A simulation and two reanalyses from 1985 to 2007 have been produced for the Mediterranean Sea using different assimilation schemes: a reduced-order optimal interpolation [System for Ocean Forecast and Analysis (SOFA)] and a three-dimensional variational scheme (OceanVar). The observational dataset consists of vertical temperature and salinity in situ profiles and along-track satellite sea level anomalies; daily mean fields of satellite sea surface temperature are used for correcting the air–sea fluxes. This paper assesses the quality of the reanalyses with respect to observations and the simulation. Both the SOFA and OceanVar schemes give very similar root-mean-square errors and biases for temperature and salinity fields compared with the assimilated observations. The largest errors are at the thermocline level and in regions of large eddy field variability. However, OceanVar gives 20% better results for sea level anomaly root-mean-square error.

Quality Assessment of a 1985–2007 Mediterranean Sea Reanalysis / M. Adani ; Dobricic S.; Pinardi N.. - In: JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY. - ISSN 0739-0572. - STAMPA. - 28:(2011), pp. 569-589. [10.1175/2010JTECHO798.1]

Quality Assessment of a 1985–2007 Mediterranean Sea Reanalysis

PINARDI, NADIA
2011

Abstract

A simulation and two reanalyses from 1985 to 2007 have been produced for the Mediterranean Sea using different assimilation schemes: a reduced-order optimal interpolation [System for Ocean Forecast and Analysis (SOFA)] and a three-dimensional variational scheme (OceanVar). The observational dataset consists of vertical temperature and salinity in situ profiles and along-track satellite sea level anomalies; daily mean fields of satellite sea surface temperature are used for correcting the air–sea fluxes. This paper assesses the quality of the reanalyses with respect to observations and the simulation. Both the SOFA and OceanVar schemes give very similar root-mean-square errors and biases for temperature and salinity fields compared with the assimilated observations. The largest errors are at the thermocline level and in regions of large eddy field variability. However, OceanVar gives 20% better results for sea level anomaly root-mean-square error.
2011
Quality Assessment of a 1985–2007 Mediterranean Sea Reanalysis / M. Adani ; Dobricic S.; Pinardi N.. - In: JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY. - ISSN 0739-0572. - STAMPA. - 28:(2011), pp. 569-589. [10.1175/2010JTECHO798.1]
M. Adani ; Dobricic S.; Pinardi N.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/110660
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