Evaluation of air–soil temperature relationships simulated by land surfacemodels during winter across the permafrost region
Abstract
A realistic simulation of snow cover and its thermal properties are important for accurate modelling of permafrost. We analyse simulated relationships between air and near-surface (20 cm) soil temperatures in the Northern Hemisphere permafrost region during winter, with a particular focus on snow insulation effects in nine land surface models, and compare them with observations from 268 Russian stations. There are large cross-model differences in the simulated differences between near-surface soil and air temperatures (ΔT; 3 to 14 °C), in the sensitivity of soil-to-air temperature (0.13 to 0.96 °C-1), and in the relationship between Δ$$T$$ and snow depth. The observed relationship between Δ$$T$$ and snow depth can be used as a metric to evaluate the effects of each model's representation of snow insulation, hence guide improvements to the model's conceptual structure and process parameterisations. Models with better performance apply multilayer snow schemes and consider complex snow processes. Some models show poor performance in representing snow insulation due to underestimation of snow depth and/or overestimation of snow conductivity. Generally, models identified as most acceptable with respect to snow insulation simulate reasonable areas of near-surface permafrost (13.19 to 15.77 million km2). However, there is not a simple relationship between the sophistication of the snow insulation in the acceptable models and the simulated area of Northern Hemisphere near-surface permafrost, because several other factors, such as soil depth used in the models, the treatment of soil organic matter content, hydrology and vegetation cover, also affect the simulated permafrost distribution.
- Authors:
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[3];
[6];
[7];
[9];
[12];
[16]
more »
- Beijing Normal Univ. (China)
- Beijing Normal Univ. (China); Alfred Wegener Inst. Helmholtz Centre for Polar and Marine Research (AWI), Potsdam (Germany)
- French National Center for Scientific Research, Grenoble (France); Univ. Grenoble Alpes (France); Univ. of Versailles Saint-Quentin-en-Yvelines (France)
- National Center for Atmospheric Research, Boulder, CO (United States)
- Univ. of Alaska, Fairbanks, AK (United States)
- Met Office Hadley Centre, Exeter (United Kingdom)
- Univ. of Washington, Seattle, WA (United States)
- National Centre for Scientific Research (CNRS), Toulouse (France)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of Victoria, BC (Canada)
- Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan); Univ. of Alaska, Fairbanks, AK (United States)
- Lund Univ. (Sweden); ; Univ. of Copenhagen (Denmark)
- National Centre for Scientific Research (CNRS), Toulouse (France); L'Institute for Environment and Sustainablility (IES), Ispra (Italy)
- Arizona State Univ., Tempe, AZ (United States)
- Univ. of Versailles Saint-Quentin-en-Yvelines (France)
- French National Center for Scientific Research, Grenoble (France)
- Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan)
- French National Center for Scientific Research, Grenoble (France); Univ. Grenoble Alpes (France)
- Lund Univ. (Sweden)
- National Inst. of Polar Research, Tachikawa (Japan)
- World Data Centre, Obninsk (Russian Federation)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1471019
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Cryosphere (Online)
- Additional Journal Information:
- Journal Name: The Cryosphere (Online); Journal Volume: 10; Journal Issue: 4; Journal ID: ISSN 1994-0424
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Wang, Wenli, Rinke, Annette, Moore, John C., Ji, Duoying, Cui, Xuefeng, Peng, Shushi, Lawrence, David M., McGuire, A. David, Burke, Eleanor J., Chen, Xiaodong, Decharme, Bertrand, Koven, Charles, MacDougall, Andrew, Saito, Kazuyuki, Zhang, Wenxin, Alkama, Ramdane, Bohn, Theodore J., Ciais, Philippe, Delire, Christine, Gouttevin, Isabelle, Hajima, Tomohiro, Krinner, Gerhard, Lettenmaier, Dennis P., Miller, Paul A., Smith, Benjamin, Sueyoshi, Tetsuo, and Sherstiukov, Artem B. Evaluation of air–soil temperature relationships simulated by land surfacemodels during winter across the permafrost region. United States: N. p., 2016.
Web. doi:10.5194/tc-10-1721-2016.
