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Volume 10, issue 1 | Copyright
The Cryosphere, 10, 179-192, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Jan 2016

Research article | 20 Jan 2016

Simulated high-latitude soil thermal dynamics during the past 4 decades

S. Peng1,2, P. Ciais2, G. Krinner1, T. Wang1,2, I. Gouttevin1,3, A. D. McGuire4, D. Lawrence5, E. Burke6, X. Chen7, B. Decharme8, C. Koven9, A. MacDougall10, A. Rinke11,12, K. Saito13, W. Zhang14, R. Alkama8, T. J. Bohn15, C. Delire8, T. Hajima13, D. Ji11, D. P. Lettenmaier7, P. A. Miller14, J. C. Moore11, B. Smith14, and T. Sueyoshi16,13 S. Peng et al.
  • 1UJF–Grenoble 1/CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement (LGGE), 38041 Grenoble, France
  • 2Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
  • 3Irstea, UR HHLY, 5 rue de la Doua, CS 70077, 69626 Villeurbanne CEDEX, France
  • 4US Geological Survey, Alaska Cooperative Fish and Wildlife Research Unit, University of Alaska Fairbanks, Fairbanks, AK, USA
  • 5National Center for Atmospheric Research, Boulder, CO, USA
  • 6Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK
  • 7Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
  • 8CNRM-GAME, Unitémixte de recherche CNRS/Meteo-France (UMR 3589), 42 avCoriolis, 31057 Toulouse CEDEX, France
  • 9Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • 10School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada
  • 11College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
  • 12Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
  • 13Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan
  • 14Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
  • 15School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA
  • 16National Institute of Polar Research, Tachikawa, Tokyo, Japan

Abstract. Soil temperature (Ts) change is a key indicator of the dynamics of permafrost. On seasonal and interannual timescales, the variability of Ts determines the active-layer depth, which regulates hydrological soil properties and biogeochemical processes. On the multi-decadal scale, increasing Ts not only drives permafrost thaw/retreat but can also trigger and accelerate the decomposition of soil organic carbon. The magnitude of permafrost carbon feedbacks is thus closely linked to the rate of change of soil thermal regimes. In this study, we used nine process-based ecosystem models with permafrost processes, all forced by different observation-based climate forcing during the period 1960–2000, to characterize the warming rate of Ts in permafrost regions. There is a large spread of Ts trends at 20cm depth across the models, with trend values ranging from 0.010±0.003 to 0.031±0.005°Cyr−1. Most models show smaller increase in Ts with increasing depth. Air temperature (Tsub>a) and longwave downward radiation (LWDR) are the main drivers of Ts trends, but their relative contributions differ amongst the models. Different trends of LWDR used in the forcing of models can explain 61% of their differences in Ts trends, while trends of Ta only explain 5% of the differences in Ts trends. Uncertain climate forcing contributes a larger uncertainty in Ts trends (0.021±0.008°Cyr−1, mean±standard deviation) than the uncertainty of model structure (0.012±0.001°Cyr−1), diagnosed from the range of response between different models, normalized to the same forcing. In addition, the loss rate of near-surface permafrost area, defined as total area where the maximum seasonal active-layer thickness (ALT) is less than 3m loss rate, is found to be significantly correlated with the magnitude of the trends of Ts at 1m depth across the models (R = −0.85, P = 0.003), but not with the initial total near-surface permafrost area (R = −0.30, P = 0.438). The sensitivity of the total boreal near-surface permafrost area to Ts at 1m is estimated to be of −2.80±0.67millionkm2°C−1. Finally, by using two long-term LWDR data sets and relationships between trends of LWDR and Ts across models, we infer an observation-constrained total boreal near-surface permafrost area decrease comprising between 39±14 × 103 and 75±14 × 103km2yr−1 from 1960 to 2000. This corresponds to 9–18% degradation of the current permafrost area.

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Short summary
Soil temperature change is a key indicator of the dynamics of permafrost. Using nine process-based ecosystem models with permafrost processes, a large spread of soil temperature trends across the models. Air temperature and longwave downward radiation are the main drivers of soil temperature trends. Based on an emerging observation constraint method, the total boreal near-surface permafrost area decrease comprised between 39 ± 14 × 103 and 75 ± 14 × 103 km2 yr−1 from 1960 to 2000.
Soil temperature change is a key indicator of the dynamics of permafrost. Using nine...