Application of Multiscale Modeling for Characterizing Variability in Hydrologic Processes

{We describe a multiscale modeling framework applicable for a wide range of hydrologic processes. The foundation for this work has been laid by Basseville et al. 1992] and Chou et al. 1994]. Their development is based on treating the scale parameter akin to time, such that description at a particular scale captures the features of the process up to that scale that are relevant for the prediction of ner scale features, as in the notion of state-space approaches. We show the applicability of this model for modeling and estimation of a broad range of multiscale phenomena in hydrology. The methodology is illustrated through an example using a soil-moisture eld obtained using remote sensing observations.