Wang, Wenli, Rinke, Annette, Moore, John C., Ji, Duoying, Cui, Xuefeng, Peng, Shushi, Lawrence, David M., McGuire, A. David, Burke, Eleanor J., Chen, Xiaodong, Decharme, Bertrand, Koven, Charles, MacDougall, Andrew, Saito, Kazuyuki, Zhang, Wenxin, Alkama, Ramdane, Bohn, Theodore J., Ciais, Philippe, Delire, Christine, Gouttevin, Isabelle, Hajima, Tomohiro, Krinner, Gerhard, Lettenmaier, Dennis P., Miller, Paul A., Smith, Benjamin, Sueyoshi, Tetsuo, & Sherstiukov, Artem B. Evaluation of air–soil temperature relationships simulated by land surfacemodels during winter across the permafrost region. United States. https://doi.org/10.5194/tc-10-1721-2016
Wang, Wenli, Rinke, Annette, Moore, John C., Ji, Duoying, Cui, Xuefeng, Peng, Shushi, Lawrence, David M., McGuire, A. David, Burke, Eleanor J., Chen, Xiaodong, Decharme, Bertrand, Koven, Charles, MacDougall, Andrew, Saito, Kazuyuki, Zhang, Wenxin, Alkama, Ramdane, Bohn, Theodore J., Ciais, Philippe, Delire, Christine, Gouttevin, Isabelle, Hajima, Tomohiro, Krinner, Gerhard, Lettenmaier, Dennis P., Miller, Paul A., Smith, Benjamin, Sueyoshi, Tetsuo, and Sherstiukov, Artem B. Thu .
"Evaluation of air–soil temperature relationships simulated by land surfacemodels during winter across the permafrost region". United States. https://doi.org/10.5194/tc-10-1721-2016. https://www.osti.gov/servlets/purl/1471019.
@article{osti_1471019,
title = {Evaluation of air–soil temperature relationships simulated by land surfacemodels during winter across the permafrost region},
author = {Wang, Wenli and Rinke, Annette and Moore, John C. and Ji, Duoying and Cui, Xuefeng and Peng, Shushi and Lawrence, David M. and McGuire, A. David and Burke, Eleanor J. and Chen, Xiaodong and Decharme, Bertrand and Koven, Charles and MacDougall, Andrew and Saito, Kazuyuki and Zhang, Wenxin and Alkama, Ramdane and Bohn, Theodore J. and Ciais, Philippe and Delire, Christine and Gouttevin, Isabelle and Hajima, Tomohiro and Krinner, Gerhard and Lettenmaier, Dennis P. and Miller, Paul A. and Smith, Benjamin and Sueyoshi, Tetsuo and Sherstiukov, Artem B.},
abstractNote = {A realistic simulation of snow cover and its thermal properties are important for accurate modelling of permafrost. We analyse simulated relationships between air and near-surface (20 cm) soil temperatures in the Northern Hemisphere permafrost region during winter, with a particular focus on snow insulation effects in nine land surface models, and compare them with observations from 268 Russian stations. There are large cross-model differences in the simulated differences between near-surface soil and air temperatures (ΔT; 3 to 14 °C), in the sensitivity of soil-to-air temperature (0.13 to 0.96 °C-1), and in the relationship between Δ$T$ and snow depth. The observed relationship between Δ$T$ and snow depth can be used as a metric to evaluate the effects of each model's representation of snow insulation, hence guide improvements to the model's conceptual structure and process parameterisations. Models with better performance apply multilayer snow schemes and consider complex snow processes. Some models show poor performance in representing snow insulation due to underestimation of snow depth and/or overestimation of snow conductivity. Generally, models identified as most acceptable with respect to snow insulation simulate reasonable areas of near-surface permafrost (13.19 to 15.77 million km2). However, there is not a simple relationship between the sophistication of the snow insulation in the acceptable models and the simulated area of Northern Hemisphere near-surface permafrost, because several other factors, such as soil depth used in the models, the treatment of soil organic matter content, hydrology and vegetation cover, also affect the simulated permafrost distribution.},
doi = {10.5194/tc-10-1721-2016},
journal = {The Cryosphere (Online)},
number = 4,
volume = 10,
place = {United States},
year = {Thu Aug 11 00:00:00 EDT 2016},
month = {Thu Aug 11 00:00:00 EDT 2016}
}
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Figures / Tables:
Figure 1: Variation of ΔT (°C), the difference between soil temperature at 20 cm depth and air temperature with snow depth (cm) for winter 1980–2000. The dots represent the medians of 5 cm snow depth bins and the upper and lower bars indicate the 25th and 75th percentiles, calculated frommore »
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Works referencing / citing this record:
Uncertainties in coupled regional Arctic climate simulations associated with the used land surface model: Atmosphere and Permafrost in HIRHAM5-CLM4
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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.