My research will support the emerging spectrum of environmental issues throughout the cold region, applying remote sensing methods and mathematical modeling. I study the response of cold region hydrology related to changing the climate, such as lake ice, snow cover, land cover incorporate satellite observations of surface and subsurface processes in mesoscale numerical models. My current areas of interest include the development of statistical modeling and machine learning of the relationship between ice extent, environmental drivers, and water quality, the response of lakes to contemporary and projected climate conditions.
The research program will focus on the following themes:
Understanding past, present, and projected Arctic/sub-Arctic lake ice phenology and thickness.
Investigating the interplay between ice condition variability and lake water attributes.
The characterization and projection of lake ice subsurface- and surface-atmosphere interaction, and exchanging processes in a changing climate using advanced remote sensing techniques.
