Algorithm Studies on How to Obtain a Conditional Nonlinear Optimal Perturbation (CNOP)
文献类型：CNKI期刊论文
| 作者 | Sun GD(孙国栋); Mu M(穆穆); Zhang YL(张雅乐) |
| 发表日期 | 2010-11-15 |
| 出处 | Advances in Atmospheric Sciences
 |
| 关键词 | conditional nonlinear optimal perturbation, constrained optimization problem, unconstrained optimization problem |
| 英文摘要 | The conditional nonlinear optimal perturbation (CNOP), which is a nonlinear generalization of the linear singular vector (LSV), is applied in important problems of atmospheric and oceanic sciences, including ENSO predictability, targeted observations, and ensemble forecast. In this study, we investigate the computational cost of obtaining the CNOP by several methods. Differences and similarities, in terms of the computational error and cost in obtaining the CNOP, are compared among the sequential quadratic programming (SQP) algorithm, the limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm, and the spectral projected gradients (SPG2) algorithm. A theoretical grassland ecosystem model and the classical Lorenz model are used as examples. Numerical results demonstrate that the computational error is acceptable with all three algorithms. The computational cost to obtain the CNOP is reduced by using the SQP algorithm. The experimental results also reveal that the L-BFGS algorithm is the most effective algorithm among the three optimization algorithms for obtaining the CNOP. The numerical results suggest a new approach and algorithm for obtaining the CNOP for a large-scale optimization problem. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | provided by grants from National Natural Science Foundation of China (Nos.40905050,40805020,40830955) ; the state Key Development Program for Basic Research (Grant No.2006CB400503) ; the KZCX3-SW-230 of the Chinese Academy of Sciences (CAS),LASG Free Exploration Fund,and LASG State Key Laboratory Special Fund |
| 卷 | v.27期:06页:93-103 |
| 语种 | 英文; |
| 分类号 | P433 |
| ISSN号 | 0256-1530 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/191886]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.TheStateKeyLaboratoryofNumericalModelingforAtmosphericSciencesandGeophysicalFluidDynamics,InstituteofAtmosphericPhysics,ChineseAcademyofSciences 2.KeyLaboratoryofOceanCirculationandWave,InstituteofOceanology,ChineseAcademyofSciences 3.GraduateUniversityoftheChineseAcademyofSciences |
| 推荐引用方式 GB/T 7714 | Sun GD,Mu M,Zhang YL. Algorithm Studies on How to Obtain a Conditional Nonlinear Optimal Perturbation (CNOP). 2010. |
入库方式： OAI收割
来源：海洋研究所
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