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Comparing data-driven and mechanistic models for predicting phenology in deciduous broadleaf forests

MPS-Authors
/persons/resource/persons277742

Reimers,  Christian
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons294378

Hafezi Rachti,  David
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons294761

Liu,  Guahua
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons206006

Winkler,  Alexander
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.48550/arXiv.2401.03960
(Preprint)

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BGC4465pr.pdf
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Citation

Reimers, C., Hafezi Rachti, D., Liu, G., & Winkler, A. (2024). Comparing data-driven and mechanistic models for predicting phenology in deciduous broadleaf forests. arXiv. doi:10.48550/arXiv.2401.03960.


Cite as: https://hdl.handle.net/21.11116/0000-000E-274B-3
Abstract
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