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  Ocean State Estimation for Climate Research

Lee, T., Awaji, T., Balmaseda, M. A., Greiner, E., & Stammer, D. (2009). Ocean State Estimation for Climate Research. Oceanography, 22, 160-167.

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 Creators:
Lee, Tong1, Author
Awaji, Toshiyuki1, Author
Balmaseda, Magdalena A.1, Author
Greiner, Eric1, Author
Stammer, Detlef2, Author           
Affiliations:
1external, ou_persistent22              
2A 3 - Climate Sensitivity and Sea Level, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863480              

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Free keywords: MERIDIONAL OVERTURNING CIRCULATION; NORTH-ATLANTIC; INTERANNUAL VARIABILITY; DATA ASSIMILATION; DECADAL CHANGES; MODEL; TEMPERATURE; MECHANISMS; TRANSPORTS; HEAT
 Abstract: Spurred by the development of satellite and in situ observing systems, global ocean state estimation has flourished in the past decade. Today, a suite of global ocean state estimates has been generated and is being applied to studies over a wide range of subjects in physical oceanography and climate research as well as other disciplines. This paper highlights some examples Of using ocean state estimations for ocean and climate research. Many assimilation groups from different countries participated in a Climate Variability and Predictability program/Global Ocean Data Assimilation Experiment global ocean reanalysis evaluation effort in which intercomparisons were performed for a suite of diagnostic quantities and indices, including evaluations against observations. Examples of the intercomparisons are presented to highlight the consistencies and uncertainties of the estimation products and to examine the ability of these products to detect climate signals. Future challenges for state estimation for climate applications are also discussed.

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Language(s): eng - English
 Dates: 2009-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000269506500018
 Degree: -

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Title: Oceanography
Source Genre: Journal
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Pages: - Volume / Issue: 22 Sequence Number: - Start / End Page: 160 - 167 Identifier: ISSN: 1042-8275