Modeling Spatiotemporal Precipitation: Effects of Density, Interpolation, and Land Use Distribution

• DOI: 10.1155/2015/174196
• Publication Date: 2015-04-19T17:01:56Z
• Authors: Christopher L. Shope; Ganga Ram Maharjan
• Keywords: Interpolation

Characterization of precipitation is critical in quantifying distributed catchment-wide discharge. The gauge network a key driver hydrologic modeling to characterize accuracy dependent on the location stations, density network, and interpolation scheme. Our study examines 16 weather stations 64 km 2 catchment. We develop weighted, approach for gap-filling observed meteorological dataset. analyze five methods (Thiessen, IDW, nearest neighbor, spline, ordinary Kriging) at densities. utilize SWAT model estimate discharge lumped parameter simulations multiple densities (1, 16, 50, 142, 300 stations). Gauge has substantial impact optimal between 50 142 stations. results also indicate that IDW scheme was optimum, although Kriging Thiessen polygon produced similar results. To further examine variability discharge, we characterized land use soil distribution throughout each subbasins. rain position gauges drastically influence runoff. found it best locate near less permeable locations.