Articles | Volume 14, issue 3
Earth Syst. Sci. Data, 14, 1153–1181, 2022
https://doi.org/10.5194/essd-14-1153-2022
Earth Syst. Sci. Data, 14, 1153–1181, 2022
https://doi.org/10.5194/essd-14-1153-2022
Data description paper
11 Mar 2022
Data description paper | 11 Mar 2022

Multi-site, multi-crop measurements in the soil–vegetation–atmosphere continuum: a comprehensive dataset from two climatically contrasting regions in southwestern Germany for the period 2009–2018

Tobias K. D. Weber et al.

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Cited articles

Biernath, C., Gayler, S., Bittner, S., Klein, C., Högy, P., Fangmeier, A., and Priesack, E.: Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers, Eur. J. Agron., 35, 71–82, https://doi.org/10.1016/j.eja.2011.04.001, 2011. 
Biernath, C., Bittner, S., Klein, C., Gayler, S., Hentschel, R., Hoffmann, P., Högy, P., Fangmeier, A., and Priesack, E.: Modeling acclimation of leaf photosynthesis to atmospheric CO2 enrichment, Eur. J. Agron., 48, 74–87, https://doi.org/10.1016/j.eja.2013.02.008, 2013. 
Bohm, K., Ingwersen, J., Milovac, J., and Streck, T.: Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature, Biogeosciences, 17, 2791–2805, https://doi.org/10.5194/bg-17-2791-2020, 2020. 
Bohm, K., Ingwersen, J., Milovac, J., and Streck, T.: Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature, Biogeosciences, 17, 2791–2805, https://doi.org/10.5194/bg-17-2791-2020, 2020. 
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Short summary
Presented are measurement results from six agricultural fields operated by local farmers in southwestern Germany over 9 years. Six eddy-covariance stations measuring water, energy, and carbon fluxes between the vegetated soil surface and the atmosphere provided the backbone of the measurement sites and were supplemented by extensive soil and vegetation state monitoring. The dataset is ideal for testing process models characterizing fluxes at the vegetated soil surface and in the atmosphere.