Rainfall remains one of the most uncertain features of future climate change projections, yet it is a key dimension of human vulnerability to climate change. In the face of this uncertainty, paleoclimate scenarios can serve as ‘natural experiments’ with which to hone our ability to project changes in future hydroclimate.

My lab focuses on developing ways to use instances of past climate change to better understand the mechanisms that drive the spatial and temporal variability of rainfall. We use proxy measurements, mainly organic biomarkers, and climate modeling experiments of varying complexity.

Current projects include analyzing the role of tropical Atlantic and Pacific variability in forcing Central American drought, analyzing reorganizations of subtropical rainfall and ocean circulation during past greenhouse climate intervals, and understanding the sources of model bias in projections of regional rainfall change under global warming.

Please see information on the ‘Opportunities’ page if you are looking for an MS, PhD, or postdoctoral position.