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Volume 12, issue 23
Biogeosciences, 12, 7185–7208, 2015
https://doi.org/10.5194/bg-12-7185-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 12, 7185–7208, 2015
https://doi.org/10.5194/bg-12-7185-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Dec 2015

Research article | 10 Dec 2015

Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

N. MacBean et al.

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Arora, V. K. and Boer, G. J.: A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Glob. Change Biol., 11, 39–59, https://doi.org/10.1111/j.1365-2486.2004.00890.x, 2005.
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Badeck, F. W., Bondeau, A., Böttcher, K., Doktor, D., Lucht, W., Schaber, J., and Sitch, S.: Responses of spring phenology to climate change, New Phytol., 162, 295–309, https://doi.org/10.1111/j.1469-8137.2004.01059.x, 2004.
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Previous model evaluation studies have shown that terrestrial biosphere models (TBMs) need a better representation of the leaf phenology, but the model deficiency could be related to incorrect model parameters or inaccurate model structure. This paper presents a framework for optimising the parameters of phenology models that are commonly used in TBMs. It further demonstrates that the optimisation can result in changes to trends in vegetation productivity and an improvement in gross C fluxes.
Previous model evaluation studies have shown that terrestrial biosphere models (TBMs) need a...
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