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职业迁徙
个人简介
Clouds represent one of the most common weather phenomena. Behind their tremendous variety in color, size and shape lie microphysical and dynamic processes that are needed to be theoretically understood. Explaining cumulus cloud formation is important for understanding warm rain formation and the atmospheric moisture cycling in the Earth’s climate system. Currently, the classical parcel theory and entrainment and mixing mechanisms are still applied to explain the evolution of cumulus cloud droplet spectra (Fig. 1). The cloud base is believed to be the main source of cloud droplets and the interface of cloud-clear air is thought to be the sink of them since evaporation is always expected to occur at the cloud-environment interface. Some features of cumulus clouds obtained from observations cannot be explained by the current theory.
During my doctoral research in McGill University, I established a one-and-a-half dimensional non-hydrostatic convective cloud and aerosol interaction model (NCCAIM) with spectral (bin) microphysics to test complex liquid-phase and ice-phase microphysical processes of cumulus clouds. Using this model, I investigated the impact of perturbation pressures on the cumulus cloud formation. Our studies show that the gradient force of dynamic perturbation pressure induced by the upward movement of cloud air will drive the cloud-free air upwards in the developing stage of cumulus clouds (Fig. 2). Fresh nucleation of cloud droplets will occur at the cloud-environment interface (Fig. 3).
Our recent work involves using high resolution numerical models with the supercomputer of Tianhe-1 to simulate the dynamical and microphysical processes of all kinds of weather phenomena with bin/bulk microphysics, and even the lightning processes of thunderstorms. Our work also includes cloud microphysics parameterizations, cumulus cloud parameterizations and model coupling studies for climate models and meso-scale models.
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crossref(2022)
Atmospheric and Oceanic Science Lettersno. 6 (2022): 100255
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