Abstract
The objective of this study was to determine if uncalibrated soil water and temperature models, varying in complexity and data requirements, could simulate spatial and temporal variations in near-surface soil microclimatic conditions. The SWRRB, Opus, and SHAW models were compared on their ability to address small scale spatial and temporal variations in near-surface (0-5 cm) soil microclimatic conditions on rangelands. The models were used to simulate soil temperature and water at various depths at two locations: One under a sagebrush plant and the other in the interspace between plants within a sagebrush-grass plant community. Uncalibrated simulations were run for one year where the models all performed well at simulating annual sinusoidal patterns in soil temperature at the 1-cm depth under sagebrush and interspace locations. The models performed best during the fall and spring and poorest during the winter. SHAW simulated both the spatial variability between and the day-to-day temporal variations within each location more accurately than did the other two models. All three models had difficulties simulating soil water at the 1-cm depth throughout the year. SHAW and Opus performed quite well at simulating soil water at the 30-cm depth under sagebrush, but SHAW performed better in the interspace at the same depth.
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