DOI: 10.1002/2014GL061077
论文题名: Ensemble Kalman filter data assimilation in a Babcock-Leighton solar dynamo model: An observation system simulation experiment for reconstructing meridional flow speed
作者: Dikpati M. ; Anderson J.L. ; Mitra D.
刊名: Geophysical Research Letters
ISSN: 0094-9868
EISSN: 1944-9599
出版年: 2014
卷: 41, 期: 15 起始页码: 5361
结束页码: 5369
语种: 英语
英文关键词: data assimilation
; meridional circulation
; solar dynamo
Scopus关键词: Computer simulation
; Interactive devices
; Kalman filters
; Solar energy
; Climate variation
; Data assimilation
; Ensemble Kalman Filter
; Meridional circulation
; Observation systems
; Observational errors
; Solar dynamo
; Spatiotemporal patterns
; Meridional flows
; Research Testbed
; Speed
; climate variation
; data assimilation
; flow velocity
; Kalman filter
; magnetic field
; meridional circulation
; simulation
; solar cycle
; spatiotemporal analysis
英文摘要: Accurate knowledge of time variation in meridional flow speed and profile is crucial for estimating the solar cycle's features, which are ultimately responsible for causing space climate variations. However, no consensus has been reached yet about the Sun's meridional circulation pattern observations and theories. By implementing an ensemble Kalman filter (EnKF) data assimilation in a Babcock-Leighton solar dynamo model using Data Assimilation Research Testbed framework, we find that the best reconstruction of time variation in meridional flow speed can be obtained when 10 or more observations are used with an updating time of 15 days and a ≤10% observational error. Increasing ensemble size from 16 to 160 improves reconstruction. Comparison of reconstructed flow speed with "true state" reveals that EnKF data assimilation is very powerful for reconstructing meridional flow speeds and suggests that it can be implemented for reconstructing spatiotemporal patterns of meridional circulation. Key Points Reconstruction of meridional flow speed variation Powerfulness of EnKF data assimilation approach Progress on finding spatiotemporal pattern of meridional circulation © 2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905305755&doi=10.1002%2f2014GL061077&partnerID=40&md5=b0b021bf5bc23139d119d2e9bae79b0b
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7132
Appears in Collections: 气候减缓与适应
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作者单位: High Altitude Observatory, National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Dikpati M.,Anderson J.L.,Mitra D.. Ensemble Kalman filter data assimilation in a Babcock-Leighton solar dynamo model: An observation system simulation experiment for reconstructing meridional flow speed[J]. Geophysical Research Letters,2014-01-01,41(15).