Thermodynamic-Dynamic Sea Ice Modeling under J Parallel Adaptive Structured Mesh Applications Infrastructure

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Analyzing problems represented by partial differential equations numerically with modern high performance computers has become an important approach in research of earth science. In the work, a Sea Ice numerical Model under JASMIN (J parallel Adaptive Structured Mesh applications INfrastructure) (SIMJ for brevity) including thermodynamic and dynamic processes is implemented and an numerical experiment of 20-year integration with SIMJ has been performed. It’s found that the model can reproduce seasonal variation of Arctic sea ice well and implementation of parallel computing is flexible and easy. The ratio of time consumption is 1:1.16:1.48:2.45 with 8, 4, 2, and 1 core(s) respectively for one year integration on mobile workstation (Thinkpad W510) with Red Hat Enterprise Linux 5.4 and Portland group’s pgf90 9.0-1.

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704-710

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Briegleb BP, Bitz CM., Hunke EC, Lipscomb WH, Holland MM, Schramm JL, Moritz RE. Scientific Description of the Sea Ice Component in the Community Climate System Model, Version Three. NCAR TECHNICAL NOTE. NCAR/TN-463+STR.; (2003).

Google Scholar

[2] Cooper K. D, Hall MW, Hood R, Kennedy K, McKinley KS, Mellor-Crummey J, Torczon L, Warren S. The ParaScope Parallel Programming Environment, The Proceedings of the IEEE 1993; 81(2): 244–263.

DOI: 10.1109/5.214549

Google Scholar

[3] Gunney BTN, Wissink AM, Hysom DA. Parallel Clustering Algorithms for Structured AMR, Journal of Parallel and Distributed Computing 2006; 66(11): 1419-1430.

DOI: 10.1016/j.jpdc.2006.03.011

Google Scholar

[4] Hibler WD III. A dynamic thermodynamic sea ice model, Journal of Physical Oceanography 1979; 9: 815-846.

DOI: 10.1175/1520-0485(1979)009<0815:adtsim>2.0.co;2

Google Scholar

[5] Hunke EC, Dukowicz JK. An elastic-viscous-plastic model for sea ice dynamics, Journal of Physical Oceanography 1997; 27: 1849-1867.

DOI: 10.1175/1520-0485(1997)027<1849:aevpmf>2.0.co;2

Google Scholar

[6] Large W. Yeager S. Diurnal to decadal global forcing for ocean and sea-ice models: the datasets and flux climatologies. NCAR Technical Note, NCAR/TN-460+STR, CGD Division of the National Centre for Atmospheric Research; (2004).

Google Scholar

[7] LIU Xi-ying. Numerical simulations of sea ice with different advection schemes, Journal of Hydrodynamics 2011; 23: 372-378.

DOI: 10.1016/s1001-6058(10)60125-4

Google Scholar

[8] Mo Zeyao, Zhang Aiqing. Parallel adaptive structured mesh applications infrastructure, Technical report of High Performance Computing Center, Institute of Applied Physics and Computational Mathematics (T09-JMJL-01); (2011).

Google Scholar

[9] Semtner AJ. A model for the thermodynamic growth of sea ice in numerical investigations of climate, Journal of Physical Oceanography 1976; 6: 379-389.

DOI: 10.1175/1520-0485(1976)006<0379:amfttg>2.0.co;2

Google Scholar