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Ocean data assimilation using optimal interpolation with a quasi-geostrophic modelA quasi-geostrophic (QG) stream function is analyzed by optimal interpolation (OI) over a 59-day period in a 150-km-square domain off northern California. Hydrographic observations acquired over five surveys were assimilated into a QG open boundary ocean model. Assimilation experiments were conducted separately for individual surveys to investigate the sensitivity of the OI analyses to parameters defining the decorrelation scale of an assumed error covariance function. The analyses were intercompared through dynamical hindcasts between surveys. The best hindcast was obtained using the smooth analyses produced with assumed error decorrelation scales identical to those of the observed stream function. The rms difference between the hindcast stream function and the final analysis was only 23 percent of the observation standard deviation. The two sets of OI analyses were temporally smoother than the fields from statistical objective analysis and in good agreement with the only independent data available for comparison.
Document ID
19910063772
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Rienecker, Michele M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Miller, Robert N.
(Oregon State University Corvallis, United States)
Date Acquired
August 14, 2013
Publication Date
August 15, 1991
Publication Information
Publication: Journal of Geophysical Research
Volume: 96
ISSN: 0148-0227
Subject Category
Oceanography
Accession Number
91A48395
Funding Number(s)
CONTRACT_GRANT: N00014-90-J-1125
Distribution Limits
Public
Copyright
Other

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