Articles | Volume 15, issue 9
Biogeosciences, 15, 2945–2960, 2018
https://doi.org/10.5194/bg-15-2945-2018
Biogeosciences, 15, 2945–2960, 2018
https://doi.org/10.5194/bg-15-2945-2018
Research article
16 May 2018
Research article | 16 May 2018

Footprint-weighted tile approach for a spruce forest and a nearby patchy clearing using the ACASA model

Kathrin Gatzsche et al.

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Cited articles

Aubinet, M., Feigenwinter, C., Heinesch, B., Bernhofer, C., Canepa, E., Lindroth, A., Montagnani, L., Rebmann, C., Sedlak, P., and Gorsel, E. V.: Direct advection measurements do not help to solve the night-time CO2 closure problem: Evidence from three different forests, Agr. Forest Meteorol., 150, 655–664, https://doi.org/10.1016/j.agrformet.2010.01.016, special Issue on Advection: ADVEX and Other Direct Advection Measurement Campaigns, 2010. a
Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy Covariance, A Practical Guide to Measurement and Data Analysis, Springer, Heidelberg, https://doi.org/10.1007/978-94-007-2351-1, 2012. a, b
Babel, W., Biermann, T., Coners, H., Falge, E., Seeber, E., Ingrisch, J., Schleuß, P.-M., Gerken, T., Leonbacher, J., Leipold, T., Willinghöfer, S., Schützenmeister, K., Shibistova, O., Becker, L., Hafner, S., Spielvogel, S., Li, X., Xu, X., Sun, Y., Zhang, L., Yang, Y., Ma, Y., Wesche, K., Graf, H.-F., Leuschner, C., Guggenberger, G., Kuzyakov, Y., Miehe, G., and Foken, T.: Pasture degradation modifies the water and carbon cycles of the Tibetan highlands, Biogeosciences, 11, 6633–6656, https://doi.org/10.5194/bg-11-6633-2014, 2014. a
Bergström, H. and Högström, U.: Turbulent exchange above a pine forest II. organized structures, Bound.-Lay. Meteorol., 49, 231–263, https://doi.org/10.1007/bf00120972, 1989. a
Biermann, T., Babel, W., Ma, W., Chen, X., Thiem, E., Ma, Y., and Foken, T.: Turbulent flux observations and modelling over a shallow lake and a wet grassland in the Nam Co basin, Tibetan Plateau, Theor. Appl. Climatol., 116, 301–316, https://doi.org/10.1007/s00704-013-0953-6, 2014. a
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The ecosystem is a significant sink of carbon dioxide. To quantify this sink, very complex and validated models are required. However, the comparison of modeled and measured energy and matter fluxes in a heterogeneous landscape is still a challenge. On the one hand, models must be applied for various surface types, while on the other hand the comparison of the fluxes is only possible based on the flux source areas. This paper treats the potential aggregation of modeled fluxes and its validation.
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