Modeling Collaboratory

CLaSH’s modeling efforts focus on building open-source, physics-based and AI-enhanced models linking atmospheric forcing to geomorphic responses across the hazard cascade. These models quantify uncertainty and provide scalable frameworks for hazard prediction and scenario testing.

The bold “2040 vision” involves forecasting hazard cascades anywhere (geospatially) at any time (temporally) within our three-dimensional world. To do this sample collection and testing from new events are one part of multi-scale approach to rapid response data collection that inform our modeling program. We aim to advance the understanding of individual land surface hazard components and link hazard component models to create physics-based, data-informed hazard cascade models of the full atmosphere-to-sink land surface cascade.

CLaSH will be a catalyst for new approaches to hazard cascades that are presently completely (or mostly) ignored in risk mitigation by stakeholders e.g., geological services, consultants, insurance)

• unique open-access datasets for the hazard observatory and event areas
• development of scripts and modeling workflows in collaboration with CSDMS, and SimCenter
• engaging and supporting a wide range of stakeholders who are focused or risk mitigation at the regional and national stage through workshops, establishing standards of practice and other activities