This chapter outlines the problem of predictability and the methods used to blend, in an optimal way, observations with model computations in order to guide the latter and to produce improved simulations of geophysical fluid phenomena. The methods invoke physical as well as statistical reasoning and rely on certain approximations that facilitate their implementation in operational forecast models.