Estimating iceberg paths using a wind-driven drift model
Icebergs are hazards to ship traffic and offshore operations. Their monitoring using satellite data is hence important for marine safety and for protection of the marine environment. The repeated search for smaller icebergs in a temporal sequence of satellite images, however, can be time consuming i...
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Online Access: | https://epic.awi.de/id/eprint/39762/ https://hdl.handle.net/10013/epic.46888 |
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ftawi:oai:epic.awi.de:39762 2024-09-15T17:46:50+00:00 Estimating iceberg paths using a wind-driven drift model Wesche, Christine Dierking, Wolfgang 2016-05 https://epic.awi.de/id/eprint/39762/ https://hdl.handle.net/10013/epic.46888 unknown ELSEVIER SCIENCE BV Wesche, C. orcid:0000-0002-9786-4010 and Dierking, W. orcid:0000-0002-5031-648X (2016) Estimating iceberg paths using a wind-driven drift model , Cold Regions Science and Technology, 125 (1), pp. 31-39 . doi:10.1016/j.coldregions.2016.01.008 <https://doi.org/10.1016/j.coldregions.2016.01.008> , hdl:10013/epic.46888 EPIC3Cold Regions Science and Technology, ELSEVIER SCIENCE BV, 125(1), pp. 31-39, ISSN: 0165-232X Article isiRev 2016 ftawi https://doi.org/10.1016/j.coldregions.2016.01.008 2024-06-24T04:13:16Z Icebergs are hazards to ship traffic and offshore operations. Their monitoring using satellite data is hence important for marine safety and for protection of the marine environment. The repeated search for smaller icebergs in a temporal sequence of satellite images, however, can be time consuming if the expected drift path of the berg is not known. Computer simulations of iceberg drift can be applied to determine the approximate new iceberg position to narrow the search radius for icebergs. Best suited for this purpose are relatively simple, fast-running models. For three different regions of the Weddell Sea, Antarctica, we used an iceberg drift model driven by wind forecasts and analyzed predicted iceberg positions in comparison to positions retrieved from GPS buoys placed on the icebergs. As an error measure, we took the difference between the modeled and observed iceberg positions and drift angles. As the model was developed for open water regions, we added a sea-ice component. The application of the model was tested on two ENVISAT Wide Swath SAR scenes from the Weddell Sea, simulating and tracking iceberg positions for a period of five days. Although simulation results differ from direct observations of iceberg drift, they are still useful for narrowing the search area for icebergs in satellite images. We attribute the deviations between simulations and observations to the inherent large uncertainties in the input data for the model. Article in Journal/Newspaper Antarc* Antarctica Sea ice Weddell Sea Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Cold Regions Science and Technology 125 31 39 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
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description |
Icebergs are hazards to ship traffic and offshore operations. Their monitoring using satellite data is hence important for marine safety and for protection of the marine environment. The repeated search for smaller icebergs in a temporal sequence of satellite images, however, can be time consuming if the expected drift path of the berg is not known. Computer simulations of iceberg drift can be applied to determine the approximate new iceberg position to narrow the search radius for icebergs. Best suited for this purpose are relatively simple, fast-running models. For three different regions of the Weddell Sea, Antarctica, we used an iceberg drift model driven by wind forecasts and analyzed predicted iceberg positions in comparison to positions retrieved from GPS buoys placed on the icebergs. As an error measure, we took the difference between the modeled and observed iceberg positions and drift angles. As the model was developed for open water regions, we added a sea-ice component. The application of the model was tested on two ENVISAT Wide Swath SAR scenes from the Weddell Sea, simulating and tracking iceberg positions for a period of five days. Although simulation results differ from direct observations of iceberg drift, they are still useful for narrowing the search area for icebergs in satellite images. We attribute the deviations between simulations and observations to the inherent large uncertainties in the input data for the model. |
format |
Article in Journal/Newspaper |
author |
Wesche, Christine Dierking, Wolfgang |
spellingShingle |
Wesche, Christine Dierking, Wolfgang Estimating iceberg paths using a wind-driven drift model |
author_facet |
Wesche, Christine Dierking, Wolfgang |
author_sort |
Wesche, Christine |
title |
Estimating iceberg paths using a wind-driven drift model |
title_short |
Estimating iceberg paths using a wind-driven drift model |
title_full |
Estimating iceberg paths using a wind-driven drift model |
title_fullStr |
Estimating iceberg paths using a wind-driven drift model |
title_full_unstemmed |
Estimating iceberg paths using a wind-driven drift model |
title_sort |
estimating iceberg paths using a wind-driven drift model |
publisher |
ELSEVIER SCIENCE BV |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/39762/ https://hdl.handle.net/10013/epic.46888 |
genre |
Antarc* Antarctica Sea ice Weddell Sea |
genre_facet |
Antarc* Antarctica Sea ice Weddell Sea |
op_source |
EPIC3Cold Regions Science and Technology, ELSEVIER SCIENCE BV, 125(1), pp. 31-39, ISSN: 0165-232X |
op_relation |
Wesche, C. orcid:0000-0002-9786-4010 and Dierking, W. orcid:0000-0002-5031-648X (2016) Estimating iceberg paths using a wind-driven drift model , Cold Regions Science and Technology, 125 (1), pp. 31-39 . doi:10.1016/j.coldregions.2016.01.008 <https://doi.org/10.1016/j.coldregions.2016.01.008> , hdl:10013/epic.46888 |
op_doi |
https://doi.org/10.1016/j.coldregions.2016.01.008 |
container_title |
Cold Regions Science and Technology |
container_volume |
125 |
container_start_page |
31 |
op_container_end_page |
39 |
_version_ |
1810495248667770880 |