Supervisor: David Barber
Ph.D. University of Calgary, Physical Geography: Passive and Active Microwave Remote Sensing and Modeling of Layered Snow
M.Sc. University of Calgary, Physical Geography: Parameterization of Snow Cover Characteristics in a Discontinuous Snow Covered Region using Active Polarimetric Microwave Remote Sensing
B.Sc. (1st Class, Hons.) University of Calgary, Physical Geography: A qualitative analysis of the effect of snow physical properties associated with snow depth, on ground-based C-band microwave backscatter signatures over smooth first-year sea ice in the Beaufort Sea
My research ambitions bridge the development of spatial/temporal statistics and remote-sensing-based assimilation techniques for the inversion of snow and ice geophysical properties and distributions, in the pursuit of improving snow and ice inventorying and dynamic response modeling, at various spatial and temporal scales. My research interests extend those of my Master of Science and Doctoral efforts focused toward the coupling of active and passive microwave observations, radiative transfer simulations, and snow/ice thermodynamic models for more accurate accounting of complex snow stratigraphy, and geophysical inversion of snow covers. My previous findings indicate that more complex representations of snow stratigraphy and microstructure are necessary to accurate spatial and temporal retrievals of snow depth (SD) and snow water equivalents (SWE) in state-of-the-art assimilations schemes. The coupling of snow thermodynamic models with active and passive microwave remote sensing and radiative transfer simulations includes employing statistical analysis and optimization toward more accurate snow spatial and temporal distribution estimates. The greater goal of my work is to improve the understanding of dynamic snow and ice impact and response, as they relate to hydrological and climate applications and simulations.
Centre for Earth Observation Science
University of Manitoba