Aneesh Subramanian (he/him/his)

My research interests are varied and are mainly focused on climate dynamics, predictability, data assimilation, and geophysical fluid dynamics.

The main focus of my work is currently in gaining a better understanding of processes that impact extreme weather especially on subseasonal-to-seasonal timescales as well as better modeling of the Madden-Jullian Oscillation and its teleconnections using global climate models (such as the Community Earth System Model (CESM) and ECMWF IFS). I am actively working on stochastic parameterization for better representation of physical processes in climate models. Another focus of my work is on data assimilation in coupled ocean-atmosphere models. In the past, I have worked on assimilating ship cruise and satellite observed data into a regional eddy-permitting ocean model of the South East Pacific to better understand mesoscale ocean processes in this region using a regional ocean model called ROMS. I also study nonlinear data assimilation techniques to improve upon the Ensemble Kalman Filter and Adjoint-based methods in data assimilation into simplified nonlinear models of the atmosphere and climate.

I am also a visiting scholar in the Predictability of Weather and Climate group in the Physics Dept. at the University of Oxford. I graduated from the Climate Research Division at Scripps Institution of Oceanography, UC San Diego in 2012.  I previously obtained M.Sc. (Engg.) from Indian Institute of Science in 2006 and B.Tech from IIT Madras in 2004.