Subharthi Chowdhuri

My research interests are in the areas of Experimental Fluid Mechanics, Fire-Turbulence Interaction, and Environmental Data Science. I have several years of experience in handling data from both in-situ and remote sensing meteorological instruments (All-in-one weather sensors, Aerosol instruments, Doppler Lidar, Eddy-Covariance systems, Microwave Radiometer, Radiosonde, Soil Moisture sensors), instruments on research aircrafts, particle image veloctymetry, global climate models, large-eddy simulations, direct numerical simulations, and wind-tunnel instruments. I am experienced with novel measurement techniques for environmental flows, such as Distributed Temperature Sensing (DTS) and Thermal Image Sensing (TIS). In my research, I develop novel turbulence models for applications in weather and climate science by adopting a multi-disciplinary approach with ideas being borrowed from Statistical Mechanics, Complex Networks, and Non-linear Dynamical Systems. My research has been highlighted by American Physical Society, University of California, Irvine, and American Institute of Physics. I am interested in how the concepts learned from turbulent flows can be effectively applied to predict extreme events in climate systems, to unravel the complex spatio-temporal structure of precipitation for hydrology applications, and to develop mitigation strategies for the prevention of economic damages due to wildfires.