Orateur
Description
Although the climate system is inherently chaotic, many idealized models employed in climate science display behaviors characteristic of low-dimensional nonlinear dynamical systems. Even models incorporating more comprehensive and detailed physical processes may reproduce similar behaviors in idealized configurations. Such models provide valuable conceptual frameworks for understanding modes of atmospheric or oceanic variability, cloud regimes, and fundamental geophysical processes. This presentation will provide selected examples of multiple equilibria and limit cycles arising in these systems, and will further detail one recent interdisciplinary collaboration between mathematicians and geophysical fluid dynamicists aimed at elucidating a peculiar spatial organization of convective clouds.