Earth operates as a complex, self-regulating cybernetic system driven by both internal processes and external astronomical forcing. This session explores the intricate feedback loops between the Solar System’s gravitational dynamics and Earth’s interconnected geospheres—including the atmosphere, hydrosphere, lithosphere, biosphere, pedosphere, troposphere, magnetosphere, and ionosphere. We focus specifically on how these systemic interactions govern sub-system variations, with a core emphasis on water balance components and hydrological cycles.
To decipher these non-linear, multi-scale relationships, traditional deterministic models must be augmented with data-driven methodologies. We invite contributions that advance empirical research tasks, conceptual frameworks, and system-level models. We particularly welcome studies utilizing artificial intelligence (AI), statistical learning, machine learning, and advanced data-mining techniques to analyze observational and proxy datasets. By bridging planetary dynamics, cybernetic geoscience, and modern data science, this session aims to foster a holistic understanding of Earth’s systemic balance and improve our predictive capabilities in a changing cosmic and terrestrial environment.