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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
journal contribution
posted on 2023-05-17, 03:01 authored by Brian HortonBrian Horton, Stephen CorkreyStephen CorkreySoil 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 1.21–1.858C 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 (3.398 and 2.528, 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.
History
Publication title
Australian Journal of Soil ResearchVolume
49Issue
4Pagination
305-314ISSN
0004-9573Department/School
Tasmanian Institute of Agriculture (TIA)Publisher
C S I R O PublishingPlace of publication
150 Oxford St, Po Box 1139, Collingwood, Australia, Victoria, 3066Rights statement
Copyright © 2011 CSIRORepository Status
- Restricted