CORC  > 山东大学
Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10)
Fu, Guangliang; Lin, Hai Xiang; Heemink, Arnold; Lu, Sha; Segers, Arjo; van Velzen, Nils; Lu, Tongchao; Xu, Shiming
刊名GEOSCIENTIFIC MODEL DEVELOPMENT
2017
卷号10期号:4页码:1751-1766
DOI10.5194/gmd-10-1751-2017
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4593942
专题山东大学
作者单位Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, N
推荐引用方式
GB/T 7714
Fu, Guangliang,Lin, Hai Xiang,Heemink, Arnold,et al. Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10)[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2017,10(4):1751-1766.
APA Fu, Guangliang.,Lin, Hai Xiang.,Heemink, Arnold.,Lu, Sha.,Segers, Arjo.,...&Xu, Shiming.(2017).Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10).GEOSCIENTIFIC MODEL DEVELOPMENT,10(4),1751-1766.
MLA Fu, Guangliang,et al."Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10)".GEOSCIENTIFIC MODEL DEVELOPMENT 10.4(2017):1751-1766.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace