- Title
- A kernel density estimation approach and statistical generalized additive model of Western North Pacific typhoon activities
- Creator
- Wang, Xiang; Wahiduzzaman, Md; Yeasmin, Alea
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/191446
- Identifier
- vital:17819
- Identifier
-
https://doi.org/10.3390/atmos13071128
- Identifier
- ISSN:2073-4433 (ISSN)
- Abstract
- This paper presents a development of a statistical model of typhoon genesis, tracks based on kernel density estimation and a generalized additive model (GAM). Modeling of typhoon activity is ultimately beneficial to the people living in coastal zones, insurance/re-insurance companies, policy, planning and decision departments. A 50-year record (1972–2021) of typhoon track observations from the International Best Track Archive Climate Stewardship have been used to observe the distribution of typhoon genesis by kernel density estimation. The tracks are simulated through the development of a GAM. It reproduces the observation well. A distance calculation approach between observed and simulated tracks’ landfall have been used to validate the model and the model shows a very good skill (approximately 75%). © 2022 by the authors.
- Publisher
- MDPI
- Relation
- Atmosphere Vol. 13, no. 7 (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2022 by the authors
- Rights
- Open Access
- Subject
- 3701 Atmospheric sciences; 3702 Climate change science; Generalized additive model; Kernel density estimation; Typhoon; Western North Pacific
- Full Text
- Reviewed
- Funder
- This projected is supported by National Natural Science Foundation of China (Funding number: 41875070).
- Hits: 993
- Visitors: 389
- Downloads: 38
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Published version | 50 MB | Adobe Acrobat PDF | View Details Download |