Global ocean re-analyses for climate applications

One of the main objectives of the global ocean modelling activities at Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) is the production of global ocean re-analyses over multidecadal periods to reconstruct the state of the ocean and the large scale circulation over the recent past. The re-analyses are used for climate applications and for the assessment of the benefits of assimilating ocean observations on seasonal and longer predictions.Here we present the main characteristics of an optimal interpolation based assimilation system used to produce a set of global ocean re-analyses validated against a set of high quality in situ observations and independent data. Differences among the experiments of the set are analyzed in terms of improvements in the method used to assimilate the data and the quality of observations themselves. For example, the integrated ocean heat content, which can be taken as an indicator of climate changes, is examined to detect possible sources of uncertainty of its long-term changes. Global and basin scale upper ocean heat content exhibits warming trends over the last few decades that still depend in a significant way on the assimilated observations and the formulation of the background covariances. However, all the re-analyses show a global warming trend of the oceanic uppermost 700 m over the last five decades that falls within the range of the most recent observation-based estimates. The largest discrepancies between our estimates and observational based ones are confined in the upwelling regions of the Pacific and Atlantic Oceans. Finally, the results show that the climatological heat and salt transports as a function of latitude also fall within the range of the estimates based on observations and atmospheric re-analyses.

► An OI global ocean assimilation system for climate variability studies.
► Positive impact of observations and vertical covariance tuning on the system skills.
► Re-analyses show heat content warming trends within observation-based estimates.
► Climatological heat and salt transports are within the range on known estimates.
► Possibility to estimate variability of not observable integrated quantities.