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Dr. Jahrul Alam, Associate Professor of Mathematics

Office: HH-3054
Phone: (709) 864-8071
Fax: (709) 864-3010

Scientists have struggled to understand turbulence. Whether it is a car or an airplane or a house, every such object of our daily life must pass through some hindrance of the turbulent air. In a clear sky, pilots often encounter turbulence which they cannot detect with radars. At night or in regions with a cool ground, episodes of wind gusting often appear as turbulent bursts. Scientists and engineers have difficulty to measure turbulent drag experienced by an object that interacts turbulence - known as drag crisis. Industries pay an extremely high cost to manage turbulence induced drag.

Understanding atmospheric turbulence also means to improve our knowledge on harvesting wind energy. I study atmospheric turbulence, and work for the development of a wavelet-based Large Eddy Simulation (LES) methodology to explain atmospheric turbulence. I am particularly interested on the boundary layer processes lying at the broader context of atmosphere-land-ocean interaction, where relatively small scale processes (<10km) have rich three-dimensional structures, but their influences on the meso-scale dynamics are poorly understood. This includes how the boundary layer turbulence could impact on mesoscale weather events, or possibly penetrate into upper atmosphere through internal wave breaking. Wind farms have the potential to convert the kinetic energy from these rich energy containing turbulence eddies.

My current research team utilizes object oriented C++ programming, adaptive mesh wavelet method, and/or fully Lagrangian techniques for explaining multi-scale nature of geophysical flows. Potential graduate applicants are encouraged to contact me. However, only candidates with suitable background are expected to get a reply due to the large number of emails I receive. Applicants with appropriate background may also discuss with me on the possibility of receiving slightly higher scholarship compared to current departmental average.

Currently, I am an Associate Professor at the Dept. of Mathematics, Memorial University, Canada. Before joining Memorial, I was a SHARCNET post-doctoral fellow in atmospheric modelling at the Department of Earth and Environmental Sciences , University of Waterloo, Canada.

I studied computational fluid dynamics, turbulence, and atmospheric science through my education at the U of Alberta, McMaster University, and U of Waterloo, respectively.