SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Assimilating temperature and salinity profiles using Ensemble Kalman Filter with an adaptive observation error and T-S constraint
Liu Danian; Shi Ping; Shu Yeqiang; Yao Jinglong; Wang Dongxiao; Sun Lu; Shu, YQ (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China.
2016
Source PublicationACTA OCEANOLOGICA SINICA
Volume35Issue:1Pages:30-37
AbstractTemperature (T) and salinity (S) profiles from conductivity-temperature-depth data collected during the Northern South China Sea Open Cruise from August 16 to September 13, 2008 are assimilated using Ensemble Kalman Filter (EnKF). An adaptive observational error strategy is used to prevent filter from diverging. In the meantime, aiming at the limited improvement in some sites caused by the T and S biases in the model, a T-S constraint scheme is adopted to improve the assimilation performance, where T and S are separately updated at these locations. Validation is performed by comparing assimilated outputs with independent in situ data (satellite remote sensing sea level anomaly (SLA), the OSCAR velocity product and shipboard ADCP). The results show that the new EnKF assimilation scheme can significantly reduce the root mean square error (RMSE) of oceanic T and S compared with the control run and traditional EnKF. The system can also improve the simulation of circulations and SLA.
Department[Liu Danian; Shi Ping; Shu Yeqiang; Yao Jinglong; Wang Dongxiao] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Sun Lu] State Ocean Adm, South China Sea Branch, South China Sea Monitoring Ctr, Guangzhou 510301, Guangdong, Peoples R China ; LTO
KeywordEnsemble Kalman Filter Adaptive Observation Error T-s Constraint
Subject AreaOceanography
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/15584
Collection热带海洋环境国家重点实验室(LTO)
Corresponding AuthorShu, YQ (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China.
Recommended Citation
GB/T 7714
Liu Danian,Shi Ping,Shu Yeqiang,et al. Assimilating temperature and salinity profiles using Ensemble Kalman Filter with an adaptive observation error and T-S constraint[J]. ACTA OCEANOLOGICA SINICA,2016,35(1):30-37.
APA Liu Danian.,Shi Ping.,Shu Yeqiang.,Yao Jinglong.,Wang Dongxiao.,...&Shu, YQ .(2016).Assimilating temperature and salinity profiles using Ensemble Kalman Filter with an adaptive observation error and T-S constraint.ACTA OCEANOLOGICA SINICA,35(1),30-37.
MLA Liu Danian,et al."Assimilating temperature and salinity profiles using Ensemble Kalman Filter with an adaptive observation error and T-S constraint".ACTA OCEANOLOGICA SINICA 35.1(2016):30-37.
Files in This Item:
File Name/Size DocType Version Access License
Assimilating tempera(2635KB)期刊论文作者接受稿开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.