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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model evaluation paper 06 Feb 2019

Model evaluation paper | 06 Feb 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler

Jarmo Mäkelä1, Jürgen Knauer2, Mika Aurela1, Andrew Black3, Martin Heimann2, Hideki Kobayashi4, Annalea Lohila1,5, Ivan Mammarella5, Hank Margolis6, Tiina Markkanen1, Jouni Susiluoto1, Tea Thum2, Toni Viskari1, Sönke Zaehle2, and Tuula Aalto1 Jarmo Mäkelä et al.
  • 1Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
  • 2Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
  • 3Department of Applied Biology, University of British Columbia, Canada
  • 4Institute of Arctic Climate and Environment Change Research, Japan Agency for Marine-Earth Science and Technology, Japan
  • 5Institute for Atmospheric and Earth System Research/Physics, P.O. Box 48, Faculty of Science, 00014 University of Helsinki, Finland
  • 6Department of Forest Sciences, University of Quebec, Canada

Abstract. We calibrated the JSBACH model with six different stomatal conductance formulations using measurements from 10 FLUXNET coniferous evergreen sites in the Boreal zone. The parameter posterior distributions were generated by adaptive population importance sampler and the optimal values by a simple stochastic optimisation algorithm. The observations used to constrain the model are evapotranspiration (ET) and gross primary production (GPP). We identified the key parameters in the calibration process. These parameters control the soil moisture stress function and the overall rate of carbon fixation.

We were able to improve the coefficient of determination and the model bias with all stomatal conductance formulations. There was no clear candidate for the best stomatal conductance model, although certain versions produced better estimates depending on the examined variable (ET, GPP) and the used metric. We were also able to significantly enhance the model behaviour during a drought event in a Finnish Scots pine forest site.

The JSBACH model was also modified to use a delayed effect of temperature for photosynthetic activity. This modification enabled the model to correctly time and replicate the springtime increase in GPP (and ET) for conifers throughout the measurements sites used in this study.

Jarmo Mäkelä et al.
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Status: final response (author comments only)
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Jarmo Mäkelä et al.
Jarmo Mäkelä et al.
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Publications Copernicus
Short summary
We assess the differences of six stomatal conductance functions, imbedded into a land-vegetation model, on ten boreal coniferous evergreen forest sites. We calibrate the model parameters using all six functions in a multi-year experiment, as well as for a separate drought event on one of the sites, using the adaptive population importance sampler. The analysis reveals weaknesses in the stomatal conductance formulation dependent model behaviour that we are able to partially amend.
We assess the differences of six stomatal conductance functions, imbedded into a land-vegetation...