Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface...
Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface and deep observations in the Gulf of Mexico
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Berlin/Heidelberg: Springer-Verlag
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English
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Berlin/Heidelberg: Springer-Verlag
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A new data assimilation algorithm (Quasi-EnKF) in ocean modeling, based on the Ensemble Kalman Filter scheme, is proposed in this paper. This algorithm assimilates not only surface measurements (sea surface height), but also deep (∼2000 m) temperature observations from the Gulf of Mexico into regional ocean models. With the use of the Princeton Oce...
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Full title
Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface and deep observations in the Gulf of Mexico
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TN_cdi_proquest_miscellaneous_1506362030
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1506362030
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ISSN
2095-0195
E-ISSN
2095-0209
DOI
10.1007/s11707-013-0377-8
