Oliver Buhler works on fundamental topics in the interaction of waves and mean flows in geophysical fluids, statistical fluid dynamics, and data analysis methods.
Edwin Gerber investigates the internal variability of the atmosphere and its relation to climate change. He has developed a hierarchy of idealized models to understand the spatial and temporal structure of intraseasonal variability in the mid and high latitudes.
Dimitris Giannakis works on data-driven modeling of dynamical systems, focusing on coherent pattern extraction and statistical prediction. He applies these techniques to a range of problems in climate and fluid dynamics, including seasonal to decadal variability in the ocean and sea ice, and convective organization in the tropical atmosphere.
David works on the interaction of the global ocean and atmosphere with the great ice sheets, Antarctica and Greenland, and the surrounding sea ice, combining field observations with geophysical fluid dynamics theory to improve state estimation and predictability for climate models.
Richard Kleeman uses applied probability, stochastic models and non-equilibrium statistical physics to understand Earth's climate and improve predictability.
Andrew Majda has achieved high distinction in many branches of applied mathematics, turbulence and the climate system, particularly in the areas of tropical meteorology, and stochastic parameterizations for climate research.
Olivier Pauluis studies the dynamics of atmospheric flows such as thunderstorms, hurricanes, Monsoons and the Hadley circulation, and how they may be affected by climate change. He has developed new methods to investigate how thermodynamic processes affect the intensity of various weather systems.
Shafer conducts research focused on the scale and structure of baroclinic instability in Earth's ocean and atmosphere, mesoscale and submesoscale geophysical turbulence, connecting theory to observations of oceanic transport, and stirring and mixing in a range of geophysical flows.
Esteban G. Tabak
Esteban G. Tabak works on data analysis using tools from the mathematical theory of optimal transport, with applications that include weather prediction, the climate's modes of variability and the determination of currents from tracers. He also works on conceptual mathematical models of physical systems, including models for fluid mixing and the atmosphere's general circulation.
Laure's research focuses on ocean dynamics and climate change, predictability, and ocean turbulence using analytical and statistical tools, machine learning, a hierarchy of numerical models, and observations.