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The threat of climate change has gathered an incredible amount of attention and scientifi c research in recent years. Understanding the landscape-scale spatial variability of soil hydrologic properties, especially soil available water storage (AWS), is important because this soil-water interaction has numerous implications in the biosphere and atmosphere, and strongly infl uences regional climate patterns. This research analyzed the spatial variability of soil AWS data within the soil root zone (1.5 m soil depth) at spatial resolutions of 16 km2, 4 km2, and 1 km2 grids.

Determining the Landscape-Scale Spatial Variability of Soil Available Water Storage for Use in Climate Change Modeling