A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.
This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable o...
| الحاوية / القاعدة: | PLoS ONE |
|---|---|
| المؤلفون الرئيسيون: | , , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Public Library of Science (PLoS)
2025-01-01
|
| الوصول للمادة أونلاين: | https://doi.org/10.1371/journal.pone.0316548 |
