Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests

Zhongfeng Qiu; Andrea M. Doglioli; Yijun He; Francois Carlotti

doi:10.1007/s00343-011-0015-9

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Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests

OriginalPaper | Updated：2023-05-16

- Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests
- Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests
- 海洋湖沼学报（英文） 2011年29卷第2期页码：438-445
- Affiliations：
  
  1. Key Laboratory of Ocean Circulation and Waves Institute of Oceanology CAS
  2. Laboratoire d’Océanographie Physique et Biogéochimie Aix Marseille Université CNRS UMR,6535
- Author bio：
- Funds：
  
  Supported by the Project Lagrangian Zooplankton Computation and Experiment (CNRS Programme EC2CO) and the National Natural Science Fundation of China (Nos. 40821004, 40706059)
- DOI：10.1007/s00343-011-0015-9
  中图分类号：
- 网络首发：2011-03-02，
  
  纸质出版：2011
- Accepted：
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Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests[J]. 海洋湖沼学报（英文）, 2011,29(2):438-445.

Qiu, Z., Doglioli, A.M., He, Y. et al. Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests., Chin. J. Ocean. Limnol. 29, 438–445 (2011). https://doi.org/10.1007/s00343-011-0015-9
Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests[J]. 海洋湖沼学报（英文）, 2011,29(2):438-445. DOI： 10.1007/s00343-011-0015-9.

Qiu, Z., Doglioli, A.M., He, Y. et al. Lagrangian model of zooplankton dispersion: numerical schemes comparisons and parameter sensitivity tests., Chin. J. Ocean. Limnol. 29, 438–445 (2011). https://doi.org/10.1007/s00343-011-0015-9 DOI：

摘要

Abstract

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.

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references

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