1515866 |
op_doi |
https://doi.org/10.1115/OMAE2017-62159 |
container_title |
Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
_version_ |
1766294822738460672 |