Abstract

Abstract. Thawing of permafrost in a warming climate is governed by a complex interplay of different processes of which only conductive heat transfer is taken into account in most model studies. However, observations in many permafrost landscapes demonstrate that lateral and vertical movement of water can have a pronounced influence on the thaw trajectories, creating distinct landforms, such as thermokarst ponds and lakes, even in areas where permafrost is otherwise thermally stable. Novel process parameterizations are required to include such phenomena in future projections of permafrost thaw and subsequent climatic-triggered feedbacks. In this study, we present a new land-surface scheme designed for permafrost applications, CryoGrid 3, which constitutes a flexible platform to explore new parameterizations for a range of permafrost processes. We document the model physics and employed parameterizations for the basis module CryoGrid 3, and compare model results with in situ observations of surface energy balance, surface temperatures, and ground thermal regime from the Samoylov permafrost observatory in NE Siberia. The comparison suggests that CryoGrid 3 can not only model the evolution of the ground thermal regime in the last decade, but also consistently reproduce the chain of energy transfer processes from the atmosphere to the ground. In addition, we demonstrate a simple 1-D parameterization for thaw processes in permafrost areas rich in ground ice, which can phenomenologically reproduce both formation of thermokarst ponds and subsidence of the ground following thawing of ice-rich subsurface layers. Long-term simulation from 1901 to 2100 driven by reanalysis data and climate model output demonstrate that the hydrological regime can both accelerate and delay permafrost thawing. If meltwater from thawed ice-rich layers can drain, the ground subsides, as well as the formation of a talik, are delayed. If the meltwater pools at the surface, a pond is formed that enhances heat transfer in the ground and leads to the formation of a talik. The model results suggest that the trajectories of future permafrost thaw are strongly influenced by the cryostratigraphy, as determined by the late Quaternary history of a site.

Highlights

  • In the past decade, the fate of permafrost areas in a changing climate has rapidly moved into the focus of climate researchers

  • Thawing of permafrost in a warming climate is governed by a complex interplay of different processes of which only conductive heat transfer is taken into account in most model studies

  • As in CryoGrid 2, the energy transfer in the ground is governed by heat conduction and freeze–thaw processes, while the soil water balance is not explicitly accounted for, i.e., the sums of soil water and ice contents are constant in time for each soil layer

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Summary

Introduction

The fate of permafrost areas in a changing climate has rapidly moved into the focus of climate researchers. There are two main directions in permafrost modeling on larger spatial scales: dedicated ground thermal models focus on the physical variables characterizing the state of the permafrost, and have been successfully applied to map permafrost distribution (e.g., Gisnås et al, 2013; Zhang, 2013; Zhang et al, 2013; Westermann et al, 2013; Fiddes et al, 2015) and derive the ground temperature evolution for past and future climate conditions (e.g., Zhang et al, 2008; Jafarov et al, 2012) They are characterized by vertical modeling domains of one hundred to several hundred meters with a vertical resolution of centimeters within the active layer. To illustrate the potential of the model scheme, we implement simple parameterizations for ground subsidence and initial thermokarst formation and demonstrate the effect on future simulations of the ground thermal regime for a permafrost site in NE Siberia

CryoGrid 3 – model description
Driving variables
The surface energy balance
Surface energy balance of snow
Subsurface heat transfer
Energy transfer and mass balance of the snowpack
Time integration
The Lena River delta
The Samoylov permafrost observatory
CryoGrid 3 runs for the Lena River delta
Model forcing data
Comparison to in situ data for Samoylov Island
Long-term thaw susceptibility runs with CryoGrid 3 Xice
Discussion and outlook
Comparison to field and model studies on ground subsidence
Findings
Threshold behavior and metastable states in permafrost systems?
Conclusions
Full Text
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