  We show that the effective average action and its gradient are useful for
solving multiscale data assimilation problems. We also present a procedure for
numerically evaluating the gradient of the effective average action, and
demonstrate that the variational problem for slow degrees of freedom can be
solved properly using the "effective gradient."
