| Summary: | Global ocean modelling activities at Centro Euro-Me diterraneo per i Cambiamenti Climatici (CMCC) include the development and implementation of data assimilation techniques appl ied to a global ocean general circulation model to investigate the role of the ocean on climate variability and predictability. T he main objective is the production of global ocean re-analyses over multidecadal periods to reconstruct the state of the ocean and t he large scale circulation over the recent past for climate applications and for the assessment of the benefits of assimilating ocea n observations on seasonal and longer climate predi ctability. Here we present the main characteristics of the ass imilation system and a set of global ocean re-analy ses produced with this system. Applications of these data assimilation pro ducts to the study of climate variability and to th e assessment of subsurface ocean initialization contribution to seasonal clima te predictability will also be reported. The authors wish to thank the Centro Euro-Mediterra neo per i Cambiamenti Climatici for its financial a nd scientific support of some of the activities presented in this work. The implementation and the following improvements of th e global ocean assimilation system were carried out in the framework of the ENA CT (EVK2-CT2001-00117) and ENSEMBLES (GOCE-CT-2003- 505539) projects. We wish to thank Dr. A. Bellucci for his effort in this activity during the ENACT project. W e are grateful to the TAO Project Office for the TAO data, and James Carton and Genna dy Chepurin for supplying salinity data from Bermud a station. The MyOcean (FP7-SPACE-2007-1) project is feeding some of the most recent developments. Published 28-38 4A. Clima e Oceani N/A or not JCR open
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