DOI: 10.1002/2014GL060863
论文题名: The 10,240-member ensemble Kalman filtering with an intermediate AGCM
作者: Miyoshi T. ; Kondo K. ; Imamura T.
刊名: Geophysical Research Letters
ISSN: 0094-9934
EISSN: 1944-9665
出版年: 2014
卷: 41, 期: 14 起始页码: 5264
结束页码: 5271
语种: 英语
英文关键词: covariance localization
; data assimilation
; ensemble Kalman filter
; large ensemble
Scopus关键词: Computer simulation
; Covariance matrix
; Eigenvalues and eigenfunctions
; Atmospheric general circulation models
; Computational challenges
; covariance localization
; Data assimilation
; Ensemble Kalman Filter
; Ensemble Kalman filtering
; Floating point operations per seconds
; large ensemble
; Kalman filters
; atmospheric general circulation model
; covariance analysis
; data assimilation
; eigenvalue
; ensemble forecasting
; error analysis
; humidity
; Kalman filter
; teleconnection
; Pacific Coast [North America]
英文摘要: The local ensemble transform Kalman filter (LETKF) with an intermediate atmospheric general circulation model (AGCM) is implemented with the Japanese 10 petaflops (floating point operations per second) "K computer" for large-ensemble simulations of 10,240 members, 2 orders of magnitude greater than the typical ensemble size of about 100. The computational challenge includes the eigenvalue decomposition of 10,240 × 10,240 dense covariance matrices at each grid point. Using the efficient eigenvalue solver for the K computer, the LETKF computations are accelerated by a factor of 8, allowing a 3 week experiment of 10,240-member LETKF with an intermediate AGCM for the first time. The flow-dependent 10,240-member ensemble revealed meaningful long-range error correlations at continental scales. The surface pressure error correlation shows teleconnection patterns like the Pacific North American pattern. Specific humidity error correlation shows continental scale wave trains. Investigations with different ensemble sizes suggest that at least several hundred members be necessary to capture these continental scale error correlations. © 2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904521134&doi=10.1002%2f2014GL060863&partnerID=40&md5=175ffea216ea085b01c15d541708caa7
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7198
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: RIKEN Advanced Institute for Computational Science, Kobe, Japan
Recommended Citation:
Miyoshi T.,Kondo K.,Imamura T.. The 10,240-member ensemble Kalman filtering with an intermediate AGCM[J]. Geophysical Research Letters,2014-01-01,41(14).