Hydrographic data from sensor-tagged seals, Greenland, 2014-2019
This project involves a marine-mammal sensor-tagging approach that will allow for sustained oceanographic observations along the periphery of the Greenland Ice Sheet. This effort is motivated by a successful pilot project involving ringed seals in two Greenland fjords. The pilot proved the viability...
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Arctic Data Center
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ftdatacite:10.18739/a2nv99b1s 2023-05-15T15:00:57+02:00 Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 Holland, David Holland, Denise 2020 text/xml https://dx.doi.org/10.18739/a2nv99b1s https://arcticdata.io/catalog/view/doi:10.18739/A2NV99B1S en eng Arctic Data Center seal tag Greenland hydrographic data dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2nv99b1s 2021-11-05T12:55:41Z This project involves a marine-mammal sensor-tagging approach that will allow for sustained oceanographic observations along the periphery of the Greenland Ice Sheet. This effort is motivated by a successful pilot project involving ringed seals in two Greenland fjords. The pilot proved the viability of the technique, which makes use of ringed seals who spend the majority of their time in such fjords and who may be appropriately equipped with integrated, location-tracking, conductivity-temperature-depth (CTD), and satellite communication instrumentation. The observations, which will be collected in partnership with colleagues at the Greenland Institute of Natural Resources, will be archived in national databases, on a project website, and made widely available to others in near real-time. This project will address a currently missing, critical component of the Arctic Observing Network, namely observations of ocean temperatures and salinities along the periphery of the Greenland Ice Sheet. The methodology will lead to a practical, sustainable data stream for hydrographic properties in the notoriously difficult to access regions of the Greenland inner fjords, thus further filling out the overall Arctic Observing Network data portfolio. Such observations are needed to develop improved physics that can subsequently be directly used in Intergovernmental Panel on Climate Change (IPCC) class, coupled climate models. The data collection will also be of immense value to researchers studying the behavior of the ringed seals in Greenland. Virtually no behavioral data exists for these seals in the ice-ocean fjords, and the project data can be used to learn about the habitat and distribution of the seals, and ultimately of their possible vulnerability to climate change. An interactive project display is also available here: http://sealproject.herokuapp.com/ Dataset Arctic Climate change Greenland Greenland Institute of Natural Resources Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Arctic Greenland |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
English |
topic |
seal tag Greenland hydrographic data |
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seal tag Greenland hydrographic data Holland, David Holland, Denise Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
topic_facet |
seal tag Greenland hydrographic data |
description |
This project involves a marine-mammal sensor-tagging approach that will allow for sustained oceanographic observations along the periphery of the Greenland Ice Sheet. This effort is motivated by a successful pilot project involving ringed seals in two Greenland fjords. The pilot proved the viability of the technique, which makes use of ringed seals who spend the majority of their time in such fjords and who may be appropriately equipped with integrated, location-tracking, conductivity-temperature-depth (CTD), and satellite communication instrumentation. The observations, which will be collected in partnership with colleagues at the Greenland Institute of Natural Resources, will be archived in national databases, on a project website, and made widely available to others in near real-time. This project will address a currently missing, critical component of the Arctic Observing Network, namely observations of ocean temperatures and salinities along the periphery of the Greenland Ice Sheet. The methodology will lead to a practical, sustainable data stream for hydrographic properties in the notoriously difficult to access regions of the Greenland inner fjords, thus further filling out the overall Arctic Observing Network data portfolio. Such observations are needed to develop improved physics that can subsequently be directly used in Intergovernmental Panel on Climate Change (IPCC) class, coupled climate models. The data collection will also be of immense value to researchers studying the behavior of the ringed seals in Greenland. Virtually no behavioral data exists for these seals in the ice-ocean fjords, and the project data can be used to learn about the habitat and distribution of the seals, and ultimately of their possible vulnerability to climate change. An interactive project display is also available here: http://sealproject.herokuapp.com/ |
format |
Dataset |
author |
Holland, David Holland, Denise |
author_facet |
Holland, David Holland, Denise |
author_sort |
Holland, David |
title |
Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
title_short |
Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
title_full |
Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
title_fullStr |
Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
title_full_unstemmed |
Hydrographic data from sensor-tagged seals, Greenland, 2014-2019 |
title_sort |
hydrographic data from sensor-tagged seals, greenland, 2014-2019 |
publisher |
Arctic Data Center |
publishDate |
2020 |
url |
https://dx.doi.org/10.18739/a2nv99b1s https://arcticdata.io/catalog/view/doi:10.18739/A2NV99B1S |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Climate change Greenland Greenland Institute of Natural Resources Ice Sheet |
genre_facet |
Arctic Climate change Greenland Greenland Institute of Natural Resources Ice Sheet |
op_doi |
https://doi.org/10.18739/a2nv99b1s |
_version_ |
1766332997667127296 |