A weighted coefficient model for estimation of Australian daily soil temperature at depths of 5 cm to 100 cm based on air temperature and rainfall
Brian Horton A C and Ross Corkrey BA Tasmanian Institute of Agricultural Research, PO Box 46, Kings Meadows, Tas. 7250, Australia.
B Tasmanian Institute of Agricultural Research, 13 St Johns Avenue, New Town, Tas. 7008, Australia.
C Corresponding author. Email: brian.horton@utas.edu.au
Soil Research 49(4) 305-314 https://doi.org/10.1071/SR10151
Submitted: 23 July 2010 Accepted: 2 December 2010 Published: 19 May 2011
Abstract
Soil temperatures are related to air temperature and rainfall on the current day and preceding days, and this can be expressed in a non-linear relationship to provide a weighted value for the effect of air temperature or rainfall based on days lag and soil depth. The weighted minimum and maximum air temperatures and weighted rainfall can then be combined with latitude and a seasonal function to estimate soil temperature at any depth in the range 5–100 cm. The model had a root mean square deviation of 1.21–1.85°C for minimum, average, and maximum soil temperature for all weather stations in Australia (mainland and Tasmania), except for maximum soil temperature at 5 and 10 cm, where the model was less precise (3.39° and 2.52°, respectively). Data for this analysis were obtained from 32–40 Bureau of Meteorology weather stations throughout Australia and the proposed model was validated using 5-fold cross-validation.
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