Typhoon Tracks Regulated by Feedbacks of Fine-Scale Clouds to Environment

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Hauptverfasser: Zhao, Haoran, Zhang, Shaoqing, Gao, Yang, Wu, Lixin, Cao, Yihan, Cai, Wenju, Wang, Bin, Leung, L. Ruby, Lu, Zebin, Zhong, Zhong, Yu, Xiaolin, Li, Mingkui, Zhu, Chenyu
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Veröffentlicht: 2025
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author Zhao, Haoran
Zhang, Shaoqing
Gao, Yang
Wu, Lixin
Cao, Yihan
Cai, Wenju
Wang, Bin
Leung, L. Ruby
Lu, Zebin
Zhong, Zhong
Yu, Xiaolin
Li, Mingkui
Zhu, Chenyu
author_facet Zhao, Haoran
Zhang, Shaoqing
Gao, Yang
Wu, Lixin
Cao, Yihan
Cai, Wenju
Wang, Bin
Leung, L. Ruby
Lu, Zebin
Zhong, Zhong
Yu, Xiaolin
Li, Mingkui
Zhu, Chenyu
contents Accurate tropical cyclone (TC) track prediction is crucial for mitigating the catastrophic impacts of TCs on human life and the environment. Despite decades of research on tropical cyclone (TC) track prediction, large errors known as track forecast busts (TFBs) occur frequently, and their causes remain poorly understood. Here, we examine a few dozens of TCs using a unique TC downscaling strategy that can quantitatively assess the sensitivity of TC track on the strength of feedbacks of fine-scale clouds to environment. We show that as TFBs have a weaker environmental steering that favors scattering cumulonimbus clouds, capturing asymmetric distribution of planetary vorticity advection induced by such fine-scale clouds corrects TFBs by 60 percent. Our clear identification of such important TC track predictability source promises continuous improvement of TC track prediction as finer-scale TC clouds and their interactions with environment are better resolved as model larger-scale behaviors have improved.
format Preprint
id arxiv_https___arxiv_org_abs_2509_26257
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Typhoon Tracks Regulated by Feedbacks of Fine-Scale Clouds to Environment
Zhao, Haoran
Zhang, Shaoqing
Gao, Yang
Wu, Lixin
Cao, Yihan
Cai, Wenju
Wang, Bin
Leung, L. Ruby
Lu, Zebin
Zhong, Zhong
Yu, Xiaolin
Li, Mingkui
Zhu, Chenyu
Atmospheric and Oceanic Physics
Accurate tropical cyclone (TC) track prediction is crucial for mitigating the catastrophic impacts of TCs on human life and the environment. Despite decades of research on tropical cyclone (TC) track prediction, large errors known as track forecast busts (TFBs) occur frequently, and their causes remain poorly understood. Here, we examine a few dozens of TCs using a unique TC downscaling strategy that can quantitatively assess the sensitivity of TC track on the strength of feedbacks of fine-scale clouds to environment. We show that as TFBs have a weaker environmental steering that favors scattering cumulonimbus clouds, capturing asymmetric distribution of planetary vorticity advection induced by such fine-scale clouds corrects TFBs by 60 percent. Our clear identification of such important TC track predictability source promises continuous improvement of TC track prediction as finer-scale TC clouds and their interactions with environment are better resolved as model larger-scale behaviors have improved.
title Typhoon Tracks Regulated by Feedbacks of Fine-Scale Clouds to Environment
topic Atmospheric and Oceanic Physics
url https://arxiv.org/abs/2509.26257