Abstract
Since the early dyas of the development of hydrology, hydrologists have attempted to represent the amount of rainfall on a catchment in both time and space through areal averaging techniques. Much work has been reported in the literature which deals with characterizing rainfall by depth, duration, intensity and frequency of occurrence. Defining rainfall variability in time and space has been the subject of many studies using dense experimental raingage networks and radar instrumentation. While the definition of variability and characterization of rainfall are important, the hydrologic response of the basin, due to rainfall time and space distribution for event and between events periods, is required in continuous simulation models. Raingage network densities, ranging from the experimental network density (23 km 2) to climatological density (400 km 2), are used to calculate the element rainfall amount. Using rainfall records from a dense network of recording raingages (168 gages on 2926 km 2), methods of distributing rainfall from point amounts to distributed runoff model area elements are tested. Density of the rainage network spacing vs. size of the distributive model elements are tested on basins ranging in size from 67 to 2926 km 2. Depending on the size of the distributed model element and the size of the basin, the computation and computer processing of rainfall input data can be prohibitive. The time scale increment and corresponding model responses for selected hydrological models are also tested. The computation requirements and relative cost of basin-scale rainfall inputs are presented.
Published Version
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