A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)
<p>The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines and started in 2006 with the goals of realizing observations that previously have not been possible. Specifically, the aims are to obtain measurements in unprecedented quantity and...
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Copernicus Publications
2019-08-01
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Series: | Earth System Science Data |
Online Access: | https://www.earth-syst-sci-data.net/11/1203/2019/essd-11-1203-2019.pdf |
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doaj-f4159cb5f738450b9bda96a2faf50ec0 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Weber S. Weber S. Weber J. Beutel R. Da Forno A. Geiger S. Gruber T. Gsell A. Hasler M. Keller R. Lim P. Limpach M. Meyer I. Talzi L. Thiele C. Tschudin A. Vieli D. Vonder Mühll M. Yücel |
spellingShingle |
S. Weber S. Weber S. Weber J. Beutel R. Da Forno A. Geiger S. Gruber T. Gsell A. Hasler M. Keller R. Lim P. Limpach M. Meyer I. Talzi L. Thiele C. Tschudin A. Vieli D. Vonder Mühll M. Yücel A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) Earth System Science Data |
author_facet |
S. Weber S. Weber S. Weber J. Beutel R. Da Forno A. Geiger S. Gruber T. Gsell A. Hasler M. Keller R. Lim P. Limpach M. Meyer I. Talzi L. Thiele C. Tschudin A. Vieli D. Vonder Mühll M. Yücel |
author_sort |
S. Weber |
title |
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) |
title_short |
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) |
title_full |
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) |
title_fullStr |
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) |
title_full_unstemmed |
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH) |
title_sort |
decade of detailed observations (2008–2018) in steep bedrock permafrost at the matterhorn hörnligrat (zermatt, ch) |
publisher |
Copernicus Publications |
series |
Earth System Science Data |
issn |
1866-3508 1866-3516 |
publishDate |
2019-08-01 |
description |
<p>The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines and started in 2006 with the goals of realizing observations that previously have not been possible. Specifically, the aims are to obtain measurements in unprecedented quantity and quality based on technological advances. This paper describes a unique >10-year data record obtained from in situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland, at 3500 <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow class="unit"><mi mathvariant="normal">m</mi><mspace linebreak="nobreak" width="0.125em"/><mi mathvariant="normal">a</mi><mo>.</mo><mi mathvariant="normal">s</mi><mo>.</mo><mi mathvariant="normal">l</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="33pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="104a84ae96aaa5c994357986e678459b"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-11-1203-2019-ie00001.svg" width="33pt" height="10pt" src="essd-11-1203-2019-ie00001.png"/></svg:svg></span></span>. Through the utilization of state-of-the-art wireless sensor technology it was possible to obtain more data of higher quality, make these data available in near real time and tightly monitor and control the running experiments. This data set (<a href="https://doi.org/10.1594/PANGAEA.897640">https://doi.org/10.1594/PANGAEA.897640</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx92">Weber et al.</a>, <a href="#bib1.bibx92">2019</a><a href="#bib1.bibx92">a</a></span>) constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over a period of 10 or more years. By documenting and sharing these data in this form we contribute to making our past research reproducible and facilitate future research based on these data, e.g., in the areas of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. Finally, the cross-validation of four different data types clearly indicates the dominance of thawing-related kinematics.</p> |
url |
https://www.earth-syst-sci-data.net/11/1203/2019/essd-11-1203-2019.pdf |
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doaj-f4159cb5f738450b9bda96a2faf50ec02020-11-25T02:03:07ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162019-08-01111203123710.5194/essd-11-1203-2019A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)S. Weber0S. Weber1S. Weber2J. Beutel3R. Da Forno4A. Geiger5S. Gruber6T. Gsell7A. Hasler8M. Keller9R. Lim10P. Limpach11M. Meyer12I. Talzi13L. Thiele14C. Tschudin15A. Vieli16D. Vonder Mühll17M. Yücel18Department of Geography, University of Zurich, Zurich, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandChair of Landslide Research, Technical University of Munich, Munich, GermanyComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandInstitute of Geodesy and Photogrammetry, ETH Zurich, Zurich, SwitzerlandDepartment of Geography and Environmental Studies, Carleton University, Ottawa, CanadaComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandSensAlpin GmbH, Davos, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandInstitute of Geodesy and Photogrammetry, ETH Zurich, Zurich, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandComputer Science Department, University of Basel, Basel, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, SwitzerlandComputer Science Department, University of Basel, Basel, SwitzerlandDepartment of Geography, University of Zurich, Zurich, SwitzerlandSystemsX.ch Management Office, ETH Zurich, Zurich, SwitzerlandComputer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland<p>The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines and started in 2006 with the goals of realizing observations that previously have not been possible. Specifically, the aims are to obtain measurements in unprecedented quantity and quality based on technological advances. This paper describes a unique >10-year data record obtained from in situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland, at 3500 <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow class="unit"><mi mathvariant="normal">m</mi><mspace linebreak="nobreak" width="0.125em"/><mi mathvariant="normal">a</mi><mo>.</mo><mi mathvariant="normal">s</mi><mo>.</mo><mi mathvariant="normal">l</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="33pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="104a84ae96aaa5c994357986e678459b"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-11-1203-2019-ie00001.svg" width="33pt" height="10pt" src="essd-11-1203-2019-ie00001.png"/></svg:svg></span></span>. Through the utilization of state-of-the-art wireless sensor technology it was possible to obtain more data of higher quality, make these data available in near real time and tightly monitor and control the running experiments. This data set (<a href="https://doi.org/10.1594/PANGAEA.897640">https://doi.org/10.1594/PANGAEA.897640</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx92">Weber et al.</a>, <a href="#bib1.bibx92">2019</a><a href="#bib1.bibx92">a</a></span>) constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over a period of 10 or more years. By documenting and sharing these data in this form we contribute to making our past research reproducible and facilitate future research based on these data, e.g., in the areas of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. Finally, the cross-validation of four different data types clearly indicates the dominance of thawing-related kinematics.</p>https://www.earth-syst-sci-data.net/11/1203/2019/essd-11-1203-2019.pdf |