My broad interests are atmospheric physics and environmental fluid dynamics. I combine theory, numerical simulations and observational analyses to improve our understanding of meteorology and climate, and guide the development of operational models of storms and clouds. I am currently a project scientist in atmospheric science affiliated with the University of California, Irvine and Columbia University. I work with Pierre Gentine, Michael Pritchard, and Stephan Rasp to develop the first neural-network representation of storms and clouds in models used to predict the future climate. During my PhD, I worked at the Lorenz Center at MIT with Timothy Cronin and Kerry Emanuel to better understand storms, radiation, and how they interact with atmospheric water in the Tropics.

Peer-reviewed Publications

(2019) Under review, Beucler, T., M. Pritchard, S. Rasp et al.: Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems.
(2019) Under review, Abbott, T., T. Cronin & T. Beucler: Convective dynamics and the response of precipitation extremes to warming in radiative-convective equilibrium.
(2019) Beucler, T., T. Abbott, T. Cronin & M. Pritchard: Comparing Convective Self‐Aggregation in Idealized Models to Observed Moist Static Energy Variability Near the Equator. Geophys. Res. Lett., 46.
(2019) Beucler, T.: Interaction between Water Vapor, Radiation and Convection in the Tropics, Ph.D. Thesis in Atmospheric Science.
(2018) Beucler, T. & T. Cronin: A Budget for the Size of Convective Self-Aggregation. Q.J.R. Meteorol. Soc., 145, 947-966.
(2018) Beucler, T., T. Cronin & K. Emanuel: A Linear Response Framework for Radiative-Convective Instability. J. Adv. Model. Earth Syst., 10(8), 1924-1951.
(2016) Beucler, T. & T. Cronin: Moisture-Radiative Cooling Instability. J. Adv. Model. Earth Syst., 8, 1620–1640.
(2016) Beucler, T.: A Correlated Stochastic Model for the Large-scale Advection, Condensation and Diffusion of Water Vapour. Q.J.R. Meteorol. Soc., 142, 1721–1731.
(2014) Beucler, T. & K. Emanuel: Self-aggregation phenomenon in cyclogenesis, Masters Thesis in Fluid Mechanics.

Selected Conference Presentations

(2019) Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. 2019 International Conference on Machine Learning.
(2018) A Spectral Budget for the Size of Convective Self-Aggregation. 33rd Conference on Hurricanes and Tropical Meteorology
(2017) A Moist Static Energy Perspective on Atmospheric Rivers17th Conference on Mesoscale Processes
(2017) The Vertical Structure of Radiative-Convective Instability21st Conference on Atmospheric and Oceanic Fluid Dynamics
(2016) Instabilities of Radiative Convective Equilibrium with an Interactive Surface32nd Conference on Hurricanes and Tropical Meteorology


When the Wind Blows: Predicting how Hurricanes Change with Climate. CaféSci Boston (June 2018)
Higher Grounds. MIT Climate Changed Ideas Competition (January 2018)