Prediction of Typhoon Pathway Points Based on Zhang Extrapolation (ZE) Formula for Points 1 to 3

This study evaluates the effectiveness of Zhang extrapolation (ZE) formulas, on the basis of equally spaced time point sequence, in predicting typhoon pathways using quite limited historical data. The ZE formulas for 1 through 3 points are tested on typhoons Saudel, Molave, and Krovanh, using a dataset from the Wenzhou typhoon network (WTN). Statistical analyses reveal that the point-1 extrapolation consistently offers superior accuracy, with mean absolute error and great-circle distance metrics satisfying practical requirements. Comparisons with other methods show the proposed ZE formulas deliver higher precision while keeping simplicity, greatly enhancing their applicabilities in maritime safety and emergency response.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icist63249.2024.10805258
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of Typhoon Pathway Points Based on Zhang Extrapolation (ZE) Formula for Points 1 to 3

Litian Li, Chengwen Tang, Wei Wang, Yunong Zhang
Remote Sensing and Land Use
article

Prediction of Typhoon Pathway Points Based on Zhang Extrapolation (ZE) Formula for Points 1 to 3

Litian Li, Chengwen Tang, Wei Wang, Yunong Zhang
article en

Abstract

This study evaluates the effectiveness of Zhang extrapolation (ZE) formulas, on the basis of equally spaced time point sequence, in predicting typhoon pathways using quite limited historical data. The ZE formulas for 1 through 3 points are tested on typhoons Saudel, Molave, and Krovanh, using a dataset from the Wenzhou typhoon network (WTN). Statistical analyses reveal that the point-1 extrapolation consistently offers superior accuracy, with mean absolute error and great-circle distance metrics satisfying practical requirements. Comparisons with other methods show the proposed ZE formulas deliver higher precision while keeping simplicity, greatly enhancing their applicabilities in maritime safety and emergency response.

Sun Yat-sen University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 73%
Remote Sensing and Land Use
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