The objective of this study is to evaluate three geostatistical (ordinary kriging, ordinary cokriging, kriging with an external drift ), and two deterministic (inverse distance weighting, radial basis function) interpolation methods for enhanced spatial interpolation of monthly rainfall in the Middle Yarra River catchment and the Ovens River catchment in Victoria, Australia. Kriging has become a widely used interpolation method to estimate the spatial distribution of climate variables including rainfall.
Spatial distribution of rainfall is usually estimated using ground-based point rainfall data from sparsely positioned rain-gauge stations in a rain-gauge network. Rainfall data in continuous space provide an essential input for most hydrological and water resources planning studies.
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