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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Latest update: 23 Apr 2024
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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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