<p>This study investigates the dynamics of Tropical Cyclones (TC), with a particular emphasis on improving estimation of the Radius of Maximum Wind (RMW) and examining its implications for climate and oceanic processes. The RMW is a critical parameter for comprehending TC characteristics, including intensity, storm surges, and wave patterns. Despite its significance, research on RMW has been relatively limited compared to studies focusing on other TC attributes such as track and intensity. Enhancing the reliability of RMW estimates can contribute to better risk assessments, mitigation of TC-induced damage, and reductions in associated economic losses. The primary objective of this research is to propose a novel methodology for estimating the RMW within the Western North Pacific (WNP) basin, a region known for frequent TC formation. We aim to establish a relationship between the estimated central pressure, the latitude coordinate of the TC’s center, and the RMW. These parameters are estimated using historical TC data from the WNP basin spanning the period 2014-2023. To validate the proposed relationship, three statistical tests are employed: the <i>t</i>-test, root mean square error (RMSE), and error percentage. The results demonstrate that the mean error percentage of the proposed method here is 24.59<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\%\)</EquationSource> </InlineEquation>, which is relatively lower than existing methods, exhibiting error percentages of 45.00 <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\%\)</EquationSource> </InlineEquation> and 91.52 <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\%\)</EquationSource> </InlineEquation>. Furthermore, the RMSE of the proposed method is 10.91, indicating better performance as compared to existing methods. The t-test results confirm that this improvement is statistically significant. Although constrained by the temporal span of the dataset and uncertainties in best-track RMW estimates, the method offers practical operational value: because it requires only central pressure and latitude, both routinely available in real-time, it enables rapid and reliable RMW estimation when direct observations are limited. This enhances wind-field initialization, hazard assessment, and early-warning capability. In conclusion, the proposed framework enhances RMW estimation in the WNP, laying a foundation for improved TC forecasting and disaster risk reduction.</p>

A method for determining the radius of maximum wind of tropical cyclone over the Western North Pacific Basin

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发表日期：

2026年3月13日

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Monu Yadav,
Laxminarayan Das

摘要

This study investigates the dynamics of Tropical Cyclones (TC), with a particular emphasis on improving estimation of the Radius of Maximum Wind (RMW) and examining its implications for climate and oceanic processes. The RMW is a critical parameter for comprehending TC characteristics, including intensity, storm surges, and wave patterns. Despite its significance, research on RMW has been relatively limited compared to studies focusing on other TC attributes such as track and intensity. Enhancing the reliability of RMW estimates can contribute to better risk assessments, mitigation of TC-induced damage, and reductions in associated economic losses. The primary objective of this research is to propose a novel methodology for estimating the RMW within the Western North Pacific (WNP) basin, a region known for frequent TC formation. We aim to establish a relationship between the estimated central pressure, the latitude coordinate of the TC’s center, and the RMW. These parameters are estimated using historical TC data from the WNP basin spanning the period 2014-2023. To validate the proposed relationship, three statistical tests are employed: the t-test, root mean square error (RMSE), and error percentage. The results demonstrate that the mean error percentage of the proposed method here is 24.59 \(\%\) , which is relatively lower than existing methods, exhibiting error percentages of 45.00 \(\%\) and 91.52 \(\%\) . Furthermore, the RMSE of the proposed method is 10.91, indicating better performance as compared to existing methods. The t-test results confirm that this improvement is statistically significant. Although constrained by the temporal span of the dataset and uncertainties in best-track RMW estimates, the method offers practical operational value: because it requires only central pressure and latitude, both routinely available in real-time, it enables rapid and reliable RMW estimation when direct observations are limited. This enhances wind-field initialization, hazard assessment, and early-warning capability. In conclusion, the proposed framework enhances RMW estimation in the WNP, laying a foundation for improved TC forecasting and disaster risk reduction.