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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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (30 Oct 2018) by Dan Yakir
AR by Debsunder Dutta on behalf of the Authors (17 Nov 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (23 Nov 2018) by Dan Yakir
RR by Peter Rayner (05 Dec 2018)
ED: Publish as is (16 Dec 2018) by Dan Yakir
AR by Debsunder Dutta on behalf of the Authors (17 Dec 2018)
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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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