Data-driven Exploration of Tropical Cyclone's Controllability
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915585414135808 |
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| author | Sawada, Yohei Minamide, Masashi Yan, Yuyue Hashimoto, Kazumune Duc, Le |
| author_facet | Sawada, Yohei Minamide, Masashi Yan, Yuyue Hashimoto, Kazumune Duc, Le |
| contents | Although the chaotic nature of the atmosphere may enable efficient control of tropical cyclones (TCs) via small-scale perturbations, few studies have proposed data-driven optimization methods to identify such perturbations. Here, we apply the recently proposed Ensemble Kalman Control (EnKC) to a TC simulation. We show that EnKC finds small-scale perturbations that mitigate TC. An EnKC-estimated reduction in surface water vapor, located approximately 250km from the TC center, suppresses convective activity and latent heat release in the eye wall, leading to a reduction of TC intensity. To advance the discovery of feasible TC mitigation strategies, we discuss the potential of this data-driven method for leveraging chaos, as well as its remaining challenges. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_25447 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Data-driven Exploration of Tropical Cyclone's Controllability Sawada, Yohei Minamide, Masashi Yan, Yuyue Hashimoto, Kazumune Duc, Le Geophysics Although the chaotic nature of the atmosphere may enable efficient control of tropical cyclones (TCs) via small-scale perturbations, few studies have proposed data-driven optimization methods to identify such perturbations. Here, we apply the recently proposed Ensemble Kalman Control (EnKC) to a TC simulation. We show that EnKC finds small-scale perturbations that mitigate TC. An EnKC-estimated reduction in surface water vapor, located approximately 250km from the TC center, suppresses convective activity and latent heat release in the eye wall, leading to a reduction of TC intensity. To advance the discovery of feasible TC mitigation strategies, we discuss the potential of this data-driven method for leveraging chaos, as well as its remaining challenges. |
| title | Data-driven Exploration of Tropical Cyclone's Controllability |
| topic | Geophysics |
| url | https://arxiv.org/abs/2510.25447 |