The Two-Parameter Holland Pressure Model for Tropical Cyclones

Author:

Chen Peng123ORCID,Zhang Zhuo123,Li Yuting14,Ye Ronghui5,Li Ruijie6,Song Zhiyao123

Affiliation:

1. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China

2. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing Normal University, Nanjing 210023, China

3. Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

4. School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China

5. Pearl River Water Resources Research Institute, Pearl River Water Resources Commission, Guangzhou 510611, China

6. Key Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing 210098, China

Abstract

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.

Funder

National Natural Science Foundation of China

National R&D Program of China

Publisher

MDPI AG

Reference35 articles.

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