Inter–Annual Variability of Model Parameters Improves Simulation of Annual Gross Primary Production

Abstract Parametric uncertainty can hinder land surface models (LSM) from accurately simulating carbon fluxes, such as gross primary production (GPP). These models generally cannot capture inter–annual variability (IAV) of fluxes well due to missing processes, and temporally varying parameters can p...

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Xehetasun bibliografikoak

Egile Nagusiak:	Ranit De, Alexander Brenning, Markus Reichstein, Ladislav Šigut, Borja Ruiz Reverter, Mika Korkiakoski, Eugénie Paul‐Limoges, Peter D. Blanken, T. Andrew Black, Bert Gielen, Torbern Tagesson, Georg Wohlfahrt, Leonardo Montagnani, Sebastian Wolf, Jiquan Chen, Michael Liddell, Ankur R. Desai, Sujan Koirala, Nuno Carvalhais
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	American Geophysical Union (AGU) 2026-06-01
Saila:	Journal of Advances in Modeling Earth Systems
Gaiak:	parameter variability interannual variability gross primary productivity optimality Moel light use efficiency temporally varying parameters
Sarrera elektronikoa:	https://doi.org/10.1029/2025MS005116
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