Articles | Volume 16, issue 1
https://doi.org/10.5194/bg-16-77-2019
https://doi.org/10.5194/bg-16-77-2019
Research article
 | 
11 Jan 2019
Research article |  | 11 Jan 2019

Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes

Debsunder Dutta, David S. Schimel, Ying Sun, Christiaan van der Tol, and Christian Frankenberg

Data sets

FLUXNET 2015 dataset FLUXNET community http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/

Model code and software

SCOPE model C. van der Tol https://github.com/Christiaanvandertol/SCOPE

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Short summary
Canopy structural and leaf photosynthesis parameterizations are often fixed over time in Earth system models and represent large sources of uncertainty in predictions of carbon and water fluxes. We develop a moving window nonlinear optimal parameter inversion framework using constraining flux and satellite reflectance observations. The results demonstrate the applicability of the approach for error reduction and capturing the seasonal variability of key ecosystem parameters.
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