Research Interests

My research aims to improve our understanding of the atmosphere and its complex processes through numerical simulations. However, there are many atmospheric processes that are not well understood or cannot be captured in current models. I am interested in constraining these uncertain atmospheric processes by combining measurements and models using techniques like data assimilation and inverse modeling.

PhD, Chemical Engineering, Carnegie Mellon University, 2020

BS, Chemical Engineering, University of Texas at Austin, 2015

Scopus page ; Google Scholar page

McGuffin, D.L.; Lucas, D.D., Morris, J.P., Spriggs, G.D., Knight, K.B. (2022) Super-Droplet Method to Simulate Lagrangian Microphysics of Nuclear Fallout in a Homogeneous Cloud. Journal of Geophysical Research: Atmospheres, 127(18), e2022JD036599. doi: 10.1029/2022JD036599

Gowardhan, A.A.; McGuffin, D.L.; Lucas, D.D.; Neuscamman, S.J.; Alvarez, O.; Glascoe, L.G. (2021) Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model. Atmosphere, 12, 1107. doi: 10.3390/atmos12091107

McGuffin, D. L., Huang, Y., Flagan, R. C., Petäjä, T., Ydstie, B. E., and Adams, P. J. (2021) Novel estimation of aerosol processes with particle size distribution measurements: a case study with TOMAS algorithm, Geoscientific Model Development, 14 (3), pp. 1821–1839, doi: 10.5194/gmd-14-1821-2021

McGuffin D. L., Ydstie, B. E., Adams, P. J. (2019) Distributed input observers to integrate satellite data with 3-D atmospheric models, Computers & Chemical Engineering, 130, doi: 10.1016/j.compchemeng.2019.106525.

McGuffin D. L., Ydstie, B. E., Adams, P. J. (2019) Integrating atmospheric models and measurements using passivity-based input observers, Computers & Chemical Engineering, 129, doi: 10.1016/j.compchemeng.2019.06.026.