Application of optimal data assimilation techniques in oceanography

Conference · Tue Dec 31 00:00:00 EST 1996

OSTI ID:505182

Miller, R N ^[1]

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1. Oregon State Univ., Corvallis, OR (United States)

Application of optimal data assimilation methods in oceanography is, if anything, more important than it is in numerical weather prediction, due to the sparsity of data. Here, a general framework is presented and practical examples taken from the author`s work are described, with the purpose of conveying to the reader some idea of the state of the art of data assimilation in oceanography. While no attempt is made to be exhaustive, references to other lines of research are included. Major challenges to the community include design of statistical error models and handling of strong nonlinearity.

• OSTI ID: 505182
• Report Number(s): CONF-9207256-Vol.79; CNN: Contract N00014-90-J-1125; Grant OCE8800004; TRN: 97:003314-0015
• Resource Relation: Conference: IMA summer program on mathematical, computational, and statistical analyses in environmental studies, Minneapolis, MN (United States), 6-31 Jul 1992; Other Information: PBD: 1996; Related Information: Is Part Of Environmental studies: Mathematical, computational, and statistical analysis; Wheeler, M.F. [ed.] [Rice Univ., Houston, TX (United States)]; PB: 414 p.
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
OCEANOGRAPHY
DATA COMPILATION
DATA ANALYSIS
STATISTICAL MODELS