Retrieving Soil Water Contents from Soil Temperature Measurements by Using Linear Regression

Qin XU; Binbin ZHOU

doi:10.1007/BF02915509

Impact Factor: 5.8

Volume 20 Issue 6

Nov. 2003

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2003 > 20(6): 849-858

Retrieving Soil Water Contents from Soil Temperature Measurements by Using Linear Regression

Qin XU,
Binbin ZHOU

1.
NOAA, National Severe Storms Laboratory, Norman, Oklahoma, USA,NOAA/NWS/National Centers for Environmental Prediction, Camp Springs, Maryland, USA

Qin XU,
Binbin ZHOU

doi: 10.1007/BF02915509

Abstract
References
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Abstract:
A simple linear regression method is developed to retrieve daily averaged soil water content from diurnal variations of soil temperature measured at three or more depths. The method is applied to Oklahoma Mesonet soil temperature data collected at the depths of 5, 10, and 30 cm during 11-20 June 1995. The retrieved bulk soil water contents are compared with direct measurements for one pair of nearly collocated Mesonet and ARM stations and also compared with the retrievals of a previous method at 14 enhanced Oklahoma Mesonet stations. The results show that the current method gives more persistent retrievals than the previous method. The method is also applied to Oklahoma Mesonet soil temperature data collected at the depths of 5, 25, 60, and 75 cm from the Norman site during 20 30 July 1998 and 1-31 July 2000. The retrieved soil water contents are verified by collocated soil water content measurements with rms differences smaller than the soil water observation error (0.05 ma m-a). The retrievals are found to be moderately sensitive to random errors (±0.1 K) in the soil temperature observations and errors in the soil type specifications.
- retrieval,
- soil water content
References

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Manuscript History

Manuscript received: 10 November 2003

Manuscript revised: 10 November 2003

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Retrieving Soil Water Contents from Soil Temperature Measurements by Using Linear Regression

Qin XU,
Binbin ZHOU

1. NOAA, National Severe Storms Laboratory, Norman, Oklahoma, USA,NOAA/NWS/National Centers for Environmental Prediction, Camp Springs, Maryland, USA

Manuscript received: 2003-11-10
Manuscript revised: 2003-11-10

Abstract: A simple linear regression method is developed to retrieve daily averaged soil water content from diurnal variations of soil temperature measured at three or more depths. The method is applied to Oklahoma Mesonet soil temperature data collected at the depths of 5, 10, and 30 cm during 11-20 June 1995. The retrieved bulk soil water contents are compared with direct measurements for one pair of nearly collocated Mesonet and ARM stations and also compared with the retrievals of a previous method at 14 enhanced Oklahoma Mesonet stations. The results show that the current method gives more persistent retrievals than the previous method. The method is also applied to Oklahoma Mesonet soil temperature data collected at the depths of 5, 25, 60, and 75 cm from the Norman site during 20 30 July 1998 and 1-31 July 2000. The retrieved soil water contents are verified by collocated soil water content measurements with rms differences smaller than the soil water observation error (0.05 ma m-a). The retrievals are found to be moderately sensitive to random errors (±0.1 K) in the soil temperature observations and errors in the soil type specifications.

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