Climatic physical snowpack properties for large-scale modeling examined by observations and a physical model

被引:11
|
作者
Saito, Kazuyuki [1 ,2 ]
Yamaguchi, Satoru [3 ]
Iwata, Hiroki [1 ]
Harazono, Yoshinobu [1 ]
Kosugi, Kenji [3 ]
Lehning, Michael [4 ]
Shulski, Martha [5 ]
机构
[1] Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK USA
[2] Japan Agcy Marine Earth Sci & Technol, Kanazawa Ku, Yokohama, Kanagawa, Japan
[3] Natl Res Inst Earth Sci & Disaster Prevent, Nagaoka, Niigata, Japan
[4] Swiss Fed Inst Snow & Avalanche Res, CH-7260 Davos, Switzerland
[5] Univ Nebraska, Lincoln, NE USA
关键词
Snowpack; Physical property; Arctic; Large-scale climate models; Observations; Snow dynamics model; CARBON-DIOXIDE; COVER; FOREST; RECOVERY; REGIONS; AREA;
D O I
10.1016/j.polar.2012.02.003
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Here we have conducted an integral study using site observations and a model with detailed snow dynamics, to examine the capability of the model for deriving a simple relationship between the density and thermal conductivity of the snowpack within different climatic zones used in large-scale climate modeling. Snow and meteorological observations were conducted at multiple sites in different climatic regions (two in Interior Alaska, two in Japan). A series of thermal conductivity measurements in snow pit observations done in Alaska provided useful information for constructing the relationship. The one-dimensional snow dynamics model, SNOWPACK, simulated the evolution of the snowpack and compared observations between all sites. Overall, model simulations tended to underestimate the density and overestimate the thermal conductivity, and failed to foster the relationship evident in the observations from the current and previous research. The causes for the deficiency were analyzed and discussed, regarding a low density of the new snow layer and a slow compaction rate. Our working relationships were compared to the equations derived by previous investigators. Discrepancy from the regression for the melting season observations in Alaska was found in common. (C) 2012 Elsevier B.V. and NIPR. All rights reserved.
引用
收藏
页码:79 / 95
页数:17
相关论文
共 50 条
  • [41] Evaluation of updated physical snowpack model SMAP
    Niwano, Masashi
    Aoki, Teruo
    Kuchiki, Katsuyuki
    Hosaka, Masahiro
    Kodama, Yuji
    Yamaguchi, Satoru
    Motoyoshi, Hiroki
    Iwata, Yukiyoshi
    BULLETIN OF GLACIOLOGICAL RESEARCH, 2014, 32 : 65 - 78
  • [42] Large-scale physical controls on phytoplankton growth in the Irminger Sea, Part II: Model study of the physical and meteorological preconditioning
    Waniek, JJ
    Holliday, NP
    JOURNAL OF MARINE SYSTEMS, 2006, 59 (3-4) : 219 - 237
  • [43] AN ATTEMPT AT COMPILING CARTOGRAMS OF WATER-PHYSICAL PROPERTIES OF SOILS IN LARGE-SCALE MAPPING
    PUSTOVOY.ND
    SHILINA, NI
    SOVIET SOIL SCIENCE-USSR, 1966, (06): : 675 - &
  • [44] Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data
    Price, W. Nicholson, II
    Chen, Yang
    Handelman, Samuel K.
    Neely, Helen
    Manor, Philip
    Karlin, Richard
    Nair, Rajesh
    Liu, Jinfeng
    Baran, Michael
    Everett, John
    Tong, Saichiu N.
    Forouhar, Farhad
    Swaminathan, Swarup S.
    Acton, Thomas
    Xiao, Rong
    Luft, Joseph R.
    Lauricella, Angela
    DeTitta, George T.
    Rost, Burkhard
    Montelione, Gaetano T.
    Hunt, John F.
    NATURE BIOTECHNOLOGY, 2009, 27 (01) : 51 - 57
  • [45] Large-Scale Variability of Physical and Biological Sea-Ice Properties in Polar Oceans
    Castellani, Giulia
    Schaafsma, Fokje L.
    Arndt, Stefanie
    Lange, Benjamin A.
    Peeken, Ilka
    Ehrlich, Julia
    David, Carmen
    Ricker, Robert
    Krumpen, Thomas
    Hendricks, Stefan
    Schwegmann, Sandra
    Massicotte, Philippe
    Flores, Hauke
    FRONTIERS IN MARINE SCIENCE, 2020, 7
  • [46] Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data
    W Nicholson Price II
    Yang Chen
    Samuel K Handelman
    Helen Neely
    Philip Manor
    Richard Karlin
    Rajesh Nair
    Jinfeng Liu
    Michael Baran
    John Everett
    Saichiu N Tong
    Farhad Forouhar
    Swarup S Swaminathan
    Thomas Acton
    Rong Xiao
    Joseph R Luft
    Angela Lauricella
    George T DeTitta
    Burkhard Rost
    Gaetano T Montelione
    John F Hunt
    Nature Biotechnology, 2009, 27 : 51 - 57
  • [47] Wave-dune interaction and beach resilience in large-scale physical model tests
    D'Alessandro, Felice
    Tomasicchio, Giuseppe Roberto
    COASTAL ENGINEERING, 2016, 116 : 15 - 25
  • [48] Control of large-scale cyber-physical systems with agents via a representative model
    Sakurama, Kazunori
    PROCEEDINGS OF 2016 IEEE 4TH INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, NETWORKS, AND APPLICATIONS (CPSNA), 2016, : 40 - 43
  • [49] Social Collective Attack Model and Procedures for Large-Scale Cyber-Physical Systems
    Zhu, Peidong
    Xun, Peng
    Hu, Yifan
    Xiong, Yinqiao
    SENSORS, 2021, 21 (03) : 1 - 23
  • [50] Social collective attack model and procedures for large-scale cyber-physical systems
    Zhu, Peidong
    Xun, Peng
    Hu, Yifan
    Xiong, Yinqiao
    Sensors (Switzerland), 2021, 21 (03): : 1 - 23