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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.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jarmo Mäkelä on behalf of the Authors (17 Oct 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Oct 2016) by Olivier Talagrand
RR by Anonymous Referee #1 (20 Oct 2016)
RR by Anonymous Referee #2 (19 Nov 2016)
ED: Publish subject to technical corrections (21 Nov 2016) by Olivier Talagrand
AR by Jarmo Mäkelä on behalf of the Authors (21 Nov 2016)  Author's response    Manuscript
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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