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Simulation of soil temperatures with sparse data

, : Simulation of soil temperatures with sparse data. Soil Science 144(6): 394-402

Soil temperature data in most regions of the world, including the Sonoran Desert of western North America, are generally collected at widely dispersed locations and often at only one or two shallow depths. The purpose of this study is to evaluate the accuracy of an analytic solution to the Fourier heat conduction equation for simulating daily soil temperatures (maximum, minimum, or mean) at deeper depths based on measured soil temperatures at 5- and 10-cm depths. The solutionevaluated is the sum of a deterministic component (mean annual wave plus diurnal amplitude) and a stochastic component (daily fluctuations about the mean wave). The solution is similar to a recent model used by Persaud and Chang to stimulate mean daily soil temperatures at Fresno, California, but differs in the formulation of the stochastic component. Results indicate good agreement between measured and simulated daily temperatures for 1979 at Safford and for 1980 at Yuma, Arizona. For average temperatures at Saffod, the root-mean-square deviations (RMSD) at 20 and 100 cm were 1.1 and C, respectively. At Yuma the RMSD at 20 cm was C.

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Accession: 001684423

DOI: 10.1097/00010694-198712000-00002

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