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Kinematic observations of the mountain cryosphere using in-situ GNSS instruments.

Authors :
Beutel, Jan
Biri, Andreas
Buchli, Ben
Cicoira, Alessandro
Delaloye, Reynald
Forno, Reto Da
Gaertner-Roer, Isabelle
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Lim, Roman
Limpach, Phillipe
Mayoraz, Raphael
Meyer, Matthias
Noetzli, Jeannette
Phillips, Marcia
Pointner, Eric
Raetzo, Hugo
Scapoza, Cristian
Strozzi, Tazio
Source :
Earth System Science Data Discussions; 6/11/2021, p1-40, 40p
Publication Year :
2021

Abstract

Permafrost warming is coinciding with accelerated mass movements, talking place especially in steep, mountainous topography. While this observation is backed up by evidence and analysis of both remote sensing as well as repeat terrestrial surveys undertaken since decades much knowledge is to be gained about the specific details, the variability and the processes governing these mass movements in the mountain cryosphere. This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 m a.s.l and comprises 209’948 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. To date this dataset has seen numerous use cases in research as well as natural-hazard mitigation and adaptation due to climate change. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Database :
Complementary Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
150883016
Full Text :
https://doi.org/10.5194/essd-2021-176