Environmental & Climate Sciences Department Seminar

"Aerospace Engineering-Informed Atmospheric Science Research"

Presented by Foluso Ladeinde, SBU

Thursday, February 15, 2024, 11:00 am — Large Conference Room, Bldg. 490

Dr. Ladeinde will talk on the synergy between aerospace engineering and atmospheric science research, with the goal of establishing an SBU-BNL team where the expertise in the two fields could be leveraged. Dr. Ladeinde's expertise is in flow turbulence, at all speeds, with and without chemical reactions. He has devoted three decades to research, mostly theoretical and computational, within this scope, and has carried out truly pioneering work in several areas, including the direct numerical simulation (DNS) of compressible turbulence, modeling rarefied and non-equilibrium (non-continuum) flow fields, dynamics of supersonic combustion in hypersonic air vehicles, the physics of rotating detonation engines, and modern approaches to air-vehicle thermal management. More recently, Dr. Ladeinde has been contributing to the particle-resolved DNS efforts at BNL, with a focus on fundamental investigation of the interactions between turbulence, clouds, and aerosol particles and the implications for climate change. Dr. Ladeinde also envisions collaborations in other atmospheric science topics, including modeling of turbulent flows around unmanned aerial vehicles (UAVS) or drones for remote sensing, with the goal of assessing data and drone interference on measurements. There is also a great deal of interest in modeling of cloud chambers, the collision and coalescence of cloud particles, radiative heat transfer in the atmosphere, air vehicle-atmosphere interactions, including contrails modeling, and the modeling of microscale turbulent droplet clustering on radar cloud observations. A few details will be presented on some of these interests during the talk.

Hosted by: Ogo Enekwizu

Videoconference Instructions

Join ZoomGov Meeting https://bnl.zoomgov.com/j/1605694215?pwd=UVhiR1BXa2JJYzN6ZWlqelk1cXBkdz09 Meeting ID: 160 569 4215 Passcode: 709383

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