The WFP Centre of Excellence for Rural Transformation (WFP China COE) organizes a comprehensive webinar series on Agricultural Disaster Management from June 25 to July 16, 2026. The webinar consists of four sessions in total, providing a collaborative platform for knowledge exchange among developing countries to explore practical tools, operational models, and proven technologies for effective agricultural disaster management and safeguarding food security. The four sessions are as follows:

 

Session I: Multi-stakeholder Coordination to Protect Agricultural Livelihoods

Session II: Early Warning and Impact-Based Forecasting for Disaster-Ready Agriculture

Session III: Farmer‑Centric Innovations for Agricultural Disaster Risk Reduction

Session IV: Technological Solutions for Addressing Waterlogging and Safeguarding Water Access

 

This course is part of Session II: Early Warning and Impact Based Forecasting for Disaster Ready Agriculture. The session aims to strengthen global disaster risk reduction and climate adaptation by sharing multi-hazard alert platforms and impact-based forecasting tools for agricultural preparedness. It is structured around two main parts: MAZU: China's Solutions to Early Warnings for All and Strengthening Agricultural Preparedness through Impact Based Forecasting. The first part introduces MAZU (Multi-hazard Alert, Zero-gap and Universal), China’s national multi-hazard early warning solution and an open operational platform to support developing countries. It details the platform's AI-powered forecasting engines and cloud-based systems designed for global disaster prevention. The second part reviews the Impact-Based Forecasting (IBF) tools developed by the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) for the Asia-Pacific region. It demonstrates how integrating climate forecasts with agricultural exposure and vulnerability data bridges the science-policy gap to empower proactive decision-making and mitigate crop risks.


* Participants who successfully complete the course and pass a corresponding quiz will receive a certificate of achievement.

Lecturer

QIAN Yonglan

Chief Agrometeorologist

Dr. Qian is a professor-level Senior Engineer and Chief Agrometeorologist at the National Meteorological Center, as well as one of the first batch of national agrometeorological service experts appointed by CMA. Her main research interests include the application of agricultural remote sensing, risk assessment of agrometeorological disasters, global agrometeorological monitoring and evaluation, and crop yield forecasting. She has published more than 50 academic papers and authored monographs, including Fundamentals and Technical Methods for Global Agrometeorological Monitoring and Forecasting, etc.

Leila Salarpour GOODARZI

Associate Economic Affairs Officer

Dr. Goodarzi works in the disaster risk reduction section of the Information & Communication Technology and Disaster Risk Reduction Division of ESCAP. She is working on various topics such as climate change issues, disaster risk reduction, impact-based forecasting, and regional collaboration for sustainable development. Some of her latest relevant publications include Asia Pacific Disaster Report 2025, Targeting Transformative Disaster Risk Resilience in South and South-West Asia: Asia-Pacific Disaster Report 2024 for ESCAP Subregions, etc.

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