Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2010-2021

• Main Authors: Beutel, Jan, Biri, Andreas, Buchli, Ben, Cicoira, Alessandro, Delaloye, Reynald, Da Forno, Reto, Gaertner-Roer, Isabelle, Gruber, Stephan, Gsell, Tonio, Hasler, Andreas, Lim, Roman, Limpach, Philippe, Mayoraz, Raphael, Meyer, Matthias, Noetzli, Jeannette, Phillips, Marcia, Pointner, Eric, Raetzo, Hugo, Scapozza, Cristian, Strozzi, Tazio, Thiele, Lothar, Vieli, Andreas, Vonder Muehll, Daniel, Weber, Samuel, Wirz, Vanessa
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps; permafrost
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.948334; https://doi.org/10.1594/PANGAEA.948334

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 meter a.s.l and comprises 229'669 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. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch.