Bethany Sutherland
Ph.D. Candidate - Atmospheric Science
Bio
Under the advisement of Dr. Nicholas Meskhidze, my doctoral research can be categorized into two main projects. One project focused on air quality and another on the radiative effect of aerosols. The common theme between these projects is the desire to test whether information about the aerosol type derived from remote High Spectral Resolution Lidar (HSRL) retrievals can be leveraged to improve our understanding of the role of aerosols in our atmosphere. I have several publications on a novel remote-sensing based methodology for estimating PM2.5 concentration and speciation from NASA HSRL retrievals; Sutherland et al. 2023 (https://doi.org/10.1016/j.atmosenv.2023.119719) and Meskhidze et al. 2021 (https://doi.org/10.1016/j.atmosenv.2021.118250). My other project involved modifying the GEOS-Chem model to estimate the amount of uncertainty that would be introduced in estimates of the direct radiative effect of aerosols if HSRL aerosol type-specific values for single scattering albedo and asymmetry parameter were used in the radiative transfer calculations.
Previously I have earned a M.S. in Applied Mathematics from the University of Washington (UW) and a B.S. in Physics with an atmospheric physics option from New Mexico Institute of Mining and Technology (NMT). My work has been supported by NASA FINESST and the North Carolina Space Grant.
Publications
- Wind-driven emissions of coarse-mode particles in an urban environment , ATMOSPHERIC CHEMISTRY AND PHYSICS (2024)
- Application of DIAL/HSRL and CATCH algorithm-based methodologies for surface PM2.5 concentrations during the KORUS-AQ campaign , ATMOSPHERIC ENVIRONMENT (2023)