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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 3
Nonlin. Processes Geophys., 24, 553–567, 2017
https://doi.org/10.5194/npg-24-553-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 24, 553–567, 2017
https://doi.org/10.5194/npg-24-553-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Sep 2017

Research article | 06 Sep 2017

Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model

Hazuki Arakida et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (28 Oct 2016)  Author's response
ED: Referee Nomination & Report Request started (01 Nov 2016) by Amit Apte
RR by Matthias Morzfeld (16 Nov 2016)
RR by Malaquias Pena (05 Dec 2016)
ED: Reconsider after major revisions (further review by Editor and Referees) (16 Feb 2017) by Amit Apte
AR by Hazuki Arakida on behalf of the Authors (20 Apr 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (13 May 2017) by Amit Apte
ED: Referee Nomination & Report Request started (16 May 2017) by Amit Apte
RR by Matthias Morzfeld (10 Jun 2017)
ED: Publish subject to technical corrections (24 Jul 2017) by Amit Apte
AR by Hazuki Arakida on behalf of the Authors (28 Jul 2017)  Author's response    Manuscript
Publications Copernicus
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Short summary
This is the first study assimilating the satellite-based leaf area index observations every 4 days into a numerical model simulating the growth and death of individual plants. The newly developed data assimilation system successfully reduced the uncertainties of the model parameters related to phenology and carbon dynamics. It also provides better estimates of the present vegetation structure which can be used as the initial states for the simulation of the future vegetation change.
This is the first study assimilating the satellite-based leaf area index observations every 4...
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