A new approach to predict soil temperature under vegetated surfaces.

ABSTRACT: In this article, the setup and the application of an empirical model, based on Newton's law of cooling, capable to predict daily mean soil temperature (T_soil) under vegetated surfaces, is described. The only input variable, necessary to run the model, is a time series of daily mean air temperature. The simulator employs 9 empirical parameters, which were estimated by inverse modeling. The model, which primarily addresses forested sites, incorporates the effect of snow cover and soil freezing on soil temperature. The model was applied to several temperate forest sites, managing the split between Central Europe (Austria) and the United States (Harvard Forest, Massachusetts; Hubbard Brook, New Hampshire), aiming to cover a broad range of site characteristics. Investigated st

SUBMITTER: Dolschak K 

PROVIDER: S-EPMC4746742 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature