Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5363-2026
https://doi.org/10.5194/gmd-19-5363-2026
Model evaluation paper
 | 
23 Jun 2026
Model evaluation paper |  | 23 Jun 2026

Ecosystem climate sensitivities drive the divergence in aerosol-induced carbon uptake across CMIP6 models

Zhaoyang Zhang, Meng Fan, Minghui Tao, Yunhui Tan, and Quan Wang

Related authors

Correcting aerosol extinction coefficient vertical structure biases in GEOS-chem via a physics-informed transformer with physical mechanism diagnosis
Jiajun Xiong, Yi Wang, Jun Wang, Yanyu Wang, Meng Zhou, Minghui Tao, Wenhui Dong, Jhoon Kim, and Lunche Wang
Atmos. Chem. Phys., 26, 8225–8253, https://doi.org/10.5194/acp-26-8225-2026,https://doi.org/10.5194/acp-26-8225-2026, 2026
Short summary
TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution
Dianrun Zhao, Shanshan Du, Chu Zou, Longfei Tian, Meng Fan, Yulu Du, and Liangyun Liu
Atmos. Meas. Tech., 18, 3647–3667, https://doi.org/10.5194/amt-18-3647-2025,https://doi.org/10.5194/amt-18-3647-2025, 2025
Short summary
MACHINE LEARNING BASED BIAS CORRECTION FOR MODIS AEROSOL OPTICAL DEPTH IN BEIJING
M. Wang, M. Fan, Z. Wang, L. Chen, L. Bai, Y. Chen, and M. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 395–402, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-395-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-395-2023, 2023

Cited articles

Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray-Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., Piao, S. L., Sitch, S., Viovy, N., Wiltshire, A., and Zhao, M. S.: Spatiotemporal patterns of terrestrial gross primary production: A review, Rev. Geophys., 53, 785–818, https://doi.org/10.1002/2015rg000483, 2015. 
Arora, V. K.: Simulating energy and carbon fluxes over winter wheat using coupled land surface and terrestrial ecosystem models, Agr. Forest Meteorol., 118, 21–47, https://doi.org/10.1016/s0168-1923(03)00073-x, 2003. 
Bloomfield, K. J., Stocker, B. D., Keenan, T. F., and Prentice, I. C.: Environmental controls on the light use efficiency of terrestrial gross primary production, Glob. Change Biol., 29, 1037–1053, https://doi.org/10.1111/gcb.16511, 2022. 
Download
Short summary
In this paper, we examined the inter-model differences among five Earth System Models in simulating the impact of aerosols on plant productivity. All models showed that the impact of human-made aerosols on global plant productivity was negative, but with the divergence in the amount of reduction. We found that the divergence was mostly caused by the parameterization of model in simulating canopy photosynthesis, which determines how strongly plants react to changes in climatic factors.
Share