Through observational analyses and numerical simulation, we focus on the mechanism and predictability of squall lines and supercells, and their associated severe weathers, such as heavy rainfall, strong winds and tornadoes.
我们重点关注: 中尺度气象: 强对流天气、台风; 数值天气预报: 集合预报, 可预报性; 资料同化: 集合卡尔曼滤波
------ 飑线 Squall line ------
How does the interaction between surface convergence lines affect convection initiation?
What are the characteristics of convection initiation over complex underlying surface?
How different are the formation and organization mechanisms of squall lines in different synoptic environments?
------ 超级单体 Supercell ------
What is the initiation mechanism of supercells?
What is the predictability of supercells?
How different are the evolution mechanism of supercells in tropical cyclone vs. middle latitude?
How does supercellular tornadoes form？
------ 龙卷风 Tornado ------
What are the similarities and differences between tropical cyclone tornadoes vs. mid-latitude tornadoes?
What are the similarities and differences between tornadogenesis features in China vs. the United States?
------ 暴雨 Heavyrain ------
What are the evolution mechanism and predictability of warm-sector heavy rainfall，cold vortex heavy rainfall, and extreme rainfall?
------ Data Assimilation ------
Data assimilation is a process through which observations and a numerical model and their associated uncertainties are used to estimate as accurately as possible the state of the atmospheric flow and its associated uncertainties (Talagrand 1997)
Ensemble Kalman Filter (EnKF) is a very promising technique in data assimilation, which is a natural combination of ensemble forecast and Kalman filter: