Nonlinear Dynamics

Cloud fields form a variety of complex patterns, that reflect the nonlinear nature of the system. These patterns influence the lifetime and radiative properties of cloud fields, two of the most important climate variables. As such, the patterns contain critical information about the system’s dynamic state and governing processes. By studying pattern formation in cloud fields, we gain insights into the interactions, feedback mechanisms, and competitive processes at play. Our research involves developing and analyzing pattern-forming differential equations and conceptual models that replicate cloud patterns and explain transitions between different dynamical modes.