My research combines numerical models and observations to learn about the dynamics of Earth’s oceans and climate in the present, future, and geologic past.
My Google Scholar pagePhD in Physical Oceanography, 2016
MIT/WHOI Joint Program
BA in Physics, 2009
Columbia University
Combining models and data to constrain multiple components of the climate system for state estimation and initialized prediction.
Fitting numerical models to observations paints a physically consistent picture of the ocean 20,000 years ago.
We are using the MITgcm adjoint to infer atmospheric changes (like wind stress amplitudes, in red) that change abyssal watermass distributions and North Atlantic subpolar gyre dynamics.
Simulating ocean tracers is computationally expensive. New online extrapolation and preconditioning techniques allow us to estimate equilibria in a fraction of the time.
How can we quantify the limitations of knowledge about past climates? How can we reduce uncertainties through improved use of data and models?
NCAR is an exciting place to study ocean dynamics, earth system predictability, data assimilation, paleoclimates, and more. If you’re interested in visiting as a student either through NCAR or UCAR, applying as a postdoctoral fellow, or want to talk about project ideas, please reach out!
As of August 2020 I’m advertising an NCAR Postdoctoral Fellow position jointly advised by LuAnne Thompson. See here for more details.