Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production

Abstract A long‐standing challenge in studying the global carbon cycle has been understanding the factors controlling inter–annual variation (IAV) of carbon fluxes, and improving their representations in existing biogeochemical models. Here, we compared an optimality‐based model and a semi‐empirical...

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Principais autores:	Ranit De, Shanning Bao, Sujan Koirala, Alexander Brenning, Markus Reichstein, Torbern Tagesson, Michael Liddell, Andreas Ibrom, Sebastian Wolf, Ladislav Šigut, Lukas Hörtnagl, William Woodgate, Mika Korkiakoski, Lutz Merbold, T. Andrew Black, Marilyn Roland, Anne Klosterhalfen, Peter D. Blanken, Sara Knox, Simone Sabbatini, Bert Gielen, Leonardo Montagnani, Rasmus Fensholt, Georg Wohlfahrt, Ankur R. Desai, Eugénie Paul‐Limoges, Marta Galvagno, Albin Hammerle, Georg Jocher, Borja Ruiz Reverter, David Holl, Jiquan Chen, Luca Vitale, M. Altaf Arain, Nuno Carvalhais
Formato:	Artigo
Idioma:	Inglês
Publicado:	American Geophysical Union (AGU) 2025-05-01
Series:	Journal of Advances in Modeling Earth Systems
Assuntos:	inter–annual variability gross primary production eddy covariance light use efficiency optimality‐based model carbon flux
Acceso en liña:	https://doi.org/10.1029/2024MS004697
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