VORTEX Heavy AI Framework: Global Tropical Cyclone Rapid Intensification Prediction with 21 Ocean Basins

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Authors: Baladi Samir
Cited by: 0

Abstract

VORTEX (Vortex Operational Real-Time Tracker & Extrapolation) is a cutting-edge AI-powered framework for predicting Rapid Intensification (RI) events in tropical cyclones across 21 global ocean basins. **Key Features:** - **21 Global Basins Coverage**: Atlantic (5), Pacific (9), Indian (5), Mediterranean, Southern Ocean - **Advanced AI Models**: LSTM + Transformer hybrid architecture - **High Accuracy**: 92% RI prediction accuracy in West Pacific basin - **Confidence Scoring**: 85-98% confidence intervals - **Real-time Processing**: Live dashboard with interactive basin visualization - **Comprehensive Database**: Supabase integration with 1000+ historical storms **Technical Specifications:** - Deep Learning: LSTM (Long Short-Term Memory) networks - Transformer Models: Multi-head attention mechanisms - Input Features: SST, wind shear, humidity, pressure, vorticity - Output: RI probability, confidence intervals, basin-specific predictions - Framework: PyTorch-based implementation **Applications:** - Operational tropical cyclone forecasting - Climate research and pattern analysis - Emergency management and disaster preparedness - Academic research in atmospheric sciences **Version 0.3.0 Highlights:** - Heavy AI implementation with 21-basin support - Enhanced LSTM + Transformer fusion - Supabase cloud database integration - Interactive Leaflet.js dashboard - Multi-platform deployment (GitLab, GitHub, Codeberg, Bitbucket) **Live Demo**: https://vortex-cyclone.netlify.app/dashboard.html **PyPI Package**: vortex-by-gitdeeper **Documentation**: https://gitlab.com/gitdeeper3/vortex/-/wikis/home

Fields of Study & Subjects

Tropical and Extratropical Cyclones Research Meteorological Phenomena and Simulations Ocean Waves and Remote Sensing

Publication details

Publication date
12 February 2026
Language
EN