Articles | Volume 19, issue 1
https://doi.org/10.5194/bg-19-29-2022
https://doi.org/10.5194/bg-19-29-2022
Research article
 | 
03 Jan 2022
Research article |  | 03 Jan 2022

On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes

Yujie Wang and Christian Frankenberg

Model code and software

CliMA Land code archive Y. Wang and C. Frankenberh https://doi.org/10.22002/D1.2316

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Short summary
Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
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