EN4 database maintained by the Hadley Centre. Altimeter data sea level data and Sea surface temperature data can be assimilated and the NEMODataplot software package developed at the Met Office allows model and observational data to be compared. Some EO observational datasets can be mapped and explored directly with the toolboxes ncWMS and EDal.

Research tools for observing, modelling and assimilating the ocean biogeochemistry. The NCEO tools for modelling the biogeochemical component of the global oceans include the biogeochemical models ERSEM and MEDUSA in the near future, coupled with the hydrodynamic models GOTM, POLCOMS and NEMO. Biogeochemical ocean observations are assimilated into these models by using the Ensemble Kalman filter (EnKF), as well as the Equivalent Weights Particle filter (EWPF) and the Localised Ensemble Transform Kalman Filter (LETKF) included in the data assimilation framework EMPIRE. Biogeochemical data, model and assimilation outputs are explored and inter-compared by using the statistical methods of the OPEC benchmarking-toolbox, and they are visualized and disseminated by using the NERC EO Data Acquisition and Analysis Service (NEODAAS), the OPEC data-portal, as well as mapped using tools such as BEAM, SNAP, Panoply and, for in situ data from floats, JCOMMOPS.