Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany

Author:

Eshonkulov RavshanORCID,Poyda Arne,Ingwersen Joachim,Wizemann Hans-Dieter,Weber Tobias K. D.ORCID,Kremer Pascal,Högy Petra,Pulatov Alim,Streck ThiloORCID

Abstract

Abstract. The energy balance of eddy-covariance (EC) measurements is typically not closed, resulting in one of the main challenges in evaluating and interpreting EC flux data. Energy balance closure (EBC) is crucial for validating and improving regional and global climate models. To investigate the nature of the gap in EBC for agroecosystems, we analyzed EC measurements from two climatically contrasting regions (Kraichgau – KR – and Swabian Jura – SJ) in southwestern Germany. Data were taken at six fully equipped EC sites from 2010 to 2017. The gap in EBC was quantified by ordinary linear regression, relating the energy balance ratio (EBR), calculated as the quotient of turbulent fluxes and available energy, to the residual energy term. In order to examine potential reasons for differences in EBC, we compared the EBC under varying environmental conditions and investigated a wide range of possible controls. Overall, the variation in EBC was found to be higher during winter than summer. Moreover, we determined that the site had a statistically significant effect on EBC but no significant effect on either crop or region (KR vs SJ). The time-variable footprints of all EC stations were estimated based on data measured in 2015, complimented by micro-topographic analyses along the prevailing wind direction. The smallest mean annual energy balance gap was 17 % in KR and 13 % in SJ. Highest EBRs were mostly found for winds from the prevailing wind direction. The spread of EBRs distinctly narrowed under unstable atmospheric conditions, strong buoyancy, and high friction velocities. Smaller footprint areas led to better EBC due to increasing homogeneity. Flow distortions caused by the back head of the anemometer negatively affected EBC during corresponding wind conditions.

Publisher

Copernicus GmbH

Subject

Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics

Reference82 articles.

1. Alfieri, J. G. and Blanken, P. D.: How representative is a point? The spatial variability of surface energy fluxes across short distances in a sand-sagebrush ecosystem, J. Arid. Environ., 87, 42–49, https://doi.org/10.1016/j.jaridenv.2012.04.010, 2012.

2. Anderson, R. G. and Wang, D.: Energy budget closure observed in paired eddy covariance towers with increased and continuous daily turbulence, Agr. Forest Meteorol., 184, 204–209, https://doi.org/10.1016/j.agrformet.2013.09.012, 2014.

3. Baldocchi, D. D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R.,<span id="page538"/> Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw, K. T. U., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082&lt;2415:FANTTS&gt;2.3.CO;2, 2001.

4. Bretz, F., Hothorn, T., and Westfall, P.: Multiple Comparisons Using R, Chapman and Hall, CRC Press, London, 2011.

5. Burba, G.: Eddy covariance method for scientific, industrial, agricultural and regulatory applications, LI-COR Biosciences, 2013.

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