2005
DOI: 10.1016/j.agrformet.2005.08.001
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Sensitivity analysis for two ground heat flux calculation approaches

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Cited by 158 publications
(107 citation statements)
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“…1 were measured at each station. Details of these measurements were well described in and Liebethal et al (2005). These measurements allow estimation of the residual, which, on average, reached its maximum at 1000-1200 Table 1).…”
Section: Litfass-2003 Experiments and Data Processingmentioning
confidence: 99%
“…1 were measured at each station. Details of these measurements were well described in and Liebethal et al (2005). These measurements allow estimation of the residual, which, on average, reached its maximum at 1000-1200 Table 1).…”
Section: Litfass-2003 Experiments and Data Processingmentioning
confidence: 99%
“…When applying the maximum measurement errors assumed by Liebethal et al (2005) for the LITFASS-2003 data sets, the error of the resulting ground heat flux at the surface is smaller than 15 W m −2 for most of the 30 min data. Based on the above results, we are convinced that measurement errors or uncertainties in the determination of the net radiation, the ground heat flux and the turbulent fluxes are not the reason for the energy imbalance in our data sets.…”
Section: Net Radiation and Ground Heat Fluxmentioning
confidence: 99%
“…To determine the ground heat flux, all sites were equipped with additional soil sensors. According to the sensitivity analysis by Liebethal et al (2005), the most reliable way to determine the ground heat flux turned out to be a combination of two methods, namely the gradient approach and the calorimetry. The soil heat flux at a socalled reference depth of about 0.20 m is determined from the vertical soil temperature gradient and soil thermal conductivity at that depth according to Fourier's law of heat conduction.…”
Section: Net Radiation and Ground Heat Fluxmentioning
confidence: 99%
“…where R n is net radiation (W m À2 ), H is sensible heat flux (W m À2 ), and G is ground heat flux (W m À2 ) calculated following Liebethal et al [2005]. To compute the total seasonal deficit in the energy budget, daily deficits were summed over the duration of the season.…”
Section: Eddy Covariance Measurementsmentioning
confidence: 99%