Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data
Joint Authors
Masuda, Shuhei
Sugiura, Nozomi
Osafune, Satoshi
Doi, Toshimasa
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-15
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We investigated the impact of assimilating a mapped dataset of subsurface ocean currents into an ocean state estimation.
We carried out two global ocean state estimations from 2000 to 2007 using the K7 four-dimensional variational data synthesis system, one of which included an additional map of climatological geostrophic currents estimated from the global set of Argo floats.
We assessed the representativeness of the volume transport in the two exercises.
The assimilation of Argo ocean current data at only one level, 1000 dbar depth, had subtle impacts on the estimated volume transports, which were strongest in the subtropical North Pacific.
The corrections at 10°N, where the impact was most notable, arose through the nearly complete offset of wind stress curl by the data synthesis system in conjunction with the first mode baroclinic Rossby wave adjustment.
Our results imply that subsurface current data can be effective for improving the estimation of global oceanic circulation by a data synthesis.
American Psychological Association (APA)
Masuda, Shuhei& Sugiura, Nozomi& Osafune, Satoshi& Doi, Toshimasa. 2014. Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051832
Modern Language Association (MLA)
Masuda, Shuhei…[et al.]. Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1051832
American Medical Association (AMA)
Masuda, Shuhei& Sugiura, Nozomi& Osafune, Satoshi& Doi, Toshimasa. Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051832