the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modelling the spatial pattern of ground thaw in a small basin in the arctic tundra
Abstract. In the arctic tundra the ground is normally composed by a relatively thin organic soil layer, overlying mineral sediment. Subsurface water drainage generally occurs in the organic layer for its high hydraulic conductivity. However, the organic layer shows significant decrease of hydraulic conductivity with depth. The position and the topography of the frost table, which here acts as a relatively impermeable surface, are therefore crucial in determining the hillslope drainage rate. This work aims at understanding how the topography of the ground surface affects the spatial variability of the depth of thaw in a 1 km2 low-elevation arctic tundra basin with a fine resolution model that fully couples energy and water flow processes. The simulations indicate that the spatial patterns of ground thaw are not dominated by slope and aspect, but are instead entirely controlled by the spatial distribution of soil moisture, which is determined by subsurface flow patterns. Measured thaw depths have a similar range of variability to the simulated values for each stage of active layer development, although the model slightly overestimated the depth of thaw.
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SC C154: 'Referee comment', Julia Boike, 16 Mar 2011
- AC C1006: 'Answers to comments by Julia Boike', Stefano Endrizzi, 29 Sep 2011
- RC C178: 'Referee Comment', Anonymous Referee #1, 24 Mar 2011
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SC C154: 'Referee comment', Julia Boike, 16 Mar 2011
- AC C1006: 'Answers to comments by Julia Boike', Stefano Endrizzi, 29 Sep 2011
- RC C178: 'Referee Comment', Anonymous Referee #1, 24 Mar 2011
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Cited
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- A robust and energy-conserving model of freezing variably-saturated soil M. Dall'Amico et al. 10.5194/tc-5-469-2011
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- Simulation of Active Layer Dynamics, Upper Kolyma, Russia, using the Hydrograph Hydrological Model L. Lebedeva et al. 10.1002/ppp.1821
- Derivation and analysis of a high-resolution estimate of global permafrost zonation S. Gruber 10.5194/tc-6-221-2012
- Modeling the impact of wintertime rain events on the thermal regime of permafrost S. Westermann et al. 10.5194/tc-5-945-2011
- GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects S. Endrizzi et al. 10.5194/gmd-7-2831-2014
- Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture S. Zwieback et al. 10.1029/2018WR023247