Articles | Volume 20, issue 2
Atmos. Chem. Phys., 20, 829–863, 2020
https://doi.org/10.5194/acp-20-829-2020
Atmos. Chem. Phys., 20, 829–863, 2020
https://doi.org/10.5194/acp-20-829-2020

Research article 23 Jan 2020

Research article | 23 Jan 2020

Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations

Adeyemi A. Adebiyi et al.

Data sets

Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1 Adebiyi, A., Kok J., Y. Wang, A. Ito, D. A. Ridley, P. Nabat, and C. Zhao https://doi.org/10.5281/zenodo.2620475

DustCOMM_v1 Input Dataset Adebiyi, A., Kok J., Y. Wang, A. Ito, D. A. Ridley, P. Nabat, and C. Zhao https://doi.org/10.5281/ZENODO.2620547

Model code and software

DustCOMM A. A. Adebiyi https://doi.org/10.5281/zenodo.2620556

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Short summary
Although atmospheric dust particles produce significant impacts on the Earth system, most climate models still have difficulty representing the basic processes that affect these particles. In this study, we present new constraints on dust properties that consistently outperform the conventional climate models, when compared to independent measurements. As a result, our constraints can be used to improve climate models or serve as an alternative in constraining dust impacts on the Earth system.
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