Aris Fernandez

Aris Fernandez

Alumni Students, Cohort I, NERTO, Masters

M.E, Electrical Engineering, Graduate, 09/01/2018

Cohort Level: Cohort - I

Career Goal: I plan to use the skills that I have acquired through the fellowship to find a job, hopefully a job related to wind data analysis and LIDAR development.

Expected Graduation Date: September 1, 2018

Degree: M.E Electrical Engineering

Research Title: Wind LIDAR Technology and Application to Atmospheric Dynamics, Weather, Wind Energy, and Air Quality Modeling and Forecasting

Research Synopsis: Advancing Doppler Lidar technologies to study complex land/atmosphere interactions is crucial for applications where understanding the dynamics of boundary layer phenomena is needed. The expansion of Doppler Lidar networks can improve the representativeness of atmospheric flows under conditions where turbulence characterization across wide spatial scales is critical for modeling the dynamics of the atmosphere. Boundary layer phenomena across these scales can be observed by co-operating Doppler Lidars with other ground based and satellite based instruments to provide new knowledge to advance a number of applications in which the exchange of energy between the land and the atmosphere is important. Applications to wind energy, urban planning, air quality and urban energy cycles are a few examples where advancements in Doppler wind LIDAR technologies can provide added value.

CESSRST Consortium

CESSRST is led by The City University of New York and brings together Hampton University, VA; University of Puerto Rico at Mayaguez, PR; San Diego State University, CA; University of Maryland Baltimore County, MD; University of Texas at El Paso, TX.