Improving GCM Predictability of Mixed-Phase Clouds and Aerosol Interactions at High Latitudes with ARM Observations
- Univ. of Wyoming, Laramie, WY (United States)
- Univ. of Colorado, Boulder, CO (United States)
The overachieving goal of this project is to improve the predictability of mixed-phase clouds and aerosol interactions in the Community Atmosphere Model version 6 (CAM6) through comparison with the ARM observations. There are three main objectives of the proposed study: (1) Improve the representation of ice microphysical processes in mixed-phase clouds; (2) Test the performance of ice microphysics in CESM-CAM6 with the ARM observations in northern and southern high latitudes; and (3) Examine mixed-phase cloud microphysics-aerosol-turbulence-radiation interactions in CESM-CAM6. In this project, we have (1) Improved the representation of ice microphysical processes in mixed-phase clouds in CESM-CAM6 by implementing the marine organic aerosol (MOA) and treating the ice nucleating particles (INPs) from MOA and its impacts on mixed-phase clouds. We improved the treatment of ice depositional growth through the Wegener–Bergeron–Findeisen (WBF) process by considering the subgrid heterogeneous distributions between liquid droplets and ice crystals in mixed-phase clouds; (2) Tested the performance of ice microphysics in CESM-CAM6 with the ARM observations at high latitudes. We compared the simulated INP concentrations with the ARM observations, e.g., from M-PACE, ISDAC, INPOP, and other data (Mace Head, Zeppelin, CAPRICORN). We examined the impact of improved WBF treatment on model simulated Arctic mixed-phase clouds observed in the M-PACE field campaign. Seasonal variations of modeled mixed-phase cloud properties (LWO, IWP) are compared with the ground-based remote sensing retrievals at the ARM’s NSA $$Utqia\dot{g}vik$$ site; and (3) Examined mixed-phase cloud microphysics-aerosol-dynamics-radiation interactions in CESM-CAM6 that include the impacts of MOA INPs, and impacts of different model parameterizations (CLUBB versus UW turbulence & shallow convection schemes, MG2 versus MG1) on high-latitude mixed-phase cloud properties. Aerosol indirect effects of MOA through the liquid phase (droplet activation) and ice phase processes (e.g., the glaciation indirect effect) were investigated.
- Research Organization:
- Univ. of Wyoming, Laramie, WY (United States)
- Sponsoring Organization:
- Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
- DOE Contract Number:
- SC0018926
- OSTI ID:
- 1604159
- Report Number(s):
- DOE-UWY-SC0018926
- Resource Relation:
- Related Information: 1. Shi, Y., and X. Liu (2019), Dust radiative effects on climate by glaciating mixed-phase clouds, Geophysical Research Letters, 46, 6128–6137, https://doi.org/10.1029/2019GL082504.2. Zhang, M., S. Xie, X. Liu, W. Lin, K. Zhang, H.-Y. Ma, X. Zheng, and Y. Zhang (2020), Toward understanding the phase partitioning of Arctic mixed-phase clouds simulated in E3SM with ARM M-PACE observations, Earth and Space Science, in revision.3. Zhang, M., X. Liu, M. Diao, J. D’Alessandro, Y. Wang, C. Wu, D. Zhang, Z. Wang, and S. Xie (2019), Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioning of Arctic mixed-phase clouds with NCAR CAM5, Journal of Geophysical Research, 124, 13,071–13,090. https://doi.org/10.1029/2019JD030502.4. D’Alessandro, J., M. Diao, C. Wu, X. Liu, J. B. Jensen, and B. Stephens (2019), Cloud phase and relative humidity distributions over the Southern Ocean in austral summer based on in situ observations and CAM5 simulations, Journal of Climate, 32, 2781–2805. DOI: 10.1175/JCLI-D-18-0232.1.5. Zhao, B., Y. Wang, Y. Gu, K.-N. Liou, J. H. Jiang, J. Fan, X. Liu, L. Huang, and Y. L. Yung, Evidence for the ice nucleation ability of anthropogenic aerosols, Nature Geosciences, 12, 602–607, https://doi.org/10.1038/s41561-019-0389-4.6. Zhang, D. A. Vogelmann, P. Kollias, E. Luke, F. Yang, D. Lubin, Z. Wang, 2019: Comparison of Antarctic and Arctic Stratiform Mixed-phase Cloud Properties Using Ground-based Remote Sensing Measurements, Journal of Geophysical Research, 124, 10,186–10,204. https://doi.org/10.1029/2019JD030673.
- Country of Publication:
- United States
- Language:
- English
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