A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation
Joint Authors
Zhang, Shaoqing
Han, Guijun
Xie, Yuanfu
Li, Wei
Zhang, Xuefeng
Cao, Yingzhi
Fu, Hongli
Wu, Xinrong
Zhang, Xiaoshuang
Yang, Jinkun
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This study addresses how to maintain oceanic mixing along potential density surface in ocean data assimilation (ODA).
It is well known that the oceanic mixing across the potential density surface is much weaker than that along the potential density surface.
However, traditional ODA schemes allow the mixing across the potential density surface and thus may result in extra assimilation errors.
Here, a new ODA scheme that uses potential density gradient information of the model background to rescale observational adjustment is designed to improve the quality of assimilation.
The new scheme has been tested using a regional ocean model within a multiscale 3-dimensional variational framework.
Results show that the new scheme effectively prevents the excessive unphysical projection of observational information in the direction across potential density surface and thus improves assimilation quality greatly.
Forecast experiments also show that the new scheme significantly improves the model forecast skills through providing more dynamically consistent initial conditions
American Psychological Association (APA)
Fu, Hongli& Yang, Jinkun& Li, Wei& Wu, Xinrong& Han, Guijun& Xie, Yuanfu…[et al.]. 2017. A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122991
Modern Language Association (MLA)
Fu, Hongli…[et al.]. A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation. Advances in Meteorology No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1122991
American Medical Association (AMA)
Fu, Hongli& Yang, Jinkun& Li, Wei& Wu, Xinrong& Han, Guijun& Xie, Yuanfu…[et al.]. A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122991
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122991