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- W2361103361 abstract "Arctic sea ice plays a key role in the global climate system. A sea ice numricalmedel is useful for forecasting the status and variation of sea ice clistribution and its effect on theglobal climate system, and is an important tool in study of ice drifting,distribution of ice thicknessand concentration, and the relevant dynthec and thermodyndric processes. In the past few decades,many kind of numerical models have been developed for studying the behavior and distribution ofarctic ice cover. In this paper the current development of the arctic sea ice models is reviewed, themain ideas of these models are presented, and the successes and failures of these models inimproving undrstanding of the dynamics and thermodynamics of arctic sea ice are evaluated. At thesame time, a large number of works and problems tha concem the sea ice, atmosphere, ocean andtheir interactions, as well as the effects of arctic ice in the global climate system using these modelsare discussed in detall.Thermodyndric processes in arctic ice are maiuly considered in numerical models of Mayku etal (1971), Semtuer(1976), Parkinson et al (1979), etc, to describe important thermodynamic factors.Meanwhile, great progress of arctic ice models has been made in imprving the dynamic descriptionof arctic sea ice behavior by CamPbell (1965), Coon (1980), Hibler (1979), etc. Based on thestudies mentioned aboe, Hibler (1980), Walsh (1985), Semther (1987) and Oberhuber (1993)developed dynamic - thermodynamic medels and coupled ocean - ice models for realishc simulationconsidering dynamic and thermodynamic processes of arctic sea ice. Up to now, the dynamic thermodynamic ice model can reasonably simulate the drifting pattern, ice cover extent and thecknessdistribution in arctic ocean. But it is still beyond the ultimare goal to couple these models withatmospheric and oceanic models.The further improvement on arctic ice model can be expected in the following researeh directions.(1) The ice medel's paramterization schemes for thermodynamic processes are not enough to modelthese processes in marginal ice zone as well as between water and sea leads, but we can expect toget furthr improvement (2) Developing variable thickness ice models to study the dynamic andthermodynamic effects of varying thickness of the ice cover. (3)Developing more reasonable rheologyto improve the modeling of the intemal ice sbesses. (4)The coupled ocean-ice model can improvethe results of calculation on the location of ice edge and other ice cover properties such as mean icethickness and concentration. Developmnt of air-ice-ocean couping model will be an important futuredirection in studying the role of the Arctic in the global climate." @default.
- W2361103361 created "2016-06-24" @default.
- W2361103361 creator A5073512767 @default.
- W2361103361 date "1998-01-01" @default.
- W2361103361 modified "2023-09-28" @default.
- W2361103361 title "A REVIEW OF ARCTIC SEA ICE NUMERICAL MODELS" @default.
- W2361103361 hasPublicationYear "1998" @default.
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