Seasonal predictability of tropical cyclone frequency over the western North Pacific by a large-ensemble climate model

Abstract We assessed the seasonal prediction skill of tropical cyclone (TC) frequency over the western North Pacific by the large-ensemble SINTEX-F dynamical system. Although the prediction skills were limited, the correlation skill for the June–August prediction issued in early May was statistically significant around Okinawa and Taiwan. Particularly, the high TC activity in summer 2018 was well predicted. We found that the 2018 positive Indian Ocean Dipole (IOD) contributed to the predictability by the dynamical prediction system: suppressed convection in the eastern tropical Indian Ocean enhanced divergent wind from the eastern tropical Indian Ocean to the Okinawa and Taiwan areas. This helped to generate low pressure in the target area, which was favorable to the TC activity. The IOD contributions to the predictability were also seen in the correlation analyses in 1982–2022 and some case studies in 1994 and 1998. This could be useful for actionable early warnings.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-04-03
DOI
https://doi.org/10.1038/s41612-025-00995-0
Citations
3
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
3.90

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article

Seasonal predictability of tropical cyclone frequency over the western North Pacific by a large-ensemble climate model

Takeshi Doi, Tadao Inoue, Masami Nonaka, Tomomichi Ogata
3 citations
npj Climate and Atmospheric Science
Tropical and Extratropical Cyclones Research
3.90
article

Seasonal predictability of tropical cyclone frequency over the western North Pacific by a large-ensemble climate model

Takeshi Doi, Tadao Inoue, Masami Nonaka, Tomomichi Ogata
article en
3 citations

Abstract

Abstract We assessed the seasonal prediction skill of tropical cyclone (TC) frequency over the western North Pacific by the large-ensemble SINTEX-F dynamical system. Although the prediction skills were limited, the correlation skill for the June–August prediction issued in early May was statistically significant around Okinawa and Taiwan. Particularly, the high TC activity in summer 2018 was well predicted. We found that the 2018 positive Indian Ocean Dipole (IOD) contributed to the predictability by the dynamical prediction system: suppressed convection in the eastern tropical Indian Ocean enhanced divergent wind from the eastern tropical Indian Ocean to the Okinawa and Taiwan areas. This helped to generate low pressure in the target area, which was favorable to the TC activity. The IOD contributions to the predictability were also seen in the correlation analyses in 1982–2022 and some case studies in 1994 and 1998. This could be useful for actionable early warnings.

npj Climate and Atmospheric ScienceVol. 8(1)
Japan Agency for Marine-Earth Science and Technology (JP)
Japan Society for the Promotion of Science London, Istituto Nazionale di Geofisica e Vulcanologia, Japan Society for the Promotion of Science, Japan Agency for Marine-Earth Science and Technology
Openalex Percentile: Top 8%
Tropical and Extratropical Cyclones Research
3.90
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Seasonal predictability of tropical cyclone frequency over the western North Pacific by a large-ensemble climate model — Takeshi Doi, Tadao Inoue, et al. · npj Climate and Atmospheric Science (2025) | TGRS Research Map | TGRS