HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (12) Citing Articles via Google Scholar Google Scholar Articles by Flint, A. L. Articles by Calissendorff, C. Search for Related Content PubMed Articles by Flint, A. L. Articles by Calissendorff, C. GeoRef GeoRef Citation Agricola Articles by Flint, A. L. Articles by Calissendorff, C. Related Collections Soil Methods/Instrumentation Structure and Properties Soil Physics

Calibration and Temperature Correction of Heat Dissipation Matric Potential Sensors

^a U.S. Geological Survey, Placer Hall, 6000 J Street, Sacramento, CA 95189
^b Decagon, Inc., 950 NE Nelson Ct., Pullman, WA 99163
^c 1111 Myrtle Dr., Burlington, WA 98233

View larger version (19K): [in a new window]   Fig. 1. Matric potential data as a function of dimensionless temperature rise for seven Campbell Scientific Inc. (CSI) 229-L sensors and several early heat dissipation sensors. The dashed line is a nonlinear fit to a van Genuchten-type model and the solid line is the same model scaled to -1000 MPa, both described in the text.

View larger version (12K): [in a new window]   Fig. 2. Ratio of temperature change for a dry ceramic matrix (Td) to measurements of temperature change T in equilibrium with different relative humidities (h). The line is a quadratic fit to the data and is described in the text.

View larger version (13K): [in a new window]   Fig. 3. Thermal conductivity data from heat dissipation sensor ceramic as a function of saturation of the ceramic. The line is computed from the thermal conductivity model described in the text.

View larger version (15K): [in a new window]   Fig. 4. Slope of T* versus Ti (s*) as a function of T*. Squares are measurements from the Washington State University (WSU) heat dissipation sensors and triangles are measurements from the USGS heat dissipation sensors. The line is the thermal conductivity model response described in the text.

View larger version (44K): [in a new window]   Fig. 5. Soil temperature and corresponding matric potential values for a heat dissipation sensor, uncorrected and corrected for temperatures. Also show are uncorrected matric potential values for when soil temperatures were between 19 and 21°C.

View larger version (30K): [in a new window]   Fig. 6. Matric potential data for heat dissipations sensors in a desert soil in the northern Mojave Desert, relative to the atmospheric water potential indicating near air-dry soil in the top 20 cm, indicating the need for the extended range in the calibration equation.