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<p>Tropical cyclones (TCs) are among the most destructive weather phenomena, significantly impacting atmosphere-ocean interactions and coastal regions. Accurate and high-resolution TC wind field datasets are critical for enhancing storm forecasting, disaster risk assessment, and understanding ocean-atmosphere interactions. Existing reanalysis datasets, such as ERA5, typically underestimate peak wind speeds and inadequately capture inner-core structural characteristics of TCs. To address these limitations, we introduce a globally applicable, high-resolution TC wind field dataset reconstructed from ERA5 through an integrated parametric correction approach. This novel methodology combines the Willoughby adjustment for open-ocean TCs, proportional correction methods for landfalling TCs, and a linear interpolation method to ensure smooth transitions in coastal regions. Comprehensive validation against satellite-based measurements (SMAP and WindSat), airborne observations (SFMR), and ground-based meteorological data demonstrates substantial enhancements in the accuracy of reconstructed TC tracks, maximum wind speeds, and radius of maximum wind. The resulting dataset provides significant improvements in representing global TC dynamics, and serving as a valuable resource to advance TC forecasting, climate modeling, and disaster resilience strategies.</p>

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A Global ERA5-based Tropical Cyclone Wind Field Dataset Enhanced by Integrated Parametric Correction Methods

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月15日

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  • Gengbin Liu,
  • Shuailong Jiang,
  • Minglin Zheng,
  • Sen Lin,
  • Yang Kong,
  • Peng Zhan

摘要

Tropical cyclones (TCs) are among the most destructive weather phenomena, significantly impacting atmosphere-ocean interactions and coastal regions. Accurate and high-resolution TC wind field datasets are critical for enhancing storm forecasting, disaster risk assessment, and understanding ocean-atmosphere interactions. Existing reanalysis datasets, such as ERA5, typically underestimate peak wind speeds and inadequately capture inner-core structural characteristics of TCs. To address these limitations, we introduce a globally applicable, high-resolution TC wind field dataset reconstructed from ERA5 through an integrated parametric correction approach. This novel methodology combines the Willoughby adjustment for open-ocean TCs, proportional correction methods for landfalling TCs, and a linear interpolation method to ensure smooth transitions in coastal regions. Comprehensive validation against satellite-based measurements (SMAP and WindSat), airborne observations (SFMR), and ground-based meteorological data demonstrates substantial enhancements in the accuracy of reconstructed TC tracks, maximum wind speeds, and radius of maximum wind. The resulting dataset provides significant improvements in representing global TC dynamics, and serving as a valuable resource to advance TC forecasting, climate modeling, and disaster resilience strategies.