Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1133-2024
https://doi.org/10.5194/gmd-17-1133-2024
Methods for assessment of models
 | 
12 Feb 2024
Methods for assessment of models |  | 12 Feb 2024

Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data

Jonathan Hobbs, Matthias Katzfuss, Hai Nguyen, Vineet Yadav, and Junjie Liu

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Latest update: 24 Jul 2024
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Short summary
The cycling of carbon among the land, oceans, and atmosphere is a closely monitored process in the global climate system. These exchanges between the atmosphere and the surface can be quantified using a combination of atmospheric carbon dioxide observations and computer models. This study presents a statistical method for investigating the similarities and differences in the estimated surface–atmosphere carbon exchange when different computer model assumptions are invoked.