- NSF/CAREER: Integrated Studies of Polar Wave and Magnetosphere-Ionosphere-Thermosphere Couplings from New Observations and Whole Atmosphere Modeling, PI, 2018-2023
- NSF/CEDAR: Exploration of Lower-atmosphere Wave Forcing, Vertical Wave Coupling and Their Impacts on the Ionosphere and Thermosphere Variability Using WAM, Lidar and ISR, PI, 2014-2019
- NASA: Signatures of Energy Dissipation in the Magnetosphere-Ionosphere-Thermosphere Coupled System, PI, 2016-2019
- NSF/OPP: Collaborative Research: Characterizing Atmospheric Gravity Waves and their Effects on the Antarctic Ozone Layer, Co-I, 2017-2020
- Clemson University: Explore the atmospheric dynamics and space weather combining numerical modeling, ground-based and satellite observations, PI, 2016-2019
- NCAR/ASP: Exploring Energy Dissipation in the Magnetosphere-Ionosphere-Thermosphere Coupled System and its Impacts on Space Weather, PI, 2018 Summer
- Develop sophisticated planetary wave-gravity wave interactive model and study wave-wave interactions. Investigate the interannual and long-term variabilities of both planetary waves and gravity waves. Combine ground-based and space-borne measurements, mechanistic models, and generation circulation models (GCMs) to investigate the underlying physical mechanisms for the vertical wave coupling and wave variabilities.
- Compare and validate the high-to-medium frequency mesoscale gravity waves at high-resolution Whole Atmosphere Community Climate Model (WACCM) with lidar observations using 2-D wavelet. Derive momentum flux and estimate the impacts of gravity waves from high-resolution WACCM.
- Deduce the tidal fluxes using the high-resolution and high-precision Na Doppler lidar data and compare with theories and numerical simulations.
- Implemetation of realistic energy input to the magnetosphere-ionosphere-thermosphere coupled models such as TIEGCM and CTIPe to understand the localized energy deposition within a global context from the magnetosphere to the lower thermosphere, and to quantify the accompanied neutral-ion interaction processes.
- Derivation of the gravity wave characteristics in the polar stratosphere, mesosphere, and lower thermosphere. Compare wave characteristics resolved in the high-resolution weather model with observations. Implement improved gravity wave parameterization and help solve the "cold-pole" problem in the climate models for a better prediction of the climate change.
- Big data analyses, numerical modeling, and super-computating.
- Hand-on experiences and experimental skills of lidar technology.
Welcome to join the group to develop the interdisplinary knowledge and skills, and to work on various interesting and stimulating research projects and propose more for the future! Contact PI to apply.