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Methods and applications of ocean synthesis in climate research


Schiller, A and Lee, T and Masuda, S, Methods and applications of ocean synthesis in climate research, International Geophysics, 103 pp. 581-608. ISSN 0074-6142 (2013) [Refereed Article]

Copyright Statement

Copyright 2013 Elsevier Ltd.

DOI: doi:10.1016/B978-0-12-391851-2.00022-2


The past 20 years have provided us with an unprecedented ability to observe, monitor, and forecast the oceans. In situ and remotely sensed ocean observations in combination with ocean general circulation models using data assimilation and state estimation methods underpin climate applications. State estimation aims to provide a dynamically consistent estimation of ocean fields, of errors of these fields, and of certain model parameters such as mixing coefficients. Conversely, data assimilation tools have been developed predominantly for ocean prediction applications and ocean reanalyses. This chapter describes approaches used by state estimation and data assimilation systems in synthesizing observations and model dynamics. We highlight some applications, including their limitations for climate research, and address the challenges ahead in relation to the ocean observing system.

Item Details

Item Type:Refereed Article
Keywords:climate research, impact of observations, methods and applications, ocean state estimation, ocean state synthesis
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Oceanic processes (excl. in the Antarctic and Southern Ocean)
UTAS Author:Schiller, A (Dr Andreas Schiller)
ID Code:119121
Year Published:2013
Deposited By:Ecology and Biodiversity
Deposited On:2017-07-26
Last Modified:2017-10-12

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