Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3815
AuthorsBellucci, A.* 
Masina, S.* 
Di Pietro, P.* 
Navarra, A.* 
TitleUsing Temperature–Salinity Relations in a Global Ocean Implementation of a Multivariate Data Assimilation Scheme
Issue DateNov-2007
Series/Report no.11/135 (2007)
DOI10.1175/2007MWR1821.1
URIhttp://hdl.handle.net/2122/3815
Keywordsocean modelling
data assimilation
reanalysis
upper ocean variability
temperature
Salinity
Subject Classification03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis 
AbstractIn 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:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
bmdn_MWR07.pdfMain article3.73 MBAdobe PDFView/Open
Show full item record

Page view(s)

84
Last Week
0
Last month
checked on Jun 25, 2017

Download(s)

20
checked on Jun 25, 2017

Google ScholarTM

Check

Altmetric