Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
The Cryosphere, 10, 179-192, 2016
http://www.the-cryosphere.net/10/179/2016/
doi:10.5194/tc-10-179-2016
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
20 Jan 2016
Simulated high-latitude soil thermal dynamics during the past 4 decades
S. Peng2,1, P. Ciais2, G. Krinner1, T. Wang2,1, I. Gouttevin3,1, A. D. McGuire4, D. Lawrence5, E. Burke6, X. Chen7, B. Decharme8, C. Koven9, A. MacDougall10, A. Rinke12,11, 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. Sueyoshi13,16 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 20 cm depth across the models, with trend values ranging from 0.010 ± 0.003 to 0.031 ± 0.005 °C yr−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 °C yr−1, mean ± standard deviation) than the uncertainty of model structure (0.012 ± 0.001 °C yr−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 3 m loss rate, is found to be significantly correlated with the magnitude of the trends of Ts at 1 m 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 1 m is estimated to be of −2.80 ± 0.67 million km2 °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  ×  103 km2 yr−1 from 1960 to 2000. This corresponds to 9–18 % degradation of the current permafrost area.

Citation: Peng, S., Ciais, P., Krinner, G., Wang, T., Gouttevin, I., McGuire, A. D., Lawrence, D., Burke, E., Chen, X., Decharme, B., Koven, C., MacDougall, A., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T. J., Delire, C., Hajima, T., Ji, D., Lettenmaier, D. P., Miller, P. A., Moore, J. C., Smith, B., and Sueyoshi, T.: Simulated high-latitude soil thermal dynamics during the past 4 decades, The Cryosphere, 10, 179-192, doi:10.5194/tc-10-179-2016, 2016.
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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...
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