Articles | Volume 20, issue 6
https://doi.org/10.5194/bg-20-1089-2023
https://doi.org/10.5194/bg-20-1089-2023
Research article
 | 
23 Mar 2023
Research article |  | 23 Mar 2023

Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model

Cédric Bacour, Natasha MacBean, Frédéric Chevallier, Sébastien Léonard, Ernest N. Koffi, and Philippe Peylin

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Latest update: 20 May 2024
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Short summary
The impact of assimilating different dataset combinations on regional to global-scale C budgets is explored with the ORCHIDEE model. Assimilating simultaneously multiple datasets is preferable to optimize the values of the model parameters and avoid model overfitting. The challenges in constraining soil C disequilibrium using atmospheric CO2 data are highlighted for an accurate prediction of the land sink distribution.
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