Machine learning application and operational strategy for global low-level aviation turbulence forecasting
Abstract Low-level turbulence (LLT), primarily driven by terrain-induced and convective processes, remains a critical hazard to aviation safety. This study establishes the applicability of machine-learning to global LLT forecasting below 10,000 ft, alongside the LLT-adapted Graphical Turbulence Guid...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Portfolio
2025-11-01
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| Serija: | npj Climate and Atmospheric Science |
| Online dostop: | https://doi.org/10.1038/s41612-025-01260-0 |
| Oznake: |
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