globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-10-1721-2016
Scopus记录号: 2-s2.0-84982132334
论文题名:
Evaluation of air-soil temperature relationships simulated by land surface models during winter across the permafrost region
作者: Wang W; , Rinke A; , Moore J; C; , Ji D; , Cui X; , Peng S; , Lawrence D; M; , McGuire A; D; , Burke E; J; , Chen X; , Decharme B; , Koven C; , MacDougall A; , Saito K; , Zhang W; , Alkama R; , Bohn T; J; , Ciais P; , Delire C; , Gouttevin I; , Hajima T; , Krinner G; , Lettenmaier D; P; , Miller P; A; , Smith B; , Sueyoshi T; , Sherstiukov A; B
刊名: Cryosphere
ISSN: 19940416
出版年: 2016
卷: 10, 期:4
起始页码: 1721
结束页码: 1737
语种: 英语
英文关键词: air temperature ; insulation ; land surface ; Northern Hemisphere ; performance assessment ; permafrost ; snow cover ; soil depth ; soil organic matter ; soil temperature ; temperature gradient ; vegetation cover ; winter
英文摘要: 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 °C-1), and in the relationship between ΔT and snow depth. The observed relationship between ΔT 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. © Author(s) 2016.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75099
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), Potsdam, Germany; School of System Science, Beijing Normal University, Beijing, China; Laboratory of Glaciology, French National Center for Scientific Research, Grenoble, France; National Center for Atmospheric Research, Boulder, United States; US Geological Survey, Alaska Cooperative Fish and Wildlife Research Unit, University of Alaska Fairbanks, Fairbanks, AK, United States; Met Office Hadley Centre, Exeter, United Kingdom; School of Earth and Space Exploration, Arizona State University, Tempe, AZ, United States; Groupe d'Étude de l'Atmosphère Météorologique, Unité Mixte de Recherche CNRS/Meteo-France, Toulouse Cedex, France; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden; National Institute of Polar Research, Tachikawa, Japan; University of Alaska Fairbanks, Fairbanks, AK, United States; L'Institute for Environment and Sustainability (IES), Ispra, Italy; Université Grenoble Alpes, LGGE, Grenoble, France; Climate and Environment Sciences Laboratory, French Alternative Energies and Atomic Energy Commission, French National Center for Scientific Research, University of Versailles Saint-Quentin-en-Yvelines, Saclay, France; Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark; All-Russian Research Institute of Hydrometeorological Information - World Data Centre, Obninsk, Russian Federation; Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, United States

Recommended Citation:
Wang W,, Rinke A,, Moore J,et al. Evaluation of air-soil temperature relationships simulated by land surface models during winter across the permafrost region[J]. Cryosphere,2016-01-01,10(4)
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