The discharge of the Rhine River is modeled by using flexible seasonal long-memory models. The memory parameters are estimated by log periodogram regression for every seasonal frequency separately. It turns out that these models fit well the long-term behavior of the river. Significant long-range dependence was estimated at annual and semiannual frequencies. These results are robust against elimination of possible deterministic seasonal structures.