I analyze output from state-of-the-art Earth System Models (ESMs) to understand the impacts of internal climate variability and anthropogenic climate change on regional ocean biogeochemistry. In particular, I focus on carbonate chemistry in Eastern Boundary Upwelling Systems and more recently the Southern Ocean.
My toolkit generally includes multi-model and single-model ensembles. I have used these to assess signal-to-noise ratios in long-term projections of upwelling (Brady et al., 2017), to isolate the influence of internal climate variability on air-sea CO fluxes (Brady et al., 2019), and to make multiyear forecasts of pH (Brady et al., 2020). On occasion, I assess satellite and in situ products, but am most eager to use supercomputers in my work.
I contribute to a number of open-source python packages for the geosciences and am a core developer for climpred and esmtools. I am passionate about data visualization and have recently been working with ParaView to make movies of high-resolution climate models.
I am a Ph.D. candidate in Atmospheric and Oceanic Sciences at the University of Colorado Boulder. I collaborate with the NOAA Earth System Research Lab, National Center for Atmospheric Research, Los Alamos National Lab, and Oak Ridge National Lab. My research is supported by the Department of Energy through a Computational Science Graduate Fellowship.
|May 2, 2020||My recent work on making multiyear forecasts of surface pH in the California Current system is now available at Nature Communications.|