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20132026

Research activity per year

Personal profile

Research interests

Clouds remain one of the largest sources of uncertainty in weather and climate projections because their governing microphysical processes happen at scales far below the resolution of Earth system models. Bridging this fundamental scale gap is central to improving the prediction of clouds and precipitation at regional and global scales.
 
My research focuses on key processes in the life cycle of cloud and storm systems, with particular emphasis on:
  • Precipitation formation and development, including summer convective clouds and winter orographic precipitation over complex terrain
  • Cold cloud properties, including phase partitioning in mixed-phase clouds and evolution of cloud-top generating cells
  • Quantification of uncertainties of cloud representation in Earth system models across scales, informed by observations from field experiments (in-situ, surface, and remote sensing) and laboratory experiments

To investigate these processes, I utilize a hierarchy of high-resolution models, including
  • Lagrangian particle-based direct numerical simulation (DNS)
  • Parcel/bulk/box model
  • Large-eddy simulation (LES)
  • Mesoscale models
  • Regional climate simulations.

I am also actively involved in the development, implementation, and evaluation of new microphysical parameterizations within the Weather Research & Forecasting Model (WRF). A central component of my work is the validation and constraint of these models through the synergistic use of observational data from field campaigns and laboratory cloud chamber experiments.
 

Related documents

Education/Academic qualification

Atmospheric Science, PhD, McGill University

Atmospheric Science, BS, Sun Yat-Sen University

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