Research on Typhoon Prediction by Integrating Numerical Simulation and Deep Learning Methods
Typhoons rank among the most destructive natural disasters, significantly affecting human activities and daily life. Atmospheric numerical model wind fields, which are widely utilized, often underestimate typhoon intensity. This study proposes a model for predicting typhoon maximum wind speeds using...
Saved in:
Main Authors: | Tianyi Lv, Huaming Yu, Liangshi Lin, Yijun Tao, Xin Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/16/1/111 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Influence of Typhoons on Chemical Makeup of Rainwater in Zhanjiang, China
by: Zhen Zeng, et al.
Published: (2022-01-01) -
Paradigm Shift in Typhoon Forecasting for the Korean Peninsula: A Case Study on the Applicability of the Typhoon-Ready System
by: Hana Na, et al.
Published: (2025-01-01) -
Assessing the Impact of Cumulus Convection and Turbulence Parameterizations on Typhoon Precipitation Forecast
by: Yueya Wang, et al.
Published: (2025-01-01) -
3D Web Application of Wind Prediction Under Typhoon on Coastal Cities Based on Ensemble k-NN and OpenFOAM
by: Mamad Tamamadin, et al.
Published: (2025-01-01) -
Super Typhoons Simulation: A Comparison of WRF and Empirical Parameterized Models for High Wind Speeds
by: Haihua Fu, et al.
Published: (2025-01-01)