Aneesh Subramanian

Asst. Prof., CU Boulder

Email: aneeshcs @ colorado.edu (work), Solve a ReCaptcha for my mail id (personal)

Phone: +1 (303) 735-8657

Address: University of Colorado Boulder, 311 UCB, Boulder, CO 80309-0311

Publications | Education | CV

Now Hiring

There are current openings for undergraduate research assistants and graduate students (and occasionally for postdoctoral scholars) in the Climate Processes and Predictability Group in ATOC, CU Boulder. Highly motivated students interested in the areas of subseasonal predictability, data assimilation, Atmospheric River dynamics, tropical-extratropical teleconnections, and climate process research are encouraged to apply. Prospective graduate students should apply through the Department of Atmospheric and Oceanic Sciences (ATOC). Please visit the Opportunities page for more information.

Research Interests

  • Predictability and dynamics of weather and climate.

  • Tropical climate & weather dynamics, including ocean-coupled effects.

  • Atmospheric River dynamics and predictions, Tropical-extratropical teleconnections

  • Machine learning for improving prediction, parameterization and data assimilation in earth system models.

  • Multi-scale earth system modeling and high-performance computing.

  • Adapting advents in computational sciences to improve weather and climate modeling

About Me

I am currently an Assistant Professor at the Department of Atmospheric and Oceanic Sciences (ATOC) at the University of Colorado Boulder. I am also a visiting scientist at Center for Western Weather and Water Extremes at Scripps Institution of Oceanography, UC San Diego and a visiting scholar in the Predictability of Weather and Climate group in the Physics Dept. at the University of Oxford. I participate as an international collaborator in the research initiative Geophysical Flows Lab at the Indian Institute of Technology Madras, Chennai, India. I graduated from the Climate Research Division at Scripps Institution of Oceanography, UC San Diego in 2012. My research interests are varied and are mainly focused on weather and climate prediction, 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 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 previously obtained M.Sc. (Engg.) from Indian Institute of Science in 2006 and B.Tech from IIT Madras in 2004.