Pressure and Inertial sensing drifter data for glacial hydrology flow path.
Raw data for paper titled 'Topology and pressure distribution reconstruction of an englacial channel' The dataset consists of field measurements conducted on Austre Brøggerbreen, Ny-Ålesund, Svalbard. The dataset consists of: (1)Raw englacial data (6 deployments), 2019; (2) Raw supraglacia...
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ftdatacite:10.5281/zenodo.4462824 2023-05-15T15:00:32+02:00 Pressure and Inertial sensing drifter data for glacial hydrology flow path. Alexander, Andreas Kruusmaa, Maarja Piho, Laura 2021 https://dx.doi.org/10.5281/zenodo.4462824 https://zenodo.org/record/4462824 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4462823 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.4462824 https://doi.org/10.5281/zenodo.4462823 2021-11-05T12:55:41Z Raw data for paper titled 'Topology and pressure distribution reconstruction of an englacial channel' The dataset consists of field measurements conducted on Austre Brøggerbreen, Ny-Ålesund, Svalbard. The dataset consists of: (1)Raw englacial data (6 deployments), 2019; (2) Raw supraglacial data (11 deployments), 2019; (3) Average GNSS drifter path along the supraglacial channel, 2019; (4) GNSS drifter path along the englacial channel, 2020; (5) Englacial river mapped from a satellite image. The experimental work was conducted between 30.06.2019 and 05.07.2019, during the period of the main spring snow melt. All drifters were recovered by hand from the river. : The fieldwork for this project was funded by the H2020 INTERACT Transnational Access project DeepSense 2019, University of Oslo Industrial Liason, University of Oslo Garpen Stipend, the Department of Geosciences University of Oslo, the Research Council of Norway funded MAMMAMIA project (grant number 301837 MAMMAMIA: Multi-scale multi-method analysis of mechanisms causing ice acceleration) and the Svalbard Environmental protection fund (17/31). This research was further funded by the European Research Council (grant no. ICEMASS) and the Research Council of Norway (grant no. 223254 – NTNU AMOS). The 2020 englacial channel data is from the fieldwork conducted in summer 2020, which was funded by the Research Council of Norway via an Arctic Field Grant to AA (Dynamics of glacial channels, RiS ID 11423). This study is a contribution to the Svalbard Integrated Arctic Earth Observating System (SIOS). We acknowledge support from the team of the NPI Sverdrup station, particularly Vera Sklet, during the fieldwork. Asko Ristolainen and Astrid Tesaker helped during the 2020 field campaign. The drifters used in this study were originally designed by Jeffrey A. Tuhtan and Juan Francisco Fuentes-Perez. Dataset Arctic Ny Ålesund Ny-Ålesund Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard Ny-Ålesund Norway Perez ENVELOPE(-69.117,-69.117,-68.517,-68.517) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
Raw data for paper titled 'Topology and pressure distribution reconstruction of an englacial channel' The dataset consists of field measurements conducted on Austre Brøggerbreen, Ny-Ålesund, Svalbard. The dataset consists of: (1)Raw englacial data (6 deployments), 2019; (2) Raw supraglacial data (11 deployments), 2019; (3) Average GNSS drifter path along the supraglacial channel, 2019; (4) GNSS drifter path along the englacial channel, 2020; (5) Englacial river mapped from a satellite image. The experimental work was conducted between 30.06.2019 and 05.07.2019, during the period of the main spring snow melt. All drifters were recovered by hand from the river. : The fieldwork for this project was funded by the H2020 INTERACT Transnational Access project DeepSense 2019, University of Oslo Industrial Liason, University of Oslo Garpen Stipend, the Department of Geosciences University of Oslo, the Research Council of Norway funded MAMMAMIA project (grant number 301837 MAMMAMIA: Multi-scale multi-method analysis of mechanisms causing ice acceleration) and the Svalbard Environmental protection fund (17/31). This research was further funded by the European Research Council (grant no. ICEMASS) and the Research Council of Norway (grant no. 223254 – NTNU AMOS). The 2020 englacial channel data is from the fieldwork conducted in summer 2020, which was funded by the Research Council of Norway via an Arctic Field Grant to AA (Dynamics of glacial channels, RiS ID 11423). This study is a contribution to the Svalbard Integrated Arctic Earth Observating System (SIOS). We acknowledge support from the team of the NPI Sverdrup station, particularly Vera Sklet, during the fieldwork. Asko Ristolainen and Astrid Tesaker helped during the 2020 field campaign. The drifters used in this study were originally designed by Jeffrey A. Tuhtan and Juan Francisco Fuentes-Perez. |
format |
Dataset |
author |
Alexander, Andreas Kruusmaa, Maarja Piho, Laura |
spellingShingle |
Alexander, Andreas Kruusmaa, Maarja Piho, Laura Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
author_facet |
Alexander, Andreas Kruusmaa, Maarja Piho, Laura |
author_sort |
Alexander, Andreas |
title |
Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
title_short |
Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
title_full |
Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
title_fullStr |
Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
title_full_unstemmed |
Pressure and Inertial sensing drifter data for glacial hydrology flow path. |
title_sort |
pressure and inertial sensing drifter data for glacial hydrology flow path. |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.4462824 https://zenodo.org/record/4462824 |
long_lat |
ENVELOPE(-69.117,-69.117,-68.517,-68.517) |
geographic |
Arctic Svalbard Ny-Ålesund Norway Perez |
geographic_facet |
Arctic Svalbard Ny-Ålesund Norway Perez |
genre |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
op_relation |
https://dx.doi.org/10.5281/zenodo.4462823 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4462824 https://doi.org/10.5281/zenodo.4462823 |
_version_ |
1766332630358294528 |