T44. Numerical modelling of Earth processes and risks: methodologies and perspectives for quantitative insights in the understanding of the phenomena

Our Planet is a dynamic place, with changes occurring on highly variable timescales, ranging from the sudden onset of landslides, earthquakes, or volcanic eruptions to the gradual reshaping of coastlines, mountains, and sedimentary basins over geologic time. To understand the broad range of physical processes in the Earth system, the use of numerical models with varying complexities and computational requirements is increasingly widespread.
Recent advancements in high-powered computing have led to models capable of finer spatial and temporal resolutions, including multi-physical processes, thus better representing the dynamic natural environment. Developing such numerical models is highly challenging, as many environmental processes have unique features and exhibit significant spatial variability. Consequently, the growing need to quantify uncertainty in model outputs, along with the rapid increase in the volume and variety of 'big data', has led to more complex datasets. These datasets are crucial for scientists, model users, and decision makers to answer key questions, prompting the development of workflows for integrating numerical models and processing their outputs.
This session invites contributions on physically-based numerical models of natural phenomena for more effective multi-hazard and risk assessments. These assessments are crucial for mitigating catastrophic impacts on human lives, as well as on structures and infrastructures. We strongly encourage submissions involving numerical models of theoretical problems, parametric analyses, and specific applications in case studies of Earth-related processes and natural hazards. Contributions on the development of workflows for managing numerical models and their outputs are also highly welcomed.