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Comparative Analysis of Near-Storm Environmental Characteristics of Tornadoes in Northern and Southern China Based on Himawari-8 Satellite and ERA5 Data.

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Title: Comparative Analysis of Near-Storm Environmental Characteristics of Tornadoes in Northern and Southern China Based on Himawari-8 Satellite and ERA5 Data.
Authors: Zhao, Yang1,2 (AUTHOR), Li, Ruoxuan2 (AUTHOR), Kong, Xiangzhen2,3 (AUTHOR) kongxz@nuist.edu.cn, Cheng, Cheng1,2,3 (AUTHOR), Chen, Yijian2 (AUTHOR), Zhuang, Kangkang2,3 (AUTHOR), Liu, Yinping2 (AUTHOR), Zhang, Qilin1,2 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1544. 21p.
Subjects: Tornadoes, Satellite-based remote sensing, Severe storms, Meteorology, Thunderstorms, Data assimilation
Geographic Terms: China
Abstract: Highlights: What are the main findings? A clear regional difference exists in Chinese tornadogenesis. Southern tornadoes are "dynamically driven" in moist environments. Northern tornadoes follow a "coupled thermodynamic-kinematic" paradigm requiring substantial instability accumulation. Significant tornadoes (EF ≥ 2) exhibit distinct pre-storm vertical stretching signatures. These signatures are captured by rapid Himawari-8 satellite cloud-top cooling (TBB ≤ −73 °C). What are the implications of the main findings? Combining high-frequency geostationary satellite observations with atmospheric reanalysis mitigates ground-radar blind spots. This approach provides a method for continuously monitoring pre-tornadic severe convective storms. The temporal intensification of environmental indices provides reliable, quantitative precursor signals for short-term nowcasting. This highlights the need to regionally recalibrate operational tornado warning thresholds in China. Continuous monitoring and nowcasting of tornadic near-storm environments remain challenging, particularly in regions with limited ground-based weather radar coverage. High-spatiotemporal-resolution geostationary satellite remote sensing offers a valuable approach to track the evolution of severe convective storms. Combining 10 min cloud-top brightness temperature (TBB) data from the Himawari-8 satellite and ERA5 reanalysis, this study investigates the atmospheric environments of 177 documented tornadoes in China from 2016 to 2023. Tracking storm convective centers using TBB minima reveals clear regional differences in tornadogenesis paradigms. Southern China tornadoes exhibit a "dynamically driven" pattern within quasi-steady, warm, and moist environments. These environments feature low Lifted Condensation Levels (LCL; ~790 m) and weak Convective Inhibition (CIN). Intense low-level wind shear and storm-relative helicity (SRH) dominate the convective triggering. Northern China tornadoes follow a "coupled thermodynamic-kinematic" paradigm under relatively drier and cooler backgrounds. Their initiation relies on the rapid, synchronized accumulation of Mixed-Layer convective available potential energy (MLCAPE) and deep-layer SRH. Furthermore, intensity-based comparative analysis indicates that significant tornadoes (Enhanced Fujita [EF] scale, EF ≥ 2) are favored by higher MLCAPE, deep-layer shear, and lower LCLs compared to weak ones (EF ≤ 1). Himawari-8 TBB data capture a more rapid pre-storm convective cloud-top cooling for strong tornadoes, with medians reaching −73 °C. This study demonstrates that combining high-frequency satellite observations with reanalysis data provides quantitative precursor signals for regional severe tornado nowcasting. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Comparative Analysis of Near-Storm Environmental Characteristics of Tornadoes in Northern and Southern China Based on Himawari-8 Satellite and ERA5 Data.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 10, p1544. 21p.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? A clear regional difference exists in Chinese tornadogenesis. Southern tornadoes are "dynamically driven" in moist environments. Northern tornadoes follow a "coupled thermodynamic-kinematic" paradigm requiring substantial instability accumulation. Significant tornadoes (EF ≥ 2) exhibit distinct pre-storm vertical stretching signatures. These signatures are captured by rapid Himawari-8 satellite cloud-top cooling (TBB ≤ −73 °C). What are the implications of the main findings? Combining high-frequency geostationary satellite observations with atmospheric reanalysis mitigates ground-radar blind spots. This approach provides a method for continuously monitoring pre-tornadic severe convective storms. The temporal intensification of environmental indices provides reliable, quantitative precursor signals for short-term nowcasting. This highlights the need to regionally recalibrate operational tornado warning thresholds in China. Continuous monitoring and nowcasting of tornadic near-storm environments remain challenging, particularly in regions with limited ground-based weather radar coverage. High-spatiotemporal-resolution geostationary satellite remote sensing offers a valuable approach to track the evolution of severe convective storms. Combining 10 min cloud-top brightness temperature (TBB) data from the Himawari-8 satellite and ERA5 reanalysis, this study investigates the atmospheric environments of 177 documented tornadoes in China from 2016 to 2023. Tracking storm convective centers using TBB minima reveals clear regional differences in tornadogenesis paradigms. Southern China tornadoes exhibit a "dynamically driven" pattern within quasi-steady, warm, and moist environments. These environments feature low Lifted Condensation Levels (LCL; ~790 m) and weak Convective Inhibition (CIN). Intense low-level wind shear and storm-relative helicity (SRH) dominate the convective triggering. Northern China tornadoes follow a "coupled thermodynamic-kinematic" paradigm under relatively drier and cooler backgrounds. Their initiation relies on the rapid, synchronized accumulation of Mixed-Layer convective available potential energy (MLCAPE) and deep-layer SRH. Furthermore, intensity-based comparative analysis indicates that significant tornadoes (Enhanced Fujita [EF] scale, EF ≥ 2) are favored by higher MLCAPE, deep-layer shear, and lower LCLs compared to weak ones (EF ≤ 1). Himawari-8 TBB data capture a more rapid pre-storm convective cloud-top cooling for strong tornadoes, with medians reaching −73 °C. This study demonstrates that combining high-frequency satellite observations with reanalysis data provides quantitative precursor signals for regional severe tornado nowcasting. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/rs18101544
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        Text: English
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        PageCount: 21
        StartPage: 1544
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      – SubjectFull: Severe storms
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