Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic
Bringing together geophysical and geological data sets in a dynamic 3D-environment can greatly enhance our ability to comprehend earth processes. The relationship between, for example, seafloor topography and measured gravity anomalies can easily be visualized as well as the distribution of magnetic...
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ftuninhampshire:oai:scholars.unh.edu:ccom-1557 2023-05-15T14:51:14+02:00 Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic Jakobsson, Martin 2002-12-01T08:00:00Z https://scholars.unh.edu/ccom/557 http://abstractsearch.agu.org/meetings/2002/FM/U52A-06.html unknown University of New Hampshire Scholars' Repository https://scholars.unh.edu/ccom/557 http://abstractsearch.agu.org/meetings/2002/FM/U52A-06.html Center for Coastal and Ocean Mapping Computer Sciences Geology Geophysics and Seismology Oceanography and Atmospheric Sciences and Meteorology text 2002 ftuninhampshire 2023-01-30T21:32:51Z Bringing together geophysical and geological data sets in a dynamic 3D-environment can greatly enhance our ability to comprehend earth processes. The relationship between, for example, seafloor topography and measured gravity anomalies can easily be visualized as well as the distribution of magnetic anomalies in oceanic crust and their varying offset due to seafloor spreading. In this presentation the gravity derived from ERS-1 satellite altimetry by Laxon and McAdoo (1994) and the magnetic compilation by Verhoef et al. (1996) of the Arctic Ocean is co-registered with the International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry and brought into a dynamic 3D-environment for visualization and analysis. This exercise provides information of great value when we address the geologic origin of the Arctic Ocean physiographic provinces. Furthermore, since the ERS-1 gravity and IBCAO bathymetry are two entirely unrelated datasets the gravity may also be used for validating seafloor features seen in the IBCAO compilation that are based on sparse data. For instance, at the eastern most end of the Gakkel Ridge Axial Valley the IBCAO bathymetry is based on digitized contour information from a Russian bathymetric map published in 1999 by the Russian Federation's Head Department of Navigation and Oceanography (HDNO) with no available trackline sources. In the bathymetry, the Axial Valley is clearly seen to continue towards the continental slope of the Laptev Sea and this continuation is supported by the ERS-1 gravity. Another example of bringing together geological and geophysical data sets is from northern Russia, where huge ice lakes were dammed by the Early Weichselian ice sheet at about 90 000 years ago (Mangerud et al., 2001). The damming resulted from blocking the Russian north flowing rivers, supplying most of the fresh water to the Arctic Ocean, by the Ice Sheet margin. These proglacial lakes are reconstructed in our dynamic 3D-environment based on field data from lake shorelines, the Early Wheichselian ... Text Arctic Arctic Ocean Ice Sheet laptev Laptev Sea Russian North University of New Hampshire: Scholars Repository Arctic Arctic Ocean Laptev Sea Gakkel Ridge ENVELOPE(90.000,90.000,87.000,87.000) Ice Lakes ENVELOPE(-131.345,-131.345,60.413,60.413) |
institution |
Open Polar |
collection |
University of New Hampshire: Scholars Repository |
op_collection_id |
ftuninhampshire |
language |
unknown |
topic |
Computer Sciences Geology Geophysics and Seismology Oceanography and Atmospheric Sciences and Meteorology |
spellingShingle |
Computer Sciences Geology Geophysics and Seismology Oceanography and Atmospheric Sciences and Meteorology Jakobsson, Martin Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
topic_facet |
Computer Sciences Geology Geophysics and Seismology Oceanography and Atmospheric Sciences and Meteorology |
description |
Bringing together geophysical and geological data sets in a dynamic 3D-environment can greatly enhance our ability to comprehend earth processes. The relationship between, for example, seafloor topography and measured gravity anomalies can easily be visualized as well as the distribution of magnetic anomalies in oceanic crust and their varying offset due to seafloor spreading. In this presentation the gravity derived from ERS-1 satellite altimetry by Laxon and McAdoo (1994) and the magnetic compilation by Verhoef et al. (1996) of the Arctic Ocean is co-registered with the International Bathymetric Chart of the Arctic Ocean (IBCAO) bathymetry and brought into a dynamic 3D-environment for visualization and analysis. This exercise provides information of great value when we address the geologic origin of the Arctic Ocean physiographic provinces. Furthermore, since the ERS-1 gravity and IBCAO bathymetry are two entirely unrelated datasets the gravity may also be used for validating seafloor features seen in the IBCAO compilation that are based on sparse data. For instance, at the eastern most end of the Gakkel Ridge Axial Valley the IBCAO bathymetry is based on digitized contour information from a Russian bathymetric map published in 1999 by the Russian Federation's Head Department of Navigation and Oceanography (HDNO) with no available trackline sources. In the bathymetry, the Axial Valley is clearly seen to continue towards the continental slope of the Laptev Sea and this continuation is supported by the ERS-1 gravity. Another example of bringing together geological and geophysical data sets is from northern Russia, where huge ice lakes were dammed by the Early Weichselian ice sheet at about 90 000 years ago (Mangerud et al., 2001). The damming resulted from blocking the Russian north flowing rivers, supplying most of the fresh water to the Arctic Ocean, by the Ice Sheet margin. These proglacial lakes are reconstructed in our dynamic 3D-environment based on field data from lake shorelines, the Early Wheichselian ... |
format |
Text |
author |
Jakobsson, Martin |
author_facet |
Jakobsson, Martin |
author_sort |
Jakobsson, Martin |
title |
Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
title_short |
Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
title_full |
Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
title_fullStr |
Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
title_full_unstemmed |
Dynamic 3D Visualization of Merged Geophysical and Geological Data Sets from the Arctic |
title_sort |
dynamic 3d visualization of merged geophysical and geological data sets from the arctic |
publisher |
University of New Hampshire Scholars' Repository |
publishDate |
2002 |
url |
https://scholars.unh.edu/ccom/557 http://abstractsearch.agu.org/meetings/2002/FM/U52A-06.html |
long_lat |
ENVELOPE(90.000,90.000,87.000,87.000) ENVELOPE(-131.345,-131.345,60.413,60.413) |
geographic |
Arctic Arctic Ocean Laptev Sea Gakkel Ridge Ice Lakes |
geographic_facet |
Arctic Arctic Ocean Laptev Sea Gakkel Ridge Ice Lakes |
genre |
Arctic Arctic Ocean Ice Sheet laptev Laptev Sea Russian North |
genre_facet |
Arctic Arctic Ocean Ice Sheet laptev Laptev Sea Russian North |
op_source |
Center for Coastal and Ocean Mapping |
op_relation |
https://scholars.unh.edu/ccom/557 http://abstractsearch.agu.org/meetings/2002/FM/U52A-06.html |
_version_ |
1766322284615696384 |