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Mots-clés : global, ocean, temperature, salinity

Global ocean Temperature and salinity

The global ocean temperature and salinity variability is monitored on a monthly basis. The ARGO dataset is merged with other available measurements to produce gridded fields.

Monitoring the Ocean Variability

The Argo network of profiling floats is a unique tool for monitoring the most active layers of the ocean interior. This dataset, complemented with more local arrays (mainly moorings and CTDs) is used to produce gridded fields of temperature and salinity in the upper 2000 meters. From those fields we can identify anomalies relative to the mean seasonal cycle and quantify the global changes from intra-seasonal to inter-annual time scales.

Global mean temperature, heat content or sea level are important indices of ocean changes. Combined with altimetry or gravimetry derived information they allow to monitor the oceanic part of the climate system. Analyzing the consistency between the various estimates is also a mean of detecting errors.

The analysis method is based on optimal estimation, for this purpose we have developed the In Situ Analysis System (ISAS).

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ISAS-organigramme 1
ISAS (In Situ Analysis System) is an analysis tool, based on optimal estimation, designed to interpolate a scalar field on a regular grid.
ANO_TEMP_ARGLV6NRT_0100_20111115.png
Monthly fields of temperature and salinity are computed in near real time using Coriolis datasets.
ANO_PSAL_D2CA1S2_1000_201011.png
Monthly fields of temperature and salinity have been produced over the period 2004-2010. (D2CA1S2 re-analysis).
PAR_ARV11FD_ann_PSAL_1200.png
The 2004-2010 re analysis (D2CA1S2) has been averaged to produce monthly fields representative of this period.
Global steric_height
Monitoring heat content and steric height with Argo