SUBRAMANIAN, ANEESH
Visitor
Research Interests
Weather and climate predictability, climate dynamics, data assimilation and geophysical fluid dynamics.
Degrees
- Ph. D. (Scripps Institution of Oceanography)
- B. Tech. (IIT Madras)
Bio
I graduated from the Climate Research Division at Scripps Institution of Oceanography, UC San Diego. I was a post-doctoral scholar in the Predictability of Weather and Climate group and a lecturer at the Physics Dept. at the University of Oxford. The main focus of my work is currently in the better understanding predictability of extremes on weather and climate time scales and how they are related to large-scale climate variability. Some of my work is related to understanding atmospheric convection and its interaction with atmospheric dynamics, the Madden-Julian 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 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.