Systematic errors in ground heat flux estimation and their correction
Name
Entekhabi_Systemic errors.pdf
Size
1.21 MB
Format
Adobe PDF
Checksum (MD5)
1b40bdc902af0c58e2a73b6b1372f81a
Author(s)
Gentine, Pierre
Heusinkveld, B.
Entekhabi, Dara
Date Issued
September 2012
Journal
Water Resources Research
Publisher
American Geophysical Union (Wiley platform)
Citation
Gentine, P., D. Entekhabi, and B. Heusinkveld. “Systematic Errors in Ground Heat Flux Estimation and Their Correction.” Water Resources Research 48, no. 9 (September 2012). © 2012 American Geophysical Union
Version
Final published version
Abstract
Incoming radiation forcing at the land surface is partitioned among the components of the surface energy balance in varying proportions depending on the time scale of the forcing. Based on a land-atmosphere analytic continuum model, a numerical land surface model, and field observations we show that high-frequency fluctuations in incoming radiation (with period less than 6 h, for example, due to intermittent clouds) are preferentially partitioned toward ground heat flux. These higher frequencies are concentrated in the 0–1 cm surface soil layer. Subsequently, measurements even at a few centimeters deep in the soil profile miss part of the surface soil heat flux signal. The attenuation of the high-frequency soil heat flux spectrum throughout the soil profile leads to systematic errors in both measurements and modeling, which require a very fine sampling near the soil surface (0–1 cm). Calorimetric measurement techniques introduce a systematic error in the form of an artificial band-pass filter if the temperature probes are not placed at appropriate depths. In addition, the temporal calculation of the change in the heat storage term of the calorimetric method can further distort the reconstruction of the surface soil heat flux signal. A correction methodology is introduced which provides practical application as well as insights into the estimation of surface soil heat flux and the closure of surface energy balance based on field measurements.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2010wr010203
