Soil moisture data for the validation of permafrost models using direct and indirect measurement approaches at three alpine sites

• Published in: Frontiers in Earth Science
• Main Authors: Cécile ePellet, Christin eHilbich, Antoine eMarmy, Christian eHauck
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2016
• Subjects: soil moisture; Electrical resistivity tomography (ERT); Mountain permafrost; Permafrost modelling; Four-phase model; Science; Q; Ice; permafrost
• Online Access: https://doi.org/10.3389/feart.2015.00091; https://doaj.org/article/32e8d0a162ba40a59654ad60882e5172

In regions affected by seasonal and permanently frozen conditions soil moisture influences the thermal regime of the ground as well as its ice content, which is one of the main factors controlling the sensitivity of mountain permafrost to climate changes. In this study, several well established soil moisture monitoring techniques were combined with data from geophysical measurements to assess the spatial distribution and temporal evolution of soil moisture at three high elevation sites with different ground properties and thermal regimes. The observed temporal evolution of measured soil moisture is characteristic for sites with seasonal freeze/thaw cycles and consistent with the respective site-specific properties, demonstrating the general applicability of continuous monitoring of soil moisture at high elevation areas. The obtained soil moisture data were then used for the calibration and validation of two different model approaches in permafrost research in order to characterize the lateral and vertical distribution of ice content in the ground. Calibration of the geophysically based four-phase model (4PM) with spatially distributed soil moisture data yielded satisfactory two dimensional distributions of water-, ice- and air content. Similarly, soil moisture time series significantly improved the calibration of the one-dimensional heat and mass transfer model COUP, yielding physically consistent soil moisture and temperature data matching observations at different depths.