Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS)
In this report we summarize the outcome of our research project "Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS)", which was funded by Svalbard Integrated Arctic Earth Observing System (SIOS). We evaluate a new automated monitoring technique for measuri...
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ftdatacite:10.5281/zenodo.4146834 2023-05-15T14:56:11+02:00 Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) Jentzsch, Katharina Bornemann, Niko Cable, William Gallet, Jean-Charles Lange, Stephan Westermann, Sebastian Boike, Julia 2020 https://dx.doi.org/10.5281/zenodo.4146834 https://zenodo.org/record/4146834 en eng Zenodo https://dx.doi.org/10.1594/pangaea.925350 https://dx.doi.org/10.1594/pangaea.925357 https://dx.doi.org/10.5281/zenodo.4146835 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 Snow water equivalent Snow depth Snow temperature Snow dielectric constant Text Report report 2020 ftdatacite https://doi.org/10.5281/zenodo.4146834 https://doi.org/10.1594/pangaea.925350 https://doi.org/10.1594/pangaea.925357 https://doi.org/10.5281/zenodo.4146835 2021-11-05T12:55:41Z In this report we summarize the outcome of our research project "Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS)", which was funded by Svalbard Integrated Arctic Earth Observing System (SIOS). We evaluate a new automated monitoring technique for measuring snow water equivalent (SWE) using a passive gamma ray sensor at the Bayelva site on Svalbard. Our goal is to provide high quality, continuous, near-real time data for the observation of SWE. From the new automated measurements we derive the essential climate variables of snow cover (snow height, SWE, spatial coverage) and dynamics (timing of onset and melt, wetting) and provide a unique dataset by linking existing snow datasets with the new SWE measurements. This dataset will be essential to develop and calibrate snow, permafrost and hydrologic models in this data scarce region. : This work was supported by the Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System – Knowledge Centre, operational phase. Report Arctic permafrost Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard Norway Bayelva ENVELOPE(11.898,11.898,78.933,78.933) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Snow water equivalent Snow depth Snow temperature Snow dielectric constant |
spellingShingle |
Snow water equivalent Snow depth Snow temperature Snow dielectric constant Jentzsch, Katharina Bornemann, Niko Cable, William Gallet, Jean-Charles Lange, Stephan Westermann, Sebastian Boike, Julia Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
topic_facet |
Snow water equivalent Snow depth Snow temperature Snow dielectric constant |
description |
In this report we summarize the outcome of our research project "Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS)", which was funded by Svalbard Integrated Arctic Earth Observing System (SIOS). We evaluate a new automated monitoring technique for measuring snow water equivalent (SWE) using a passive gamma ray sensor at the Bayelva site on Svalbard. Our goal is to provide high quality, continuous, near-real time data for the observation of SWE. From the new automated measurements we derive the essential climate variables of snow cover (snow height, SWE, spatial coverage) and dynamics (timing of onset and melt, wetting) and provide a unique dataset by linking existing snow datasets with the new SWE measurements. This dataset will be essential to develop and calibrate snow, permafrost and hydrologic models in this data scarce region. : This work was supported by the Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System – Knowledge Centre, operational phase. |
format |
Report |
author |
Jentzsch, Katharina Bornemann, Niko Cable, William Gallet, Jean-Charles Lange, Stephan Westermann, Sebastian Boike, Julia |
author_facet |
Jentzsch, Katharina Bornemann, Niko Cable, William Gallet, Jean-Charles Lange, Stephan Westermann, Sebastian Boike, Julia |
author_sort |
Jentzsch, Katharina |
title |
Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
title_short |
Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
title_full |
Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
title_fullStr |
Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
title_full_unstemmed |
Near real-time observations of snow water equivalent for SIOS on Svalbard – (SWESOS) |
title_sort |
near real-time observations of snow water equivalent for sios on svalbard – (swesos) |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4146834 https://zenodo.org/record/4146834 |
long_lat |
ENVELOPE(11.898,11.898,78.933,78.933) |
geographic |
Arctic Svalbard Norway Bayelva |
geographic_facet |
Arctic Svalbard Norway Bayelva |
genre |
Arctic permafrost Svalbard |
genre_facet |
Arctic permafrost Svalbard |
op_relation |
https://dx.doi.org/10.1594/pangaea.925350 https://dx.doi.org/10.1594/pangaea.925357 https://dx.doi.org/10.5281/zenodo.4146835 |
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.4146834 https://doi.org/10.1594/pangaea.925350 https://doi.org/10.1594/pangaea.925357 https://doi.org/10.5281/zenodo.4146835 |
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1766328220860284928 |