Transient thermal modeling of permafrost conditions in Southern Norway

被引:93
作者
Westermann, S. [1 ]
Schuler, T. V. [1 ]
Gisnas, K. [1 ]
Etzelmuller, B. [1 ]
机构
[1] Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
关键词
GRAIN-SIZE DISTRIBUTION; HYDRAULIC CONDUCTIVITY; SURFACE TEMPERATURES; HEAT-TRANSFER; SVALBARD; SNOW; FLOW; MOUNTAINS; EXAMPLES; DYNAMICS;
D O I
10.5194/tc-7-719-2013
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Thermal modeling is a powerful tool to infer the temperature regime of the ground in permafrost areas. We present a transient permafrost model, CryoGrid 2, that calculates ground temperatures according to conductive heat transfer in the soil and in the snowpack. CryoGrid 2 is forced by operational air temperature and snow-depth products for potential permafrost areas in Southern Norway for the period 1958 to 2009 at 1 km(2) spatial resolution. In total, an area of about 80 000 km(2) is covered. The model results are validated against borehole temperatures, permafrost probability maps from "bottom temperature of snow" measurements and inventories of landforms indicative of permafrost occurrence. The validation demonstrates that CryoGrid 2 can reproduce the observed lower permafrost limit to within 100 m at all validation sites, while the agreement between simulated and measured borehole temperatures is within 1 K for most sites. The number of grid cells with simulated permafrost does not change significantly between the 1960s and 1990s. In the 2000s, a significant reduction of about 40% of the area with average 2 m ground temperatures below 0 degrees C is found, which mostly corresponds to degrading permafrost with still negative temperatures in deeper ground layers. The thermal conductivity of the snow is the largest source of uncertainty in CryoGrid 2, strongly affecting the simulated permafrost area. Finally, the prospects of employing CryoGrid 2 as an operational soil-temperature product for Norway are discussed.
引用
收藏
页码:719 / 739
页数:21
相关论文
共 91 条
  • [11] Boone A, 2001, J HYDROMETEOROL, V2, P374, DOI 10.1175/1525-7541(2001)002<0374:AIOTSS>2.0.CO
  • [12] 2
  • [13] Sampling and statistical analyses of BTS measurements
    Brenning, A
    Gruber, S
    Hoelzle, M
    [J]. PERMAFROST AND PERIGLACIAL PROCESSES, 2005, 16 (04) : 383 - 393
  • [14] PREDICTING THE EFFECT OF TEMPERATURE ON SOIL THERMAL-CONDUCTIVITY
    CAMPBELL, GS
    JUNGBAUER, JD
    BIDLAKE, WR
    HUNGERFORD, RD
    [J]. SOIL SCIENCE, 1994, 158 (05) : 307 - 313
  • [15] The Thermal State of Permafrost in the Nordic Area during the International Polar Year 2007-2009
    Christiansen, H. H.
    Etzelmuller, B.
    Isaksen, K.
    Juliussen, H.
    Farbrot, H.
    Humlum, O.
    Johansson, M.
    Ingeman-Nielsen, T.
    Kristensen, L.
    Hjort, J.
    Holmlund, P.
    Sannel, A. B. K.
    Sigsgaard, C.
    Akerman, H. J.
    Foged, N.
    Blikra, L. H.
    Pernosky, M. A.
    Odegard, R. S.
    [J]. PERMAFROST AND PERIGLACIAL PROCESSES, 2010, 21 (02) : 156 - 181
  • [16] Relationship between thermal conductivity and water content of soils using numerical modelling
    Cosenza, P
    Guérin, R
    Tabbagh, A
    [J]. EUROPEAN JOURNAL OF SOIL SCIENCE, 2003, 54 (03) : 581 - 587
  • [17] Simulating nonsorted circle development in arctic tundra ecosystems
    Daanen, Ronald P.
    Misra, Debasmita
    Epstein, Howard
    Walker, Donald
    Romanovsky, Vladimir
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2008, 113 (G3)
  • [18] Model for Coupled Liquid Water Flow and Heat Transport with Phase Change in a Snowpack
    Daanen, Ronald P.
    Nieber, John L.
    [J]. JOURNAL OF COLD REGIONS ENGINEERING, 2009, 23 (02) : 43 - 68
  • [19] A robust and energy-conserving model of freezing variably-saturated soil
    Dall'Amico, M.
    Endrizzi, S.
    Gruber, S.
    Rigon, R.
    [J]. CRYOSPHERE, 2011, 5 (02) : 469 - 484
  • [20] Near-surface permafrost degradation: How severe during the 21st century?
    Delisle, G.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (09)