Postdoctoral Fellows: through this programs xxx

PhD Studentship: I am looking to recruit graduate students in large-scale atmospheric dynamics and climate dynamics. Opportunities exist to learn and apply geophysical fluid dynamics to better understand Earth's atmosphere and climate dynamics using a hierarchy of theoretical and idealized numerical models. Specific projects include jetstream dynamics, extreme weather, weather-climate continuum, the role of moisture on the mid-latitude circulation. Students will have the freedom to develop their research projects as they progress towards a Ph.D. Students will also have the opportunity to enroll in Purdue's Computational Interdisciplinary Graduate Programs to broaden their education. Students who majored in atmospheric sciences are preferred. Applicants with a strong background in math and physics and an interest in atmospheric science are also encouraged to apply. Please contact me at leiwang@purdue.edu if you are interested.

Master Studentship: GDSP program

Undergraduate student

Prof. Lei Wang from Purdue’s Weather and Climate Dynamics Laboratory has open positions for undergraduate research. Students will learn and apply atmospheric dynamics to better understand the dynamics of weather and climate. No prior research experience is needed. Students will be offered weekly tutorial sessions to hone their basic programming skills and to learn/refresh meteorological concepts. (see an example) 

 

Research goals involve understanding:

What is Atmospheric Blocking? What is a 'Bomb Cyclone?' What is the Jet Stream? How do weather systems and the jet stream work? How to use machine learning to predict extreme weather events? 

Potential projects include: 

Cold spell: Students will examine the large-scale atmospheric pattern associated with the extreme cold weather events, such as that happened in February 2021. 

Machine Learning: Students will learn basic techniques of machine learning, and apply that to detect large-scale atmospheric patterns that lead to extreme weather events. 

Atmospheric Blocking: Students will adopt various statistical tools to identify a major type of extreme weather events - atmospheric blocking from observations. 

'Bomb Cyclone:’ Students will adopt various statistical tools to identify another major type of extreme weather events - bomb cyclones from observations. 

Jetstream: Students will analyze the basic properties of jetstreams from observations. 

Numerical Modeling: Students will learn and run the E. Coli model for weather systems and jet stream - the two-layer quasi-geostrophic model on their laptop computers. 

Your idea! I would be happy to provide guidance and support you if you are passionate about the above-mentioned topics and want to design your own project. 

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