News

Roving Seminar 2024

2024-12-23

The Typhoon Committee Roving Seminar (TCRS) 2024 was successfully held in hybrid mode on 17 – 19 December 2024 in Bangkok, Thailand. It was organized by ESCAP/WMO Typhoon Committee (TC) and hosted by the Thai Meteorological Department (TMD).

The Seminar was attended by 82 participants from China (4); Hong Kong, China (10); Japan (2); Lao PDR (1); Macao, China (5); Malaysia (3); Philippines (1); Thailand (46); Viet Nam (1) and India (9). Seven resource persons came from China (2); Japan (2); Thailand (2) and USA (1) and one representative came from the Typhoon Committee Secretariat (TCS). 

The theme of this seminar was on “Artificial Intelligence for Enhanced Tropical Cyclone Prediction and Emergency Response” with speakers of the seminar as follows:


Topic

Speaker

1. Introduction to Artificial Intelligence

Professor Dr. Chidchanok Lursinsap

Chulalongkorn University, Thailand

2. Machine Learning Algorithms for Prediction

Professor Dr. Chidchanok Lursinsap Chulalongkorn University, Thailand

3. AI Tools and Platforms for Tropical Cyclone Prediction

Associate Professor Dr. Chanh Kieu

Indiana University, Bloomington, USA

4. AI in Meteorological Data Analysis

Associate Professor Dr. Chanh Kieu

Indiana University, Bloomington, USA

5. AI-driven Weather Forecasting at National Meteorological Center of CMA

Dr. ZHOU Kanghui,

China Meteorological Administration (online)

6. AI-powered Hydrological Modeling for Operational Flood Forecasting

Dr. MIYAMOTO Mamoru

WGH Typhoon Committee from International Centre for Water Hazard and Risk Management (ICHARM)

7. Fast Storm Detection and Flood Simulation Using Hard Computing and AI Approach

Assistant Professor Dr. Somporn Chuai-Aree

Prince of Songkla University, Pattani Campus, Thailand

8. Household Level Disaster Risk Assessment and a Smartphone-based Pin-point Alert System to Save Lives from Typhoon-related Disasters

Prof. ONO Yuichi

Tohoku University, Japan

9. The application and performance of AI-based global weather forecasting models in typhoon

Mr. Nie Gaozhen,

China Meteorological Administration (online)