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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 23, issue 6
Nonlin. Processes Geophys., 23, 447–465, 2016
https://doi.org/10.5194/npg-23-447-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 23, 447–465, 2016
https://doi.org/10.5194/npg-23-447-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Dec 2016

Research article | 09 Dec 2016

Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements

Jarmo Mäkelä et al.

Data sets

FLUXNET re3data.org https://doi.org/10.17616/R36K9X

Model distribution Max-Planck-Institute for Meteorology http://www.mpimet.mpg.de/en/science/models/license/

Publications Copernicus
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Short summary
The land-based hydrological cycle is one of the key processes controlling the growth and wilting of plants and the amount of carbon vegetation can assimilate. Recent studies have shown that many land surface models have biases in this area. We optimized parameters in one such model (JSBACH) and were able to enhance the model performance in many respects, but the response to drought remained unaffected. Further studies into this aspect should include alternative stomatal conductance formulations.
The land-based hydrological cycle is one of the key processes controlling the growth and wilting...
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