Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL075534 |
Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation | |
Smith, Polly J.1; Lawless, Amos S.1,2; Nichols, Nancy K.1,2 | |
2018-01-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
![]() |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:1页码:445-454 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | Strongly coupled data assimilation requires cross-domain forecast error covariances; information from ensembles can be used, but limited sampling means that ensemble derived error covariances are routinely rank deficient and/or ill-conditioned and marred by noise. Thus, they require modification before they can be incorporated into a standard assimilation framework. Here we compare methods for improving the rank and conditioning of multivariate sample error covariance matrices for coupled atmosphere-ocean data assimilation. The first method, reconditioning, alters the matrix eigenvalues directly; this preserves the correlation structures but does not remove sampling noise. We show that it is better to recondition the correlation matrix rather than the covariance matrix as this prevents small but dynamically important modes from being lost. The second method, model state-space localization via the Schur product, effectively removes sample noise but can dampen small cross-correlation signals. A combination that exploits the merits of each is found to offer an effective alternative. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423431800050 |
WOS关键词 | ERROR ; 4D-VAR ; LOCALIZATION |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/26981 |
专题 | 气候变化 |
作者单位 | 1.Univ Reading, Sch Math Phys & Computat Sci, Reading, Berks, England; 2.Univ Reading, Natl Ctr Earth Observat, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Smith, Polly J.,Lawless, Amos S.,Nichols, Nancy K.. Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(1):445-454. |
APA | Smith, Polly J.,Lawless, Amos S.,&Nichols, Nancy K..(2018).Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation.GEOPHYSICAL RESEARCH LETTERS,45(1),445-454. |
MLA | Smith, Polly J.,et al."Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation".GEOPHYSICAL RESEARCH LETTERS 45.1(2018):445-454. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论