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

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.

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Publication Details

Journal
Scientific Data
Published
2025-08-15
DOI
https://doi.org/10.1038/s41597-025-05789-w
Citations
8
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
10.41

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

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8 citations
Scientific Data
Tropical and Extratropical Cyclones Research
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article

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

Gengbin Liu, Minglin Zheng, Shuailong Jiang, Peng Zhan, Sen Lin, Yang Kong
article en
8 citations

Abstract

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.

Scientific DataVol. 12(1)
Southern University of Science and Technology (CN), Wuhan University (CN), Ningbo Science and Technology Bureau (CN), China National Commission for Disaster Reduction (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Nanjing University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 1%
Tropical and Extratropical Cyclones Research
10.41
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