Richard Kleeman

Richard Kleeman is a Professor of Mathematics and Atmosphere/Ocean Science at New York University's Courant Institute, part of the College of Arts and Science. He holds dual affiliations within the Department of Mathematics and Atmosphere/Ocean Science. His research focuses on non-equilibrium statistical systems and applying information theory to improve understanding of dynamical system predictability, particularly in climate and geophysical contexts.

• Education: PhD in Mathematical Physics from University of Adelaide (1986), BSc in Theoretical Physics from Australian National University (1980)
• Expertise: Non-equilibrium statistical physics, ENSO predictability, stochastic climate modeling
• Affiliations: Courant Institute, NYU's Climate & Atmosphere Research Groups

His work explores predictability limits in mid-latitude atmospheric systems and tropical ocean-atmosphere interactions, with significant contributions to ENSO (El Niño–Southern Oscillation) dynamics modeling. Kleeman develops theoretical frameworks to analyze turbulent systems and quantifies predictability using entropy-based methods. His research bridges statistical physics, applied mathematics, and geophysical fluid dynamics.

Key projects include NSF-funded studies on mid-latitude predictability and ENSO variability, as well as stochastic modeling of decadal climate oscillations. He has pioneered path integral formulations for non-equilibrium systems and information-theoretic approaches to forecast uncertainty.

Active in climate model development, Kleeman's work addresses unresolved atmospheric variability impacts and spectral analysis of geophysical models. His contributions span both theoretical advancements and practical applications in climate prediction systems.