期刊文献+

基于变分方法的有限区域风场分解与重构I:理论框架和仿真实验 被引量:3

Wind partitioning and reconstruction with variational method in a limited domain I: theoretical frame and simulation experiments
原文传递
导出
摘要 众所周知,风场分解与重构最有效的方法就是引入速度势和流函数,其一般通过求解两个Poisson方程得到.由于速度势和流函数在边界上的耦合性质,有限区域风场分解是不唯一的,这对风场分解带来了很大困难.本文采用变分伴随结合正则化方法来克服风场分解的不唯一性,其核心是把速度势和流函数的边值作为控制变量来反演.目标泛函由两部分组成,一是衡量重构风场误差大小的观测项;二是保证风场分解问题适定的正则化项,其目的在于寻求具有气象意义的稳定正则化解.数值试验结果表明,在正确选取正则化参数后,利用变分伴随结合正则化方法进行有限区域风场分解与重构是有效可行的. As is well known, the efficient method to wind partitioning and reconstruction is to introduce the velocity potential and stream function which are calculated from divergence and vorticity by solving two Poisson’s equations. Since velocity potential and stream function are coupled at the boundary of limited domain, the wind partitioning problem is nonunique. To vercome the nonuniqueness of the wind portioning, a new variational adjoint method combined with regularization is proposed in this paper, which is based on the control of velocity potential and stream function boundary values under Dirichlet conditions. The cost function is composed of two parts, one is the observation term to minimize the error of the reconstructed wind field, and the other is the regularization term to guarantee the uniqueness of the reconstruction problem by seeking a stable regularization solution within meteorological content. The results of numerical experiments demonstrate that after choosing an appropriate regularization parameter, the new variational adjoint method combined with regularization is efficient and suitable for wind portioning and reconstruction in a limited domain.
出处 《物理学报》 SCIE EI CAS CSCD 北大核心 2013年第3期528-536,共9页 Acta Physica Sinica
基金 国家自然科学基金(批准号:41175025 41105012) 国家科技支撑计划(批准号:2008BAC37B03)资助~~
关键词 变分伴随方法 正则化 速度势和流函数 风场分解和重构 variational adjoint method, regularization method, stream function and velocity potential, wind partition and reconstruction
  • 相关文献

参考文献19

二级参考文献245

共引文献1937

同被引文献44

引证文献3

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部