Spatial Attribution of Temporal Variability in Global Land‐Atmosphere CO2 Exchange Using a Model‐Data Integration Framework

Abstract The spatial contribution to the global land‐atmosphere carbon dioxide (CO2) exchange is crucial in understanding and projecting the global carbon cycle, yet different studies diverge on the dominant regions. Informing land models with observational data is a promising way to reduce the para...

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Autori principali:	H. Lee, M. Jung, N. Carvalhais, M. Reichstein, M. Forkel, A. A. Bloom, J. Pacheco‐Labrador, S. Koirala
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	American Geophysical Union (AGU) 2025-03-01
Serie:	Journal of Advances in Modeling Earth Systems
Soggetti:	carbon dioxide land‐atmosphere interaction model‐data integration interannual variability attribution
Accesso online:	https://doi.org/10.1029/2024MS004479
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