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This study evaluates the quality of a Mediterranean Sea reanalysis spanning 1985-2007 using assimilation schemes, atmospheric and hydrological forcings, and observational data. Results show insights into ocean circulation, variability, and water mass formation, highlighting the importance of reanalysis datasets.
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Quality Assessment of a 1985-2007 Mediterranean Sea Reanalysis M. Adani, G. Coppini, C.Fratianni, P.Oddo, M.Tonani, GNOO, INGV Sez Bologna N. Pinardi, M. Zavatarelli, Univ. of Bologna V. Lyubartsev, S. Dobricic, CMCC, Bologna
Assimilation schemes: • OceanVar (Dobricic, S., and N., Pinardi, 2007) • SOFA (De Mey, P., and M. Benkiran, 2002) Experimental set-up Atmospheric and hydrological forcing: ➔ ECMWF operational analysis + ERA15 ➔ Monthly mean climatological NCEP precipitation ➔ Monthly mean climatological river runoff (GRDC) Daily Mean output: • Temperature • Salinity • Velocities • Wind Stress • Sea Surface Height • Heat Flux • Water Flux • Shortwave Radiation Ocean General Circulation Model: OPA code (Tonani et al., 2008) 1/16 x 1/16 and 71 unevenly spaced levels Assimilation schemes: RELAXATION Observations: • T/S in situ profiles (MedAtlas, MFS) • SLA along track (T/P,ERS1,ERS2, ENVISAT,J1) Observations: • OI-SST
Experimental set-up cont. Examples of spatial distribution of in situ and satellite observations in one day. Data Distribution
Experimental set-up cont. • Multivariate part of the error background covariance matrix (B) is common to both assimilation schemeand the observational error matrix (R) is identical. • Major difference between the two implementations is that OceanVar uses a barotropic model to estimates the corrections on SLA and SOFA uses formula of level of no-motion. In the latter case the SLA data can be assimilated only in area deeper then 1000 meters resulting in 12% less satellite observations assimilated for SO-RE.
Results • Mediterranean Volume Temperature • Gibraltar advective/diffusive part • Solar radiation • Relaxation term relaxation data assimilation
Results cont. TEMPERATURE SALINITY RMSE BIAS
Results cont. SLA RMSE
Mean circulation in the 200-300m Eddy driven areas Pathway of the LIW ‘barotropic flow’ The interpretation
1987-1996 1997-2006 Decadal variability Ionian reversal Strengthening of the Levantine circulation
The mean vs Eddy Kinetic Energy (EKE) 0-150 m: 0,07 m s-1 0-bot: 0,03 m s-1 EKE is 70-90%of TKE
Water mass formation rates: results WMDW EMDW • Four major events: • 1987 for WMDW • 2) 1992-1993 for LIW, CDW and EMDW • 3) 1999-2000 for WMDW and EMDW • 4) 2005-2006 WMDW, EMDW and LIW CDW LIW Eastern Med Transient Sv
Conclusions • Two re-analysis and a simulation has been carried out for the Mediterranean Sea from 1985 to 2007 . • All available in situ and satellite information for the past 23 years have been used with two assimilation schemes, a Reduced Order Optimal Interpolation scheme, so-called SOFA, and a three-dimensional variational scheme, so-called OceanVar. • OV-RE gives better results for abundant data such as SLA, improving by about 10% the RMSE with respect to SO-RE, but giving the same RMSE of SO-RE for sparse data sets, such as temperature and salinity profiles. • Reanalysis is a useful dataset to study the low frequency variability of the ocean References: M. Adani, S. Dobricic, N. Pinardi, 2011: Quality Assessment of a 1985–2007 Mediterranean Sea Reanalysis. J. Atmos. Oceanic Technol., 28, 569–589. doi: 10.1175/2010JTECHO798.1 N. Pinardi, M. Adani, G. Coppini, C. Fratianni, P. Oddo, M. Tonani, V. Lyubartsev, S. Dobricic, M. Zavatarelli.. The Mediterranean Sea large scale low frequency ocean variability from 1987 to 2007: a retrospective analysis., in preparation.