This session welcomes interdisciplinary advances in theoretical, methodological and applied studies at the synergistic interface among physical, analytical, information-theoretic, kinematic-geometric, machine learning and systems intelligence approaches to system dynamics, multi-hazards and predictability across the Earth and Space Sciences. Special focus is given to unveil complex system dynamics, regimes, transitions, hazards and their interactions, along with their physical understanding, predictability and uncertainty, across multiple spatiotemporal scales. We encourage discussion on interdisciplinary physical and data-based approaches to system dynamic complexity, predictability and emergence, ranging from novel advances in stochastic, computational, information-theoretic and dynamical system analysis, to cross-cutting emerging pathways in information physics and systems intelligence with process understanding in mind. The session further encompasses practical aspects of working with systems intelligence and emerging technological approaches for strengthening systems analytics, causal discovery, model design and evaluation, predictability and uncertainty analysis, along with geophysical automated learning, model design, prediction and decision support.

• A - Atmospheric Sciences
• H - Hydrology
• IN - Informatics