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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

Citation

Horton, B and Corkrey, R, 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, Australian Journal of Soil Research, 49, (4) pp. 305-314. ISSN 0004-9573 (2011) [Refereed Article]


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Copyright Statement

Copyright 2011 CSIRO

Official URL: http://www.publish.csiro.au/?paper=SR10151

DOI: doi:10.1071/SR10151

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 5100 cm. The model had a root mean square deviation of 1.211.858C 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 3240 Bureau of Meteorology weather stations throughout Australia and the proposed model was validated using 5-fold cross-validation.

Item Details

Item Type:Refereed Article
Research Division:Environmental Sciences
Research Group:Soil Sciences
Research Field:Soil Physics
Objective Division:Environment
Objective Group:Soils
Objective Field:Farmland, Arable Cropland and Permanent Cropland Soils
Author:Horton, B (Dr Brian Horton)
Author:Corkrey, R (Dr Ross Corkrey)
ID Code:64636
Year Published:2011
Web of Science® Times Cited:8
Deposited By:Agricultural Science
Deposited On:2010-08-13
Last Modified:2017-10-31
Downloads:9 View Download Statistics

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