Andrew Grace
Dr. Andrew Grace received his PhD in Applied Mathematics from the University of Waterloo (Canada) in 2022, and his research was focused on understanding and numerically modeling the processes responsible for the transport of heat and pollutants over the winter in ice-covered freshwater lakes at high on small scales. His focus was specifically on flows driven by small spatial variations in water temperature. His recent research was focused on building simple models for the convective processes responsible for efficiently mixing masses of water in the near-shore regions of lakes in early spring. These processes are potentially significant contributors to the annual thermal cycles of freshwater lakes.
Dr. Grace joined ND-ECI in September of 2023, and is working under Dr. David Richter (CEEES) focusing on projects related to the transport of particles by atmospheric turbulence. His current research has been focused on modeling the transport of fine dust particles through the atmospheric boundary layer. Using numerical simulations and a mathematical framework, he aims to build a model that can provide improved predictions of the magnitude of dust particle settling enhancement by turbulence in the lowest layer of the atmosphere. Applications of the modeling efforts include improved prediction of the dust transport in the atmosphere at local to global scales, which can lead to better estimates of the solar and thermal radiation balance in the atmosphere, as well as improved parameterizations of dust transport responsible for cloud nucleation.