arXiv (All)
open access
Butterfly Effect Confirmed in Global AI Weather Models: Evidence from Tropical Cyclone Forecasting
A paradox recently emerged in artificial intelligence (AI) weather prediction research. While some claim AI weather models cannot simulate atmospheric butterfly effect, this conflicts with AI models' limited predictability and advances in AI ensemble forecasting. This study demonstrates via countere
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Operational tropical cyclone forecasting with AI.#988414
- Climate Change temperature Prediction Using Just Neural Network#105780
- AI in Climate Change Mitigation#72860
- Supporting Code and Data for "MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon"#126987
- Supporting Code and Data for "MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon"#126986
Record · ID 1144346
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive