Articles | Volume 16, issue 24
https://doi.org/10.5194/bg-16-4851-2019
https://doi.org/10.5194/bg-16-4851-2019
Research article
 | 
20 Dec 2019
Research article |  | 20 Dec 2019

Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales

Jeroen Claessen, Annalisa Molini, Brecht Martens, Matteo Detto, Matthias Demuzere, and Diego G. Miralles

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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
ED: Reconsider after major revisions (01 Aug 2019) by Alexey V. Eliseev
AR by Jeroen Claessen on behalf of the Authors (19 Sep 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Sep 2019) by Alexey V. Eliseev
RR by Anonymous Referee #1 (07 Oct 2019)
RR by Giovanni Forzieri (23 Oct 2019)
ED: Publish subject to minor revisions (review by editor) (24 Oct 2019) by Alexey V. Eliseev
AR by Jeroen Claessen on behalf of the Authors (07 Nov 2019)  Author's response    Manuscript
ED: Publish as is (13 Nov 2019) by Alexey V. Eliseev
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Short summary
Bidirectional interactions between vegetation and climate are unraveled over short (monthly) and long (inter-annual) temporal scales. Analyses use a novel causal inference method based on wavelet theory. The performance of climate models at representing these interactions is benchmarked against satellite data. Climate models can reproduce the overall climate controls on vegetation at all temporal scales, while their performance at representing biophysical feedbacks on climate is less adequate.
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