Anita Ganesan

Visiting Scientist, MIT Center for Sustainability Science and Strategy
Professor of Atmospheric Chemistry, University of Bristol
Office
54-1312a

Bio

Professor Ganesan is a research collaborator with the MIT-led Advanced Global Atmospheric Gasses Experiment (AGAGE), a global monitoring network that measures over 40 trace gases at high frequency and precision. Ganesan's research involves using AGAGE measurements to improve understanding of the composition of the atmosphere, including greenhouse gases and ozone depleting substances. She investigates how sources and sinks of these trace gases vary from different systems and regions, using both measurements and models to derive this understanding.

Some of her interests include: 

  1. understanding why methane concentrations in the atmosphere exhibit large year-to-year changes, using data from surface, aircraft and satellite platforms, and incorporating information from isotopologues and other tracers,
  2. understanding emissions of halocarbons from key regions of the world such as India,
  3. using atmospheric measurements to investigate questions about biogeochemical processes, such as nitrous oxide emissions from the coastal ocean,
  4. developing novel inverse modeling strategies and advancing methods for uncertainty quantification in this approach conducting measurement programs to collect data from critical source regions in the world.

Education & Credentials

B.S., Cornell University, 2005
Ph.D., MIT, Earth, Atmospheric and Planetary Sciences, 2013
PhD Thesis: Quantifying Emissions of Greenhouse Gases from South Asia Through a Targeted Measurement Campaign

Recent Publications

Journal Article

Western, L.M. M. Rigby, J. Mühle, P.B. Krummel, C.R. Lunder, S. O'Doherty, S. Reimann, M.K. Vollmer, D. Young, B. Adam, P.J. Fraser, A.L. Ganesan, C.M. Harth, O. Hermansen, J. Kim, R.L. Langenfelds, Z.M. Loh, B. Mitrevski, J.R. Pitt, P.K. Salameh, R. Schmidt, K. Stanley, A.R. Stavert, H.-J. Wang, R.F. Weiss, and R.G. Prinn (2025)
Earth System Science Data , 17(11) (doi: 10.5194/essd-17-6557-2025)