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Quality Control of 10-min Soil Temperatures Data at Rmi : Volume 12, Issue 1 (06/03/2015)

By Bertrand, C.

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Book Id: WPLBN0003973434
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Quality Control of 10-min Soil Temperatures Data at Rmi : Volume 12, Issue 1 (06/03/2015)  
Author: Bertrand, C.
Volume: Vol. 12, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Bertrand, C., Sotelino, L. G., & Journée, M. (2015). Quality Control of 10-min Soil Temperatures Data at Rmi : Volume 12, Issue 1 (06/03/2015). Retrieved from

Description: Royal Meteorological Institute of Belgium, Brussels, Belgium. Soil temperatures at various depths are unique parameters useful to describe both the surface energy processes and regional environmental and climate conditions. To provide soil temperature observation in different regions across Belgium for agricultural management as well as for climate research, soil temperatures are recorded in 13 of the 20 automated weather stations operated by the Royal Meteorological Institute (RMI) of Belgium. At each station, soil temperature can be measured at up to 5 different depths (from 5 to 100 cm) in addition to the bare soil and grass temperature records. Although many methods have been developed to identify erroneous air temperatures, little attention has been paid to quality control of soil temperature data. This contribution describes the newly developed semi-automatic quality control of 10-min soil temperatures data at RMI.

Quality control of 10-min soil temperatures data at RMI

Bertrand, C., Gonzalez Sotelino, L., and Journée, M.: Quality control of 10-min air temperature data at RMI, Adv. Sci. Res., 10, 1–5, doi:10.5194/asr-10-1-2013, 2013.; Best, M. J., Cox, P. M., and Warrilow, D.: determining the optimal soil temperature scheme for atmospheric modeling applications, Bound.-Lay. Meteorol., 114, 111–142, 2005.; Gandin, L. S.: Complex quality control of meteorological observations, Mon. Weather Rev., 116, 1137–1156, 1988.; Hillel, D.: Environmental soil physics. Academic press, London, 771 pp., 1998.; de Jeu, R. A. M., Wagner, W., Holmes, T. R. H., Dolman, A. J., van de Giesen, N. C., and Friesen, J.: Global soil moisture patterns observed by space borne microwave radiometers and scatterometers, Surv. Geophys., 29, 399–420, 2008.; Hu, Q. S. and Feng, S.: A daily soil temperature dataset and soil temperature climatology of the contiguous United states, J. Appl. Meteorol., 42, 1139–1156, 2003.; Hu, Q. S., Feng, S., and Schaefer, G.: Quality control for USDA NRCS SM-ST Network soil temperatures: a method and a dataset, J. Appl. Meteorol., 41, 607–619, 2002.; Lachenbruch, A. H. and Marshall, B. V.: Changing climate: geothermal evidence from permafrost in the Alaskan Arctic, Science, 234, 689–696, 1986.; van Wijk, W. R. and de Vries, D. A.: Periodic temperature variations in homogeneous soil, in: Physics of plant environment, edited by: van Wijk, W. R., North-Holland Publ. Co., Amsterdam, 102–143, 1963.


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