An original hybrid data assimilation scheme recently developed is presented and tested. The scheme is based on the application of the theory of diffusion random processes. It is applied here in conjunction with the Hybrid-Coordinate Ocean Model (HYCOM) to assimilate altimetry data from the Archiving, Validating and Interpolating Satellite Oceanography Data (AVISO) in the Atlantic. Several numerical experiments were conducted and their results were analyzed. It is shown that the method is able to assimilate data and to produce analyses closer to observations. It also conserves the model balance. This 15 method allows calculating the confidence range of the analyses by estimating their errors The presented method is compared with the Ensemble Optimal Interpolation scheme (EnOI) and it is shown that it has several advantages, in particular, it provides a better forecast and requires less computational cost. literature for more than 50 years, since the beginning of the 1960s. A good review of the main achievements in this direction during the last century is presented in (Ghil et. al., 1991). From the beginning of the 2000s, the main progress is related to the development of computer facilities, explosion in observational data network, parallel computations and other technical novelties. This advance leads to the progress in new mathematical methods and algorithms, the construction and development of numerical models with very high resolution, the data exchange all over the world, etc. At the present time, the DA 35techniques, algorithms and methods have become the essential part of operational oceanography on the ocean shelf and coastal zones, especially in the oil and gas mining zones, as well as in the zones of pipeline transportation. Several national and international scientific projects are specially aimed to seek the optimal solution of the DA techniques in conjunction with the