Articles | Volume 12, issue 4
https://doi.org/10.5194/bg-12-1131-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-1131-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A global carbon assimilation system based on a dual optimization method
H. Zheng
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
Y. Li
CORRESPONDING AUTHOR
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
J. M. Chen
CORRESPONDING AUTHOR
Department of Geography and Program in Planning, University of Toronto, Toronto, M5S 3G3, Canada
International Institute of Earth System Science, Nanjing University, Nanjing 210093, China
Department of Mathematics and Statistics, University of Otago, Dunedin 9016, New Zealand
Q. Huang
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
W. X. Huang
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
L. H. Wang
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
S. M. Li
Department of Statistics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
W. P. Yuan
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
X. Zheng
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
S. P. Zhang
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Z. Q. Chen
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
International Institute of Earth System Science, Nanjing University, Nanjing 210093, China
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Short summary
Ecological models often suffer from substantial biases due to inaccurate simulations of complex ecological processes. We introduce a set of scaling factors (parameters) for an ecological model on the basis of plant functional type (PFT) and latitudes. A global carbon assimilation system (GCAS-DOM) is developed by employing a dual optimization method (DOM) to invert the time-dependent ecological model parameter state and the net carbon flux state on 1 degree grid cells simultaneously.
Ecological models often suffer from substantial biases due to inaccurate simulations of complex...
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