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Journal Article

Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it

MPS-Authors
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Dunkl,  István       
Ocean Biogeochemistry, Department Climate Variability, MPI for Meteorology, Max Planck Society;
IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37188

Ilyina,  Tatiana       
Ocean Biogeochemistry, Department Climate Variability, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37113

Brovkin,  Victor       
Climate-Biogeosphere Interaction, Department Climate Variability, MPI for Meteorology, Max Planck Society;

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Fulltext (public)

egusphere-2023-65.pdf
(Preprint), 9MB

bg-20-3523-2023.pdf
(Publisher version), 6MB

Supplementary Material (public)

GPP-predictability_figures2.zip
(Supplementary material), 7MB

Citation

Dunkl, I., Lovenduski, N., Collalti, A., Arora, V. K., Ilyina, T., & Brovkin, V. (2023). Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it. Biogeosciences, 20, 3523-3538. doi:10.5194/bg-20-3523-2023.


Cite as: https://hdl.handle.net/21.11116/0000-000D-72B4-7
Abstract
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