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基于质点-网格模式的海冰厚度变化过程数值模拟
引用本文:刘煜,吴辉碇,张占海,刘钦政,白珊.基于质点-网格模式的海冰厚度变化过程数值模拟[J].海洋学报,2006,28(2):14-21.
作者姓名:刘煜  吴辉碇  张占海  刘钦政  白珊
作者单位:1.国家海洋环境预报中心, 北京, 100081;中国海洋大学, 海洋环境学院, 山东, 青岛, 266003
基金项目:中国科学院资助项目;科技部专项基金
摘    要:根据渤海冰情,在海冰动力学和热力学研究基础上,应用一种质点-网格海冰模式于渤海海域.该模式采用了质点-网格法,有效地避免了传统模式的数值扩散问题.该模式采用了冰厚分布函数,用多种类型冰代替用于渤海业务预报的平整冰、堆积冰和开阔水3-level模式.进行理想场的数值试验,模拟冰厚变化动力过程.还使用该模式和业务预报模式对于实际渤海冰情进行了不同个例的预报试验,发现该模式在提高冰外缘线预报精度方面有一定的优势.

关 键 词:质点-网格海冰模式    冰厚分布函数    再分布函数    造脊
文章编号:0253-4193(2006)02-0014-08
收稿时间:08 20 2004 12:00AM
修稿时间:2004-08-202005-12-20

Modeling for the dynamic process of ice thickness variation using a particle-in-cell ice model
LIU Yu,WU Hui-ding,ZHANG Zhan-hai,LIU Qin-zheng and BAI Shan.Modeling for the dynamic process of ice thickness variation using a particle-in-cell ice model[J].Acta Oceanologica Sinica (in Chinese),2006,28(2):14-21.
Authors:LIU Yu  WU Hui-ding  ZHANG Zhan-hai  LIU Qin-zheng and BAI Shan
Affiliation:1. National Marine Environment Forecast Center, Beijing , 100081, China;2. Marine Environment College, Ocean University of China, Qingdao, 266003, China; 3. State Oceanic Administration Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai, 200136, China
Abstract:Based on dynamic and thermodynamic research of sea ice and the ice conditions in the Bohai Sea,a particle-in-cell(PIC) sea ice model has been applied to the Bohai Sea,China.The PIC method is introduced into the sea ice model to efficiently reduce the numeric diffusion inherent in conventional models.The ice thickness distribution function is introduced in the model,as well,and the multi-category ice thickness distribution is used,instead of the three-level ice thickness distribution of level ice,rubble ice and open water in the Bohai Sea ice model.Numeric experiments of the ideal ice fields are carried out for simulating the dynamic process of ice thickness variation.And comparison experiments of forecasts for different cases of the real ice conditions in the Bohai Sea are made by using the PIC model with the operational ice model.It is found that the PIC model has some advantage in improving ice edge forecast accuracy.
Keywords:particle-in-cell sea ice model  ice thickness distribution function  redistribution function  ridging
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