Synthetic Tropical Cyclone Generation for Risk Analysis-Reference-Cited by-同舟云学术

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Synthetic Tropical Cyclone Generation for Risk Analysis

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:ASCE Inspire 2023
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Author:

Nadal-Caraballo Norberto C.¹²³²²,Liu Zhensheng¹²³²²,Yuan Xinzhe¹²³²²,Li Jiaming¹²³²²,Zhao Yi¹²³²²,Li Ruilong¹²³²²,Yan Grace¹²³²²

Affiliation:

1. Engineer Research and Development Center, Coastal and Hydraulics Laboratory, US Army Corps of Engineers, Vicksburg, MS.

2. Wind Hazard Mitigation (WHAM) Laboratory, Dept. of Civil, Environmental, and Architectural Engineering, Missouri Univ. of Science and Technology, Rolla, MO

3. Research Engineer, Verisk Analytics, Boston, MA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485163.010

Reference7 articles.

1. A statistical dynamics track model of tropical cyclones for assessing typhoon wind hazard in the coast of southeast China

2. Stochastic simulation of tropical cyclone tracks in the northwest pacific region with classification model;Huang W. F.;Journal of Tropical Meteorology,2020

3. Li, Q., and Racine, J. S. (2007). Nonparametric econometrics: theory and practice. Princeton University Press.

4. Cross-validation of multivariate densities;Sain S. R.;Journal of the American Statistical Association,1994

5. Scott, D. W. (2012). Multivariate density estimation and visualization. Handbook of computational statistics: Concepts and methods, 549–569.

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