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

Adebiyi, Adeyemi A.; Kok, Jasper F.; Wang, Yang; Ito, Akinori; Ridley, David A.; Nabat, Pierre; Zhao, Chun

doi:https://doi.org/10.5194/acp-20-829-2020

Articles | Volume 20, issue 2

https://doi.org/10.5194/acp-20-829-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-829-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 2

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, Jasper F. Kok, Yang Wang, Akinori Ito, David A. Ridley, Pierre Nabat, and Chun Zhao

Supplement

https://doi.org/10.5194/acp-20-829-2020-supplement

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.