JAMSTEC K7 Data

Synthesis of observational data and state-of–the-art general circulation models (GCMs) by the variational approach has the ability to produce a dynamically self-consistent 4-dimensiona dataset.

Such datasets are extremely required for more accurate seasonal to interannual (S-I) prediction and for a better description of the dynamical state of the global warming and a hydrological cycle. This effort often referred to as “reanalysis” is focused on defining the time-varying state of the Earth climate through the assimilation of in-situ and remotely sensed data such that the resulting fields are dynamically consistent with one another and with the model dynamics.