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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 5
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Sep 2017

Research article | 06 Sep 2017

Coupled land surface–subsurface hydrogeophysical inverse modeling to estimate soil organic carbon content and explore associated hydrological and thermal dynamics in the Arctic tundra

Anh Phuong Tran et al.
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Cited articles  
Archie, G. E.: The electrical resistivity log as an aid in determining some reservoir characteristics, Society of Petroleum Engineers, T. AIME, 146, 54–62, 1942.
Arcone, S. A., Lawson, D. E., Delaney, A. J., Strasser, J. C., and Strasser, J. D.: Ground-penetrating radar reflection profiling of groundwater and bedrock in an area of discontinuous permafrost, Geophysics, 63, 1573–1584, 1998.
Busch, S., Weihermüller, L., Huisman, J. A., Steelman, C. M., Endres, A. L., Vereecken, H., and Kruk, J.: Coupled hydrogeophysical inversion of time-lapse surface GPR data to estimate hydraulic properties of a layered subsurface, Water Resour. Res., 49, 8480–8494, 2013.
Camporese, M., Cassiani, G., Deiana, R., Salandin, P., and Binley, A.: Coupled and uncoupled hydrogeophysical inversions using ensemble Kalman filter assimilation of ERT-monitored tracer test data, Water Resour. Res., 51, 3277–3291, 2015.
Chen, A., Parsekian, A. D., Schaefer, K., Jafarov, E., Panda, S., Liu, L., Zhang, T., and Zebker, H.: Ground-penetrating radar-derived measurements of active-layer thickness on the landscape scale with sparse calibration at toolik and happy valley, Alaska, Geophysics, 81, H9–H19, 2016.
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Short summary
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global warming in permafrost regions are particularly important for the prediction of future climate variation. Our study proposes a new surface–subsurface, joint deterministic–stochastic hydrological–thermal–geophysical inversion approach and documents the benefit of including multiple types of data to estimate the vertical profile of SOC content and its influence on hydrological–thermal dynamics.
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global...
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