Fuxi Meteorology Model - WAIC Showcase
An interactive prototype built for WAIC to showcase a deep-learning weather model. The goal was to make complex AI outputs clear and accessible to both technical and business audiences.
I designed interactive interface combining data grids, map views, and filters. The design highlights how the model can be applied in real-world scenarios, helping diverse audiences understand its value.
Aviation
Airport area weather forecasting, route turbulence forecasting and passenger flow prediction.
Extreme Weather
Typhoon forecasting, heavy rainfall forecasting and severe weather alerts.
Renewable Energy
Power forecasting, disaster weather alerts and resource assessment.
Transportation
Land, maritime and aerial route planning
