Prediction Model for Soil Temperature by Statistical Regression of Air Temperature

Air temperature 38m, 7m and 1m aboveground and soil temperature at depth of 5cm, 50cm and 100cm were measured by HMP45C sensor and CS616 in the flux tower surrounded by Phyllostachys heterocycla cv. pubescens in Anji, Zhejiang province, from Mar. 21, 2011 to Jul. 21, 2012. A regression model was developed for predicting soil temperature by analyzing relations between soil temperatures and air temperature. Results suggested that temperature despite air and soil and location had similar changes, but with the depth of soil, peak soil temperature had a lag phase. Correlation analysis demonstrated that peak soil temperature at depth of 5cm was similar with despite air temperatures, that at 50cm was 15 days later than air temperature 1m aboveground, and that at 100cm was 28 days later.