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DOI | 10.1175/JAS-D-17-0266.1 |
Comparison of Nonlinear Local Lyapunov Vectors and Bred Vectors in Estimating the Spatial Distribution of Error Growth | |
Feng, Jie1; Li, Jianping2,3; Ding, Ruiqiang4,5; Toth, Zoltan6 | |
2018-04-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2018 |
卷号 | 75期号:4页码:1073-1087 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China |
英文摘要 | Instabilities play a critical role in understanding atmospheric predictability and improving weather forecasting. The bred vectors (BVs) are dynamically evolved and flow-dependent nonlinear perturbations, indicating the most unstable modes of the underlying flow. Especially over smaller areas, however, BVs with different initial seeds may to some extent be constrained to a small subspace, missing potential forecast error growth along other unstable perturbation directions. In this paper, the authors study the nonlinear local Lyapunov vectors (NLLVs) that are designed to capture an orthogonal basis spanning the most unstable perturbation subspace, thus potentially ameliorating the limitation of BVs. The NLLVs are theoretically related to the linear Lyapunov vectors (LVs), which also form an orthogonal basis. Like BVs, NLLVs are generated by dynamically evolving perturbations with a full nonlinear model. In simulated forecast experiments, a set of mutually orthogonal NLLVs show an advantage in predicting the structure of forecast error growth when compared to using a set of BVs that are not fully independent. NLLVs are also found to have a higher local dimension, enabling them to better capture localized instabilities, leading to increased ensemble spread. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430749000004 |
WOS关键词 | TRANSFORM KALMAN FILTER ; QUASI-GEOSTROPHIC MODEL ; ENSEMBLE TRANSFORM ; ATMOSPHERIC PREDICTABILITY ; DATA ASSIMILATION ; INITIAL PERTURBATIONS ; TARGETED OBSERVATIONS ; PREDICTION SYSTEM ; SINGULAR VECTORS ; DYNAMICS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/29783 |
专题 | 地球科学 |
作者单位 | 1.Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA; 2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; 3.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao, Peoples R China; 4.Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R China; 5.Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China; 6.NOAA, Global Syst Div, OAR, ESRL, Boulder, CO USA |
推荐引用方式 GB/T 7714 | Feng, Jie,Li, Jianping,Ding, Ruiqiang,et al. Comparison of Nonlinear Local Lyapunov Vectors and Bred Vectors in Estimating the Spatial Distribution of Error Growth[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(4):1073-1087. |
APA | Feng, Jie,Li, Jianping,Ding, Ruiqiang,&Toth, Zoltan.(2018).Comparison of Nonlinear Local Lyapunov Vectors and Bred Vectors in Estimating the Spatial Distribution of Error Growth.JOURNAL OF THE ATMOSPHERIC SCIENCES,75(4),1073-1087. |
MLA | Feng, Jie,et al."Comparison of Nonlinear Local Lyapunov Vectors and Bred Vectors in Estimating the Spatial Distribution of Error Growth".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.4(2018):1073-1087. |
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