Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10401–10425, 2020
https://doi.org/10.5194/acp-20-10401-2020
Atmos. Chem. Phys., 20, 10401–10425, 2020
https://doi.org/10.5194/acp-20-10401-2020

Research article 08 Sep 2020

Research article | 08 Sep 2020

The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models

Chenglai Wu et al.

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Cited articles

Adachi, Y., Yukimoto, S., Deushi, M., Obata, A., Nakano, H., Tanaka, T. Y., Hosaka, M., Sakami, T., Yoshimura, H., Hirabara, M., Shindo, E., Tsujino, H., Mizuta, R., Yabu, S., Koshiro, T., Ose, T., and Kitoh, A.: Basic performance of a new earth system model of the Meteorological Research Institute (MRI-ESM 1), Pap. in Meteorol. Geophys., 64, 1–19, https://doi.org/10.2467/mripapers.64.1, 2013. 
Arora, V. K., Scinocca, J. F., Boer, G. J., Christian, J. R., Denman, K. L., Flato, G. M., Kharin, V. V., Lee, W. G., and Merryfield, W. J.: Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805, https://doi.org/10.1029/2010GL046270, 2011. 
Bell, M. L., Levy, J. K., and Lin, Z.: The effect of sandstorms and air pollution on cause-specific hospital admissions in Taipei, Taiwan, Occup. Environ. Med., 65, 104–111, https://doi.org/10.1136/oem.2006.031500, 2008. 
Bellouin, N., Rae, J., Jones, A., Johnson, C., Haywood, J., and Boucher, O.: Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate, J. Geophys. Res., 116, D20206, https://doi.org/10.1029/2011JD016074, 2011. 
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This study provides a comprehensive evaluation of the global dust cycle in 15 models participating in the fifth phase of the Coupled Model Intercomparison Project (CMIP5). We assess the global budget and associated uncertainties. We also quantify the discrepancies in each model. The results highlight the large uncertainties in both the locations and intensities of dust emission. Our study will serve as a useful reference for model communities and help further model improvements.
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