Physiographic Provinces of the Arctic Ocean Seafloor
The International Bathymetric Chart of the Arctic Ocean (IBCAO) grid model has been used to define the first-order physiographic provinces of the Arctic Ocean, which in this study is taken to consist of the oceanic deep Arctic Ocean Basin; the broad continental shelves of the Barents, Kara, Laptev,...
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ftuninhampshire:oai:scholars.unh.edu:ccom-1989 2023-05-15T14:28:53+02:00 Physiographic Provinces of the Arctic Ocean Seafloor Jakobsson, Martin Grantz, Arthur Kristoffersen, Yngue Macnab, Ron 2003-01-01T08:00:00Z https://scholars.unh.edu/ccom/989 http://gsabulletin.gsapubs.org/content/115/12/1443.abstract?sid=803cadd6-740d-45b8-9d12-4c36a9cea823 unknown University of New Hampshire Scholars' Repository https://scholars.unh.edu/ccom/989 http://gsabulletin.gsapubs.org/content/115/12/1443.abstract?sid=803cadd6-740d-45b8-9d12-4c36a9cea823 Center for Coastal and Ocean Mapping Arctic Ocean physiography bathymetry ocean ridges ocean basins Geology text 2003 ftuninhampshire 2023-01-30T21:33:22Z The International Bathymetric Chart of the Arctic Ocean (IBCAO) grid model has been used to define the first-order physiographic provinces of the Arctic Ocean, which in this study is taken to consist of the oceanic deep Arctic Ocean Basin; the broad continental shelves of the Barents, Kara, Laptev, East Siberian, and Chukchi Seas; the White Sea; and the narrow continental shelves of the Beaufort Sea and the Arctic continental margins of the Canadian Arctic Archipelago and northern Greenland. The first step in this classification is an evaluation of seafloor gradients contained in a slope model that was derived from the IBCAO grid. The evaluation of this slope model, which emphasizes certain process-related seafloor features that are reflected in the bathymetric information, is subsequently used along with the bathymetry to classify the first-order physiographic provinces. The areas of the provinces so classified are individually calculated, and their morphologies are subsequently discussed in the context of the geologic evolution of the Arctic Ocean Basin as described in the published literature. In summary, this study provides a physiographic classification of the Arctic Ocean seaflooraccording to the most up-to-date bathymetric model, addresses the geologic origin of the prominent features, and provides area computations of the defined first-order physiographic provinces and of the most prominent second- order features. Text Arctic Archipelago Arctic Arctic Ocean Beaufort Sea Canadian Arctic Archipelago Chukchi Greenland Kara-Laptev laptev White Sea University of New Hampshire: Scholars Repository Arctic Arctic Ocean White Sea Canadian Arctic Archipelago Greenland |
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Open Polar |
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University of New Hampshire: Scholars Repository |
op_collection_id |
ftuninhampshire |
language |
unknown |
topic |
Arctic Ocean physiography bathymetry ocean ridges ocean basins Geology |
spellingShingle |
Arctic Ocean physiography bathymetry ocean ridges ocean basins Geology Jakobsson, Martin Grantz, Arthur Kristoffersen, Yngue Macnab, Ron Physiographic Provinces of the Arctic Ocean Seafloor |
topic_facet |
Arctic Ocean physiography bathymetry ocean ridges ocean basins Geology |
description |
The International Bathymetric Chart of the Arctic Ocean (IBCAO) grid model has been used to define the first-order physiographic provinces of the Arctic Ocean, which in this study is taken to consist of the oceanic deep Arctic Ocean Basin; the broad continental shelves of the Barents, Kara, Laptev, East Siberian, and Chukchi Seas; the White Sea; and the narrow continental shelves of the Beaufort Sea and the Arctic continental margins of the Canadian Arctic Archipelago and northern Greenland. The first step in this classification is an evaluation of seafloor gradients contained in a slope model that was derived from the IBCAO grid. The evaluation of this slope model, which emphasizes certain process-related seafloor features that are reflected in the bathymetric information, is subsequently used along with the bathymetry to classify the first-order physiographic provinces. The areas of the provinces so classified are individually calculated, and their morphologies are subsequently discussed in the context of the geologic evolution of the Arctic Ocean Basin as described in the published literature. In summary, this study provides a physiographic classification of the Arctic Ocean seaflooraccording to the most up-to-date bathymetric model, addresses the geologic origin of the prominent features, and provides area computations of the defined first-order physiographic provinces and of the most prominent second- order features. |
format |
Text |
author |
Jakobsson, Martin Grantz, Arthur Kristoffersen, Yngue Macnab, Ron |
author_facet |
Jakobsson, Martin Grantz, Arthur Kristoffersen, Yngue Macnab, Ron |
author_sort |
Jakobsson, Martin |
title |
Physiographic Provinces of the Arctic Ocean Seafloor |
title_short |
Physiographic Provinces of the Arctic Ocean Seafloor |
title_full |
Physiographic Provinces of the Arctic Ocean Seafloor |
title_fullStr |
Physiographic Provinces of the Arctic Ocean Seafloor |
title_full_unstemmed |
Physiographic Provinces of the Arctic Ocean Seafloor |
title_sort |
physiographic provinces of the arctic ocean seafloor |
publisher |
University of New Hampshire Scholars' Repository |
publishDate |
2003 |
url |
https://scholars.unh.edu/ccom/989 http://gsabulletin.gsapubs.org/content/115/12/1443.abstract?sid=803cadd6-740d-45b8-9d12-4c36a9cea823 |
geographic |
Arctic Arctic Ocean White Sea Canadian Arctic Archipelago Greenland |
geographic_facet |
Arctic Arctic Ocean White Sea Canadian Arctic Archipelago Greenland |
genre |
Arctic Archipelago Arctic Arctic Ocean Beaufort Sea Canadian Arctic Archipelago Chukchi Greenland Kara-Laptev laptev White Sea |
genre_facet |
Arctic Archipelago Arctic Arctic Ocean Beaufort Sea Canadian Arctic Archipelago Chukchi Greenland Kara-Laptev laptev White Sea |
op_source |
Center for Coastal and Ocean Mapping |
op_relation |
https://scholars.unh.edu/ccom/989 http://gsabulletin.gsapubs.org/content/115/12/1443.abstract?sid=803cadd6-740d-45b8-9d12-4c36a9cea823 |
_version_ |
1766303020272844800 |