Machine learning based multi-index prediction of aviation turbulence over the Asia-Pacific
In-flight turbulence is recognized as a major safety hazard for the global aviation system, capable of causing serious injuries to crew and passengers as well as structural damage to the aircraft. Its prediction at 1 to 2 days ahead mainly relies on numerical weather prediction (NWP) models, which s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-12-01
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| Series: | Machine Learning with Applications |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827020300086 |