Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization
Atmospheric Kármán vortex streets, which frequently emerge on the leeward side of isolated islands under specific atmospheric conditions, play a critical role in large-scale atmospheric dynamics. However, their automated detection and the influence of atmospheric variables on their formation remain...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2025.2522492 |
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