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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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
American Geophysical Union (AGU)
2025-03-01
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| Серія: | Journal of Advances in Modeling Earth Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1029/2024MS004479 |
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