Training Course Period: 24 August - 4 Sep 2026

Online Phase: 24 - 29 August 2026
Face to Face Phase: 31 August - 4 September 2026

This course builds professional capacity to design, operate, and strengthen people-centred, multi-hazard end-to-end early warning systems for hydro-meteorological and geological hazards under changing climate conditions. Drawing on ADPC and AIT’s extensive regional experience, the course integrates risk assessment, impact-based forecasting, communication, and community engagement. Through practical exercises, case studies, and innovative technologies, participants gain applied skills to translate scientific information into actionable warnings, institutionalize early warning systems, and enhance preparedness, response, and resilience across diverse governance and community contexts.

The primary objective of the course is to strengthen the capacities of participating professionals and institutions to effectively develop and apply skills in the design and management of multi-hazard, end-to-end early warning system processes, with the aim of reducing and mitigating the impacts of hydro-meteorological and geological hazard events. Upon completion of the course, participants will be able to:

• Conduct comprehensive risk assessments and design multi-hazard, end-to-end early warning systems to support disaster risk reduction.
• Integrate scientific, technical, and impact-based forecasting inputs into effective early warning dissemination and communication systems.
• Formulate strategies to institutionalize early warning systems across the disaster risk management cycle, including development planning, preparedness, and emergency response.
• Design and apply risk communication strategies supported by appropriate communication technologies.
• Interpret, translate, and tailor scientific information products into user-friendly early warning messages that trigger timely and appropriate responses from at-risk communities.
• Design and implement people-centered, community-based early warning systems that contribute meaningfully to risk reduction and risk management processes.
• Assess, strengthen, and introduce public awareness, education, and training programmes to enhance the effectiveness of community-based early warning systems.
• Apply emerging, next-generation climate prediction and forecasting technologies to anticipate and manage disaster risks associated with climate change and climate variability.

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 innovations for MHEWS
• Use of remote sensing for the 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

An interdisciplinary team of experienced practitioners and subject-matter experts delivers a balanced and practice-oriented learning approach, combining theoretical foundations with hands-on applications. The course employs diverse pedagogical methods, including interactive and participatory lectures, practical exercises, group discussions, case studies, sector-specific examples, worksheets, classroom activities, individual and group assignments and presentations, applied use of tools, instructional games, and guided site visits.

This course is designed for disaster risk management and development professionals, including officials from national and sub-national governments, extension services, defense forces, emergency responders, staff of training and public administration institutes, national and international NGOs, the IFRC/ICRC, UN agencies, and the private sector. The curriculum is particularly suited for participants with substantive roles in disaster mitigation, preparedness, response, recovery, and disaster risk management policy and planning. While prior exposure to early warning systems is advantageous, it is not a prerequisite for participation.

$1,550 (without accommodation)
$2,036 [with accommodation (6 nights)]

Fees are inclusive of course materials (soft copy), cost of instructions and course certificate. For face-to-face training, fee is inclusive of morning and afternoon snacks and lunch during the course.

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.