Monitoring and statistical modelling of permafrost in steep slopes ofNorway

• Published in: Permafrost and Periglacial Processes
• Main Authors: Magnin, Florence, Etzelmüller, Bernd, Westermann, Sebastian, Hilger, Paula, Lussana, Cristian, Isaksen, Ketil, Hermanns, Reginald
• Other Authors: Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2018
• Subjects: Permafrost; steep slopes; Norway; statistical modelling; mapping; [SDE.ES]Environmental Sciences/Environment and Society; [SDE]Environmental Sciences; [SDE.MCG]Environmental Sciences/Global Changes; permafrost
• Online Access: https://hal.science/hal-03337531; https://hal.science/hal-03337531/document; https://hal.science/hal-03337531/file/Magnin_et_al_2018_EUCOP.pdf; https://doi.org/10.1002/ppp.1884

International audience Permafrost can become a crucial factor of steep slope stability, and knowing the distribution of permafrost in steep terrain is a prerequisite when evaluating slope stability in such areas. However, permafrost distribution in such terrain is poorly known. In this study, we present a very first effort in modelling steep slopes permafrost at the nation-scale of Norway. This study is based on a multi-years dataset of 26 rock-surface temperature measurement points covering various aspects, elevations and latitudes. These measurements allow for statistical modelling of rock surface temperature that is then used to map permafrost probability. In this presentation, we present the measurement settings, the rock surface temperature data, the modelling approach and first results of the permafrost mapping.