I am a doctoral student in the Butman Lab. My central research goal is understanding how environmental change will impact carbon cycling in freshwater ecosystems at multiple spatial and temporal scales. My research focuses specifically on aquatic constituents that have demonstrated the potential to be estimated from satellite remote sensing, including chlorophyll-a, turbidity, and dissolved organic carbon. The concentrations and fluxes of these parameters relate to ecosystem respiration, nutrient availability and global elemental budgets.

My dissertation research uses a combination of field and satellite observations to map spatial synchrony in CDOM, turbidity and chlorophyll-a gradients within large rivers systems and high latitude lakes using Landsat 8 and Sentinel 2 satellite imagery. A major focus of my early dissertation work, conducted in collaboration with the USGS and NASA, was constraining uncertainties generated during atmospheric correction of satellite imagery over inland waters. I am thrilled to be at UW where my research has been supported through the eScience Institute, a NASA Earth and Space Science Fellowship, the Department of Energy Graduate Student Research Program, Achievement Rewards for College Scientists and the Natural Capital Project. 

Before UW, I received my master's degree in environmental science from the Yale School of Forestry & Environmental Studies and my B.A from Loyola University Chicago. My master's thesis research (advised by Dr. Peter Raymond, Yale University) investigated anthropogenic impacts to aquatic carbon cycling along wilderness to agricultural gradients with support from the Ucross High Plains Stewardship Initiative. My work, conducted in Wyoming's Bighorn range, addressed the shortage of direct measurements of carbon gas emissions from mountainous systems and suggests hydrology may play an important role in controlling seasonal development of biogeochemical hotspots. 

As a former public school teacher and Oakland Teaching Fellow, I am also committed to expanding pathways to STEM careers and building community in the sciences for underrepresented groups. 


Kuhn, Catherine, et al. "Optical Remote Sensing Algorithm Validation using High-Frequency Underway Biogeochemical Measurements in Three Large Global River Systems." AGU Fall Meeting Abstracts. 2017.

Kuhn, C., Bettigole, C., Glick, H. B., Seegmiller, L., Oliver, C. D., & Raymond, P. (2017). Patterns in stream greenhouse gas dynamics from mountains to plains in northcentral Wyoming. Journal of Geophysical Research: Biogeosciences122(9), 2173-2190.

Schwarz, B., Pestre, G., Tellman, B., Sullivan, J., Kuhn, C., Mahtta, R., ... & Hammett, L. (2018). Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal. In Earth Observation Open Science and Innovation (pp. 293-300). Springer, Cham.

Crawford, J. T., Butman, D. E., Loken, L. C., Stadler, P., Kuhn, C., & Striegl, R. G. (2017). Spatial variability of CO2 concentrations and biogeochemistry in the Lower Columbia River. Inland Waters7(4), 417-427.

Glick, Henry B., et al. "Modeling the Effects of Horizontal Positional Error on Classification Accuracy Statistics." Photogrammetric Engineering & Remote Sensing 82.10 (2016): 789-802.