Publication Abstracts

Meng et al. 2022

Meng, J., Y. Huang, D.M. Leung, L. Li, A.A. Adebiyi, C.L. Ryder, N.M. Mahowald, and J.F. Kok, 2022: Improved parameterization for the size distribution of emitted dust aerosols reduces model underestimation of super coarse dust. Geophys. Res. Lett., 49, no. 8, e2021GL097287, doi:10.1029/2021GL097287.

Aircraft measurement campaigns have revealed that super coarse dust (diameter > 10 µm) surprisingly accounts for approximately a quarter of aerosols by mass in the atmosphere. However, most global aerosol models either underestimate or do not include super coarse dust abundance. To address this problem, we use brittle fragmentation theory to develop a parameterization for the emitted dust size distribution that includes emission of super coarse dust. We implement this parameterization in the Community Earth System Model (CESM) and find that it brings the model in good agreement with aircraft measurements of super coarse dust close to dust source regions. However, the CESM still underestimates super coarse dust in dust outflow regions. Thus, we conclude that the model underestimation of super coarse atmospheric dust is in part due to the underestimation of super coarse dust emission and likely in part due to errors in deposition processes. %DO 10.1029/2021GL097287 %ER.

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BibTeX Citation

@article{me00300e,
  author={Meng, J. and Huang, Y. and Leung, D. M. and Li, L. and Adebiyi, A. A. and Ryder, C. L. and Mahowald, N. M. and Kok, J. F.},
  title={Improved parameterization for the size distribution of emitted dust aerosols reduces model underestimation of super coarse dust},
  year={2022},
  journal={Geophys. Res. Lett.},
  volume={49},
  number={8},
  pages={e2021GL097287},
  doi={10.1029/2021GL097287},
}

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RIS Citation

TY  - JOUR
ID  - me00300e
AU  - Meng, J.
AU  - Huang, Y.
AU  - Leung, D. M.
AU  - Li, L.
AU  - Adebiyi, A. A.
AU  - Ryder, C. L.
AU  - Mahowald, N. M.
AU  - Kok, J. F.
PY  - 2022
TI  - Improved parameterization for the size distribution of emitted dust aerosols reduces model underestimation of super coarse dust
JA  - Geophys. Res. Lett.
VL  - 49
IS  - 8
SP  - e2021GL097287
DO  - 10.1029/2021GL097287
ER  -

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