Product Description (2025.11.15 update)
Real-time TC intensity estimates and +24-h intensity forecast
The hybrid GAN-CNN deep learning model of Chen et al. (2021) is used for real-time intensity estimation [blue dots and black line (3-h smoothing)]. This plot also shows the predicted intensity distribution (shading) at +24 h and the rapid intensification probability for various thresholds.
Update schedule: hourly for active TCs
  • Chen, B.-F.*, Y.-T. Kuo, T.-S. Huang, 2023: A Deep Learning Ensemble Approach for Predicting Tropical Cyclone Rapid Intensification. Atmospheric Science Letters. 24(5), e1151.
  • Chen, B., B.-F. Chen*, Y.-N. Chen, 2021: Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. In Proceedings of the AAAI Conference on Artificial Intelligence. 35(17), 14721-14728.
  • Chen, B.-F.*, B. Chen, H. Lin, and R. L. Elsberry, 2019: Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks. Weather and Forecasting. 34(2), 447-465.
Real-time TC intensity estimates and +24-h intensity forecast
TC structure analysis and 2-D surface wind analysis
The hybrid GAN-CNN deep learning model of Chen et al. (2021) is used for real-time intensity estimation [blue dots and black line (3-h smoothing)]. This plot also shows the predicted intensity distribution (shading) at +24 h and the rapid intensification probability for various thresholds.
Update schedule: hourly for active TCs
  • Chen, B., B.-F. Chen*, C.-M. Hsiao, 2021: CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis. In Proceedings of the AAAI Conference on Artificial Intelligence. 35(2), 991-998.
TC structure analysis and 2-D surface wind analysis
TC satellite imagery
TC satellite images used for the deep learning models are displayed, including the Himawari-8 IR and WV images, and GAN-generated mimic PMW. Update schedule: hourly for active TCs
Update schedule: hourly for active TCs
  • Chen, B., B.-F. Chen*, Y.-N. Chen, 2021: Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. In Proceedings of the AAAI Conference on Artificial Intelligence. 35(17), 14721-14728.
TC satellite imagery