Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/3815
Authors: | Bellucci, A.* Masina, S.* Di Pietro, P.* Navarra, A.* |
Title: | Using Temperature–Salinity Relations in a Global Ocean Implementation of a Multivariate Data Assimilation Scheme | Journal: | Monthly Weather Review | Series/Report no.: | 11/135 (2007) | Publisher: | American Meteorological Society | Issue Date: | Nov-2007 | DOI: | 10.1175/2007MWR1821.1 | URL: | http://ams.allenpress.com/perlserv/?request=get-abstract&doi=10.1175%2F2007MWR1821.1&ct=1 | Keywords: | ocean modelling data assimilation reanalysis upper ocean variability temperature Salinity |
Subject Classification: | 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis | Abstract: | In this paper results from the application of an ocean data assimilation (ODA) system, combining a multivariate reduced-order optimal interpolator (OI) scheme with a global ocean general circulation model (OGCM), are described. The present ODA system, designed to assimilate in situ temperature and salinity observations, has been used to produce ocean reanalyses for the 1962–2001 period. The impact of assimilating observed hydrographic data on the ocean mean state and temporal variability is evaluated. A special focus of this work is on the ODA system skill in reproducing a realistic ocean salinity state. Results from a hierarchy of different salinity reanalyses, using varying combinations of assimilated data and background error covariance structures, are described. The impact of the space and time resolution of the background error covariance parameterization on salinity is addressed. |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
bmdn_MWR07.pdf | Main article | 3.73 MB | Adobe PDF |
WEB OF SCIENCETM
Citations
50
25
checked on Feb 10, 2021
Page view(s)
196
checked on Apr 17, 2024
Download(s)
23
checked on Apr 17, 2024