Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2011-2020

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...

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Bibliographic Details
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 Mühll, Daniel, Weber, Samuel, Wirz, Vanessa
Format: Dataset
Language:English
Published: PANGAEA 2021
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.932761
https://doi.org/10.1594/PANGAEA.932761
Description
Summary: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 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.

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