COURSE SCHEDULE
Training Course Period: 8-19 September 2025
Online Phase: 8-14 September 2025
Face to Face Phase: 15-19 September 2025
COURSE PURPOSE
This course builds upon ADPC’s and AIT’s experience in disaster management, facilitating regional cooperation and building capacities of disaster management institutions at all government levels, disaster management practitioners and communities. It extends to a decade of experience in institutionalizing weather and climate information applications for disaster mitigation and recently, in the implementation of Indian Ocean and Southeast Asia end-to-end early warning system for tsunami and hydro-meteorological hazards.
COURSE CONTENTS
Module 1: Introduction to Multi-hazard Early Warning System
• Overview of basic terminology and concepts in Disaster Risk Management
• Definitions and key components of a Multi-hazard Early Warning System (MHEWS)
• The role of national meteorological and hydrological services and national disaster management organizations
• Users’ identification and analysis
• Early Warning for All (EW4All) initiative of the UN Secretary General
Module 2: Effective MHEWS
• Hazard identification and risk assessment
• Data collection, monitoring and forecasting
• Communication and dissemination
• Warning response
• Monitoring and review
Module 3: Impact-based forecasting and warning services
• Principles of impact-based forecasting and warning
• How can IBFWS add value?
• Measuring the value of IBFWS: Suggestions for metrics and methods
• Using evidence of the value and benefits of IBFWS.
• Developing foundational competencies for forecasters and advisors
• Developing competencies in IBFWS within NMHS and partner organization personnel
• Community-based training and training for partners through engagement
• Learning practices
Module 4. Practical checklists evaluating multi-hazard early warning systems: WMO Guideline• How to use this checklist.
• The checklist for: Disaster risk knowledge
• The checklist for: Detection, monitoring, analysis and forecasting of the hazards and possible consequences.
• The checklist for: Warning dissemination and communication
• The checklist for: Preparedness and response capabilities
Module 5. Technology and Innovation in MHEWS• Latest technologies and innovation for MHEWS
• Use of remote sensing for detection and monitoring of hazards
• Use of AI and machine learning in MHEWS
• Mobile and web-based applications
Module 6. Case studies and practical exercise
How to Apply:
Interested individuals and organizations can register online at www.adpc.net/apply.
For more information about the course, you may also contact Apibarl Bunchongraksa at apibarl@adpc.net and telephone numbers +66 22980681 to 92 ext. 132.