中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Lagrangian model of zooplankton dispersion:numerical schemes comparisons and parameter sensitivity tests

文献类型:CNKI期刊论文

作者Qiu ZF(丘仲锋); Andrea M.DOGLIOLI; He YJ(何宜军); Francois CARLOTTI
发表日期2011-03-15
出处Chinese Journal of Oceanology and Limnology
关键词Lagrangian numerical scheme time steps zooplankton
英文摘要This paper presents two comparisons or tests for a Lagrangian model of zooplankton dispersion:numerical schemes and time steps.Firstly,we compared three numerical schemes using idealized circulations.Results show that the precisions of the advanced Adams-Bashfold-Moulton(ABM) method and the Runge-Kutta(RK) method were in the same order and both were much higher than that of the Euler method.Furthermore,the advanced ABM method is more efficient than the RK method in computational memory requirements and time consumption.We therefore chose the advanced ABM method as the Lagrangian particle-tracking algorithm.Secondly,we performed a sensitivity test for time steps,using outputs of the hydrodynamic model,Symphonie.Results show that the time step choices depend on the fluid response time that is related to the spatial resolution of velocity fields.The method introduced by Oliveira et al.in 2002 is suitable for choosing time steps of Lagrangian particle-tracking models,at least when only considering advection.
文献子类CNKI期刊论文
资助机构Supported by the Project Lagrangian Zooplankton Computation and Experiment (CNRS Programme EC2CO) ; the National Natural Science Fundation of China (Nos. 40821004,40706059)
v.29期:02页:208-215
语种英文;
分类号Q958.8
ISSN号0254-4059
源URL[http://ir.qdio.ac.cn/handle/337002/191766]  
专题中国科学院海洋研究所
作者单位1.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanologyCAS
2.Laboratoired'OcanographiePhysiqueetBiogochimie,AixMarseilleUniversite,CNRS,UMR6535,Marseille,France
推荐引用方式
GB/T 7714
Qiu ZF,Andrea M.DOGLIOLI,He YJ,et al. Lagrangian model of zooplankton dispersion:numerical schemes comparisons and parameter sensitivity tests. 2011.

入库方式: OAI收割

来源:海洋研究所

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