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

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Cited articles

Baldocchi, D.: An analytical solution for coupled leaf photosynthesis and stomatal conductance models, Tree Physiol., 14, 1069–1079, 1994. a
Baldocchi, D., Valentini, R., Running, S., Oechel, W., and Dahlman, R.: Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems, Glob. Change Biol., 2, 159–168, 1996. a
Baldocchi, D., Kelliher, F. M., Black, T. A., and Jarvis, P.: Climate and vegetation controls on boreal zone energy exchange, Glob. Change Biol., 6, 69–83, 2000. a
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., et al.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem–scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, 2001. a
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions, Progress in photosynthesis research, 221–224, Springer, Dordrecht, 1987. a, b
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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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