An improved azimuth-dependent Holland model for typhoons along the Zhejiang coast prior to landfall based on WRF–ARW simulations

Xi, Zhong; Qin, Shunquan; Shang, Daimeng

doi:10.1007/s11069-023-05944-9

Cited by 5 publications

(1 citation statement)

References 49 publications

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“…Sun [19] employed a backpropagation neural network to estimate the Holland B parameter. Zhong [20] developed a framework that contemplates the azimuth-dependent Holland B parameter. Despite the empirical nature of these formulas, resulting from a statistical analysis of observed data, they lack a solid theoretical foundation.…”

Section: Introductionmentioning

confidence: 99%

The Two-Parameter Holland Pressure Model for Tropical Cyclones

Chen,

Zhang,

et al. 2024

JMSE

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In this study, we propose a two-parameter symmetric tropical cyclone (TC) pressure model, derived from the fundamental equations of the TC wind field. This model rectifies the deficits of the traditional TC pressure model mathematically. It incorporates a new parameter into the Holland pressure model and establishes relationship equations between the new parameter, Holland parameter B, and TC attributes such as pressure difference, maximum wind speed radius, geographical latitude, and inflow angle. This derivation is achieved theoretically. Our model not only tackles the limitations of the traditional pressure model by meeting the gradient wind equations, but it also resolves the uncertainty issue of parameter B arising from varied factor selection, data time frames, and research maritime areas. As practical applications, we apply both this model and the corresponding wind field model to five TC profiles. Further, we juxtapose them with primary pressure and wind field models and conduct error and statistical significance analyses. Our findings reveal that the two-parameter model produces results on par with the Holland model and superior to Fujita and Takahashi models. Notably, reanalysis of the wind field consistently underestimates the wind field near the maximum wind speed. Hence, a hybrid wind field, synthesized from the modeled and reanalyzed wind fields, appears to be one of the most effective methodologies for reconstructing a tropical cyclone’s wind field.

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Section: Introductionmentioning

confidence: 99%