Regional ocean data assimilation

TitleRegional ocean data assimilation
Publication TypeJournal Article
Year of Publication2015
AuthorsEdwards C.A, Moore A.M, Hoteit I., Cornuelle BD
JournalAnnual Review of Marine Science, Vol 7
Volume7
Pagination21-42
Date Published2014/12
Type of ArticleReview; Book Chapter
ISBN Number1941-1405
Accession NumberWOS:000348560700003
Keywords4dvar data assimilation; assimilation; california current system; Data assimilation; ecosystem modeling; Ensemble Kalman filter; general-circulation model; gulf-of-mexico; north-atlantic; ocean modeling; physical-biogeochemical model; sequential data; strongly nonlinear-systems; variational data assimilation
Abstract

This article reviews the past 15 years of developments in regional ocean data assimilation. A variety of scientific, management, and safety-related objectives motivate marine scientists to characterize many ocean environments, including coastal regions. As in weather prediction, the accurate representation of physical, chemical, and/or biological properties in the ocean is challenging. Models and observations alone provide imperfect representations of the ocean state, but together they can offer improved estimates. Variational and sequential methods are among the most widely used in regional ocean systems, and there have been exciting recent advances in ensemble and four-dimensional variational approaches. These techniques are increasingly being tested and adapted for biogeochemical applications.

DOI10.1146/annurev-marine-010814-015821
Student Publication: 
No
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