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JFNK方法在求解全隐式一维非线性平流方程中的应用
引用本文:陈长胜,纪立人,陈嘉滨,等.JFNK方法在求解全隐式一维非线性平流方程中的应用[J].大气科学,2007,31(5):963-972.
作者姓名:陈长胜  纪立人  陈嘉滨  
作者单位:1.南京信息工程大学大气科学学院,南京,210044;中国科学院大气物理研究所,北京,100029;吉林省气象台,长春,130062
基金项目:国家自然科学基金资助项目40545020
摘    要:JFNK(Jacobian-free Newton-Krylov)方法是由Newton迭代方法和Krylov子空间迭代方法构成的嵌套迭代方法。作者以全隐式差分的一维非线性平流方程(亦称无粘Burgers方程)探讨采用全隐式格式计算的必要性和JFNK方法的有效性。模拟结果表明, 隐式结果比显式和半隐式结果在稳定度和精度方面较大的优越性, 特别是模拟气流强的系统以及要素空间分布具有较大梯度的系统。

关 键 词:JFNK方法  一维非线性平流方程  全隐式差分
文章编号:1006-9895(2007)05-0963-10
修稿时间:2006-04-182006-12-11

An Application of JFNK Method to Solving the 1D Nonlinear Advection Equation in Fully Implicit Scheme
CHEN Chang-Sheng,JI Li-Ren,CHEN Jia-Bin and et al.An Application of JFNK Method to Solving the 1D Nonlinear Advection Equation in Fully Implicit Scheme[J].Chinese Journal of Atmospheric Sciences,2007,31(5):963-972.
Authors:CHEN Chang-Sheng  JI Li-Ren  CHEN Jia-Bin and
Institution:1. College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044; 2. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 ;3. Jilin Meteorological Observatory, Changchun 130062
Abstract:Over the last 10 years it had major advantages in super computing that the higher and higher resolution was adopted in atmospheric numerical models for various scales.And this in turn provides possibility and necessity for using an implicit scheme.Zeng and Ji proposed a scheme with energy conservation in 1981.However,the convergence of iteration involved in the fully implicit scheme remains a key issue to solve.JFNK(Jacobian-free Newton-Krylov) method,a highly efficient method for solving implicit nonlinear equation,has been successfully used in many fields of computational physics.JFNK method is a nested iteration method for solving the nonlinear partial differential equations(PDEs),which is synergistic combination of Newton-type method and Krylov subspace method,without forming and storing the elements of the true Jacobian matrix.Some studies have shown that the fully implicit method solved by JFNK is more efficient and accurate than the semi-implicit method for a given level of accuracy and for a given CPU time.This paper,based on the 1D nonlinear advection equation(namely the inviscid Burgers equation),a number of comparative simulations,with the 2-order fully implicit(IM) schemes,the 2-order explicit(EX) schemes and 2-order semi-implicit(SI) schemes,have been carried out to investigate the necessity of adopting fully implicit schemes and the effect of JFNK method.The results show that the implicit scheme has better performance in comparison with the other two schemes in terms of computational stability and accuracy,especially for the simulation of flow system with strong current or large gradient of variables.These can be summarized as follows.(1) When the time step is smaller(say time step is 2-9),all the three schemes are stable;but the accuracy of IM scheme is higher than it of the others.And with the increase of time step,the IM scheme remains stable,while the other two become unstable up to time step is 2-3 when basic flow is 0.0,time step is 2-4 when basic flow is 1.0,and time step is 2-5 when basic flow is 2.0.(2) With the increase of basic flow,the advantage of IM scheme over the others becomes even more remarkable with respect to the accuracy and stability.(3) In the region of sharp gradient of variable,the IM scheme still shows clearly smooth and accurate simulation,while for the SI and EX schemes false perturbations occur there and disperse both upstream and downstream gradually.The successful application of JFNK methods on the inviscid burgers equation shows the prospect for the application of the method to more complicated nonlinear equation in future.
Keywords:JFNK method  1D nonlinear advection equation  fully implicit scheme
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