WebUVisBox: A Scenario-Based Framework for Collaborative and Accessible 3D Uncertainty Visualization on the Web

Broadening the reach of uncertainty visualization requires overcoming the technical barriers of delivering complex, multi-view interfaces across diverse devices. We present WebUVisBox, a framework that addresses these challenges through a modular, scenario-based architecture. By employing a registry pattern and declarative configuration, the framework decouples domain-specific visualization logic from core infrastructure, facilitating rapid extensibility. Simultaneously, its reactive state management and responsive layout engine ensure accessibility, automatically adapting complex analytical tools for both desktop workspaces and mobile field environments. We demonstrate the framework's capabilities through two case studies-wildfire ensemble forecasts and neural network flow uncertainty. The results validate that WebUVisBox effectively balances developer flexibility with the rigorous demands of reproducible, cross-platform scientific analysis.