Alberto’s main research interest is in the application of data assimilation technique in geosciences. He has been working on the development of advanced data assimilation techniques incorporating a flow dependent error tracking and for the assimilation of adaptive observations.
Alberto also worked on fundamental aspects of the data assimilation theory in relation to other concepts of complex systems, in particular synchronizations. In the context of ensemble based data assimilation, he has been working on the problem of the design of the optimal ensemble in connection to the system instabilities and for the objective comparison among several state-of-the-art data assimilation algorithms. More recently he focused on the development of new strategies for the treatment of model error in data assimilation procedures.