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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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With respect to the ongoing discussion on the causes of the energy imbalance, a method for closing the latent heat flux gap based on lysimeter measurements is assessed at four measurement stations over grassland in humid and semi-arid climate. The applied partial closure yields excellent adjustments of eddy covariance data, as compared to results found in the literature. The method also allows a distinction between systematic and random deviation of eddy covariance and lysimeter measurements.
Preprints
https://doi.org/10.5194/hess-2020-299
https://doi.org/10.5194/hess-2020-299

  14 Jul 2020

14 Jul 2020

Review status: a revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

Partial energy balance closure of eddy covariance evaporation measurements using concurrent lysimeter observations over grassland

Peter Widmoser1 and Dominik Michel2 Peter Widmoser and Dominik Michel
  • 1Institute of Natural Resources Conservation, Department of Hydrology and Water Resources Management, Kiel University, 24118 Kiel, Germany
  • 2Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland

Abstract. With respect to the ongoing discussion on the causes of the energy imbalance and approaches to force energy balance closure a method had been proposed which allows the partial latent heat flux closure (Widmoser and Wohlfahrt; 2018). In the present paper, this method is applied to four measurement stations over grassland under humid and semi-arid climate, where lysimeters (LY) and eddy covariance (EC) measurements were taken simultaneously.

Results differ essentially from the ones quoted in literature. We distinguish between resulting EC-values weakly and strongly correlated to LY-observations as well as systematic and random deviations between LY- und EC-values. At the overall average, an excellent match could be achieved between LY and EC-measurements, which were partially closed with evaporation-linked weights. But there remain high differences between standard deviations of LY- and adjusted EC-values. For further studies we recommend data collected at time intervals even below half an hour.

No correlation could be found between correction evaporation weights and weather indices. Only for some datasets a positive correlation between evaporation and the correcting evaporation weight could be found. This effect appears pronounced for cases with high radiation and plant water stress. Without further knowledge on the causes of energy imbalance one might perform full closure using equally distributed weights. Full closure, however, is not dealt with in this paper.

Peter Widmoser and Dominik Michel

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peter Widmoser and Dominik Michel

Data sets

Eddy-covariance and lysimeter data of evapotranspiration Peter Widmoser and Dominik Michel https://doi.org/10.3929/ethz-b-000420733

Peter Widmoser and Dominik Michel

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Short summary
With respect to the ongoing discussion on the causes of the energy imbalance, a method for closing the latent heat flux gap based on lysimeter measurements is assessed at four measurement stations over grassland in humid and semi-arid climate. The applied partial closure yields excellent adjustments of eddy covariance data, as compared to results found in the literature. The method also allows a distinction between systematic and random deviation of eddy covariance and lysimeter measurements.
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