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Modeling of daily soil temperature using synoptic data and neural network

TAYYEBEH MESBAHZADEH; ali azareh; Elham Rafiiei sardooi; Fateme FarzanePei

Volume 71, Issue 1 , June 2018, , Pages 285-295

https://doi.org/10.22059/jrwm.2018.214867.1044

Abstract
  Soil moisture, as the soil hydrologic parameters, can be affected by soil temperature and controls various hydrological processes. Given the importance of this issue, in this study, the efficiency of artificial neural network was studied to simulate soil temperature at 5- 100 cm depth. Recorded meteorological ...  Read More