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Emerging ocean observations for interdisciplinary data assimilation systems
Dickey, T.D. (2003). Emerging ocean observations for interdisciplinary data assimilation systems, in: Grégoire, M. et al. (Ed.) The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Selected papers from the 33rd International Liege Colloquium on Ocean Dynamics, held in Liege, Belgium on May 7-11th, 2001. Journal of Marine Systems, 40-41: pp. 5-48. dx.doi.org/10.1016/S0924-7963(03)00011-3
In: Grégoire, M. et al. (Ed.) (2003). The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Selected papers from the 33rd International Liege Colloquium on Ocean Dynamics, held in Liege, Belgium on May 7-11th, 2001. Journal of Marine Systems, 40-41. Elsevier: Amsterdam. 1-406 pp., more
In: Journal of Marine Systems. Elsevier: Tokyo; Oxford; New York; Amsterdam. ISSN 0924-7963, more
Peer reviewed article  

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Document type: Conference paper

Keywords
    Data processing; Experimental research; Sampling; Simulation; Marine

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  • Dickey, T.D.

Abstract
    Identification, understanding, and prediction of many interdisciplinary oceanographic processes remain as elusive goals of ocean science. However, new ocean technologies are being effectively used to increase the variety and numbers of sampled variables and thus to fill in the gaps of the time-space continuum of interdisciplinary ocean observations. The formulation, accuracy, and efficacy of data assimilative models are highly dependent upon the quality and quantity of interdisciplinary observational data. In turn, the design of optimal sampling networks will benefit from data assimilative-based observation system simulation experiments (OSSEs). The present contribution, which is directed toward both modelers and observationalists, reviews emerging interdisciplinary observational capabilities and their optimal utilization in data assimilative models.

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