For this purpose, an eddy-resolving model has been seeded with artificial floats. The model is based on the MIT model, a highly flexible and parallelized primitive equation model, and covers the global ocean with 1/6 degree horizontal resolution and 30 levels in the vertical. It is driven by wind stress and thermohaline fluxes of the years 1992-1997 that are generated by the ECCO ocean state estimation. A large number of floats, initialized randomly over the global ocean were integrated over the model period.
Questions being investigated include the eddy aliasing effect on the retrieval of large-scale variations from a limited number of float profiles and the effect of the general circulation on the long-term float distribution. In principle clustering could occur, that might be circumvent by smart releasing patterns to maximize the observing capabilities of the floats. It will be tested to what degree float data are capable to measure the ocean circulation in time and space complementary to surface altimetry.