Objective
To perform Global Ocean data assimilation experiments with surface, subsurface and remotely sensed data, and to produce assimilated global data sets with several Data Assimilation Systems for intercomparison and cross-validation for the period 1980-1996.
Climate monitoring and process studies can greatly benefit from the availability of dynamically consistent data
sets of the ocean and the emerging seasonal forecast efforts are going to be heavily dependent on accurate and
consistent oceanic initial conditions. Ocean data assimilation is a crucial component of climate data assimilation,
whose pivotal role has been recognised by the CLIVAR programme that has assigned the highest priority to the
development of a comprehensive atmosphere ocean climate data assimilation system.
Against this background AGORA will investigate several ocean Data Assimilation Systems (DAS) and to
compare them on a global scale by producing global data sets, using all available observations, concentrating
on the period 1980-1996, which overlaps with the target period for the atmospheric reanalysis projects e.g. at
ECMWF.
This proposal combines extensions of well tested methods and some innovative approaches in a unique way that
allows a well-balanced development of the research with the possibility of cross-checking between methods at
each step. A comparison of several approaches is the only way to gain confidence in the methods and to
establish reliable validation procedures.
The joint development efforts and the intercomparison of the performance of the various DAS considered in
AGORA will result in the possibility of designing the next generation coupled Atmosphere-Ocean DAS at the
end of the project. AGORA will identify the requirements for the ocean part of the coupled DAS in terms of
numerics, models and assimilation algorithms and at the same time will produce significant scientific advances
and unique data sets.
AGORA will produce a more accurate assimilated data set for the period of TOPEX/POSEIDON and ERS-1/2
missions, 1992 onwards. It will make available ocean initial conditions for seasonal forecasting experiments
and modelling studies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
41100 Modena
Italy