Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4357-2021
https://doi.org/10.5194/hess-25-4357-2021
Research article
 | 
10 Aug 2021
Research article |  | 10 Aug 2021

Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the USA Great Plains

Haidong Zhao, Gretchen F. Sassenrath, Mary Beth Kirkham, Nenghan Wan, and Xiaomao Lin

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Cited articles

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Short summary
This study was done to develop an improved soil temperature model for the USA Great Plains by using common weather station variables as inputs. After incorporating knowledge of estimated soil moisture and observed daily snow depth, the improved model showed a near 50 % gain in performance compared to the original model. We conclude that our improved model can better estimate soil temperature at the surface soil layer where most hydrological and biological processes occur.