The Comparison of the Tropical Cyclone Number Over the Western North Pacific Between Summer and Autumn

Liu, Jia; Chen, Zhifan; Li, Jiang

doi:10.3389/feart.2020.597912

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…Hence, this leaves the IO with a very limited database to study TC risk but also to inform and calibrate synthetic TC models and the resulting large uncertainty is not surprising. In contrast, regions with high TC activity like the WP (~26 TCs per year 44 ) are better constrained, which is reflected in the narrow CIs (Fig. 2 ) and the least relative variability of TC track and hazard intensities; except for the STORM Cat.…”

Section: Discussionmentioning

confidence: 99%

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

et al. 2022

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Tropical cyclones (TCs) cause devastating damage to life and property. Historical TC data is scarce, complicating adequate TC risk assessments. Synthetic TC models are specifically designed to overcome this scarcity. While these models have been evaluated on their ability to simulate TC activity, no study to date has focused on model performance and applicability in TC risk assessments. This study performs the intercomparison of four different global-scale synthetic TC datasets in the impact space, comparing impact return period curves, probability of rare events, and hazard intensity distribution over land. We find that the model choice influences the costliest events, particularly in basins with limited TC activity. Modelled direct economic damages in the North Indian Ocean, for instance, range from 40 to 246 billion USD for the 100-yr event over the four hazard sets. We furthermore provide guidelines for the suitability of the different synthetic models for various research purposes.

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Section: Discussionmentioning

confidence: 99%

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Hence, this is a very limited database to study TC risk but also to inform and calibrate synthetic TC models to and the resulting large uncertainty is not surprising. In contrast, regions with high TC activity like the WP (~26 TCs per year 42 ) are better constrained, which is reflected in the narrow CIs (Fig. 2) and the least relative variability of TC track and hazard intensities; except for the STORM Cat.…”

Section: Discussionmentioning

confidence: 99%

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

Meiler

Vogt

Bloemendaal

et al. 2022

Preprint

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Tropical cyclones (TCs) cause devastating damage to life and property. Historical TC data is scarce, complicating adequate TC risk assessments. Synthetic TC models are specifically designed to overcome this scarcity. While these models have been evaluated on their ability to simulate TC activity, no study to date has focused on the model performance and applicability in TC risk assessments. This study performs the first model intercomparison of four different global-scale synthetic TC datasets in the impact space, comparing impact return period curves, probability of rare events, and hazard intensity distribution over land. We find that the model choice influences the costliest events, particularly in basins with limited TC activity. Modelled direct economic damages in the North Indian Ocean, for instance, range from 40 to 246 billion USD for the 100-yr event over the four synthetic hazard sets. We furthermore provide guidelines for the suitability of the different synthetic models for various research purposes.

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The abnormal track of super typhoon Hinnamnor (2022) and its interaction with the upper ocean

Wang,

Li,

Song

et al. 2023

Deep Sea Research Part I: Oceanographic Research Papers

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The Comparison of the Tropical Cyclone Number Over the Western North Pacific Between Summer and Autumn

Cited by 3 publications

References 36 publications

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

Intercomparison of regional loss estimates from global synthetic tropical cyclone models

The abnormal track of super typhoon Hinnamnor (2022) and its interaction with the upper ocean

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