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Time variable hydraulic parameters improve the performance of a mechanistic stand transpiration model. A case study of Mediterranean Scots pine sap flow data assimilation

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Carvalhais,  Nuno
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Sus, O., Poyatos, R., Barba, J., Carvalhais, N., Llorens, P., Williams, M., et al. (2014). Time variable hydraulic parameters improve the performance of a mechanistic stand transpiration model. A case study of Mediterranean Scots pine sap flow data assimilation. Agricultural and Forest Meteorology, 198-199, 168-180. doi:10.1016/j.agrformet.2014.08.009.


Cite as: https://hdl.handle.net/21.11116/0000-0007-5DC1-7
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