Articles | Volume 22, issue 6
https://doi.org/10.5194/bg-22-1509-2025
https://doi.org/10.5194/bg-22-1509-2025
Research article
 | 
20 Mar 2025
Research article |  | 20 Mar 2025

Constraining 2010–2020 Amazonian carbon flux estimates with satellite solar-induced fluorescence (SIF)

Archana Dayalu, Marikate Mountain, Bharat Rastogi, John B. Miller, and Luciana Gatti

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Cited articles

Alves, J. D. N., Ribeiro, A., Rody, Y. P., Loos, R. A., and Hall, K. B.: Carbon uptake and water vapor exchange in a pasture site in the Brazilian Cerrado, J. Hydrol., 594, 125943, https://doi.org/10.1016/j.jhydrol.2020.125943, 2021. 
de Almeida, C. T., Delgado, R. C., Galvão, L. S., Aragão, L. E., and Ramos, M. C.: Improvements of the MODIS Gross Primary Productivity model based on a comprehensive uncertainty assessment over the Brazilian Amazonia, ISPRS J. Photogramm., 145, 268–283, https://doi.org/10.1016/j.isprsjprs.2018.07.016, 2018. 
Andreae, M. O.: Emission of trace gases and aerosols from biomass burning – an updated assessment, Atmos. Chem. Phys., 19, 8523–8546, https://doi.org/10.5194/acp-19-8523-2019, 2019. 
Antonino, A.: AmeriFlux FLUXNET-1F BR-CST Caatinga Serra Talhada, Ver. 3-5, AmeriFlux AMP [data set], https://doi.org/10.17190/AMF/1902820, 2022. 
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The Amazon is facing unprecedented disturbance. Determining trends in Amazonia's carbon balance and its sensitivity to disturbance requires reliable vegetation models that adequately capture how its ecosystems exchange carbon with the atmosphere. Using ground- and satellite-based ecosystem products, we present an improved model of land–atmosphere vegetation carbon exchange across the Amazon. Our model agrees with independent aircraft observations from different locations.
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