International Training Course on AI Empowered Early Warnings for All
Start Date:
June 1, 2026
City:
Shanghai
Country:
China
Region:
Africa, Americas, Asia & Oceania, Europe
Description:
1. Course Objective
The Course aims to promote the application of artificial intelligence in support of the UN Early Warnings for All initiative, ultimately improving human well-being. As an important part of the Course, the 2026 MAZU Global Data Innovation Application Challenge focuses on developing multi-hazard early warning solutions with social value and local adaptability, as well as AI-enabled algorithm models based on CMA's high-value global data to deliver intelligent early warning services for developing countries.
The Course also integrates practical insights through case studies from various regions in China, showcasing specific technologies including climate risk assessment, observation station networks, numerical forecasting, intelligent grid forecasting, impact forecasting, warning dissemination, and coordination mechanisms. The goal is to enhance participants' understanding of the Early Warnings for All initiative and their skills in applying the relevant toolbox, as well as to seek opportunities for bilateral and multi-lateral cooperation with cities in different countries.
2. Participants
Senior management officials and senior meteorologists from National Meteorological and Hydrological Services (NMHSs) of developing countries are welcome to apply, particularly from countries with needs for AI applications in meteorology. A Nomination from their National Meteorological and Hydrological Services (NMHSs) or equivalent institutions is required.
a)Participants: senior management officials and senior meteorologists (director level and above) with expertise in AI meteorological applications
b)Language: have good English listening and speaking skills
c)Health: good physical condition for intensive training and field trips
d)Capacity: 50 participants (maximum two per country)
3. Course Organization
The specific training courses, delivered in English, will be given by experts from CMA and its affiliated institutions. It will involve diverse training contents including lectures, hands-on practice, on-site teaching, technological & cultural tours, and participants' forum. The Course features the 2026 MAZU Global Data Innovation Application Challenge, with calls for innovative multi-hazard early warning solutions tailored to participants' home countries. Participants are expected to develop localized algorithm modules for CMA's MAZU systems, with focus on urban waterlogging, agriculture, port shipping and AI radar applications. Participants who complete all the required activities will receive a certificate of completion. The participants' valuable contribution to the workshop would be appreciated and will be instrumental in its success.
Participants are expected to
a)Fully engage in the in-person sessions, including a country-specific presentation on their knowledge of the course content;
b)Actively participate in the MAZU Challenge and submit a preliminary proposal for multi-hazard early warning solutions;
c)Write a summary report of no less than 800 words, reflecting on the key outcomes of this course and offering insightful suggestions.
4. Application Information
Applicants are requested to submit application documents to CMATC/WMO RTC-BJ at training@intcmatc.com and cc umhew-toolbox@cma.gov.cn no later than 1 May 2026.
The required application documents are:
a)A completed application form (see Annex);
b)A Permanent Representative (PR) endorsement letter*;
c)A copy of your passport that should be valid for more than six months from the beginning of the Course.
*An official endorsement letter from your country's PR with WMO, addressed to Dr. Chen Zhenlin, PR of China with WMO, stating that an applicant has been nominated for the Course and wishing to apply for financial support.
Please note that the enrollment will be based on comprehensive consideration, and the chronological order of application submission will be taken into great account. Shortlisted applicants will receive an Invitation Letter for the training by email. Please bring the Letter with you upon arrival.
5. Fees and Funding
a)Tuition fees are waived for all the participants;
b)The international air tickets will be purchased by Course organizers, sponsored by Shanghai Municipal Government. Please keep constant contact via email and cellphone to confirm your flight itinerary;
c)Upon arrival in China, the participants ' accommodation, meals, insurance and local transport (such as airport pickup) during the Course will be covered by Course organizers.
Targeted Audience:
Senior management officials and senior meteorologists from National Meteorological and Hydrological Services (NMHSs) of developing countries are welcome to apply, particularly from countries with needs for AI applications in meteorology. A Nomination from their National Meteorological and Hydrological Services (NMHSs) or equivalent institutions is required.
Host:
CMA Shanghai Meteorological Service and CMA International Cooperation and Training Centre
Organizer:
CMA Shanghai Meteorological Service and CMA International Cooperation and Training Centre
