Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches

Upton, Samuel; Reichstein, Markus; Gans, Fabian; Peters, Wouter; Kraft, Basil; Bastos, Ana

doi:https://doi.org/10.5194/acp-24-2555-2024

Articles | Volume 24, issue 4

https://doi.org/10.5194/acp-24-2555-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-2555-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 4

Research article

|

28 Feb 2024

Research article |

| 28 Feb 2024

Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches

Samuel Upton, Markus Reichstein, Fabian Gans, Wouter Peters, Basil Kraft, and Ana Bastos

Data sets

Global CO2 gridded flux fields from 9 atmospheric inversions in GCB2022 Ingrid T. Luijkx et al. https://doi.org/10.18160/7AH8-K1X4

Data from: Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches Samuel Upton et al. https://doi.org/10.5281/zenodo.10454297

Long-term global CO2 fluxes estimated by NICAM-based Inverse Simulation for Monitoring CO2 (NISMON-CO2) Yosuke Niwa https://doi.org/10.17595/20201127.001

Short summary

Data-driven eddy-covariance upscaled estimates of the global land–atmosphere net CO₂ exchange (NEE) show important mismatches with regional and global estimates based on atmospheric information. To address this, we create a model with a dual constraint based on bottom-up eddy-covariance data and top-down atmospheric inversion data. Our model overcomes shortcomings of each approach, producing improved NEE estimates from local to global scale, helping to reduce uncertainty in the carbon budget.