Section: Day 3 - 26 November 2025 - CALMet XVI - Innovation | Joint CALMet XVI - CONECT 3 Conference - 2025 | ETRP Moodle Site

Section outline

🚀 Topic: Embracing AI and emerging technologies for learning and assessment (Innovation)

On this day, we explore how AI and other digital innovations can transform meteorological and hydrological training, enhancing both learning and assessment practices. Key questions for discussion include:

How can AI and emerging technologies enrich (digital) training through interactive and immersive experiences?

What AI tools are currently available to support the development of authentic, engaging face-to-face and online training activities?

Which AI tools are already being used within our community and what are your experiences with them? What is working well and where are the limitations?

We will also take a critical look at the challenges of implementing AI responsibly in our training environments, including: data quality and bias, privacy and data protection, transparency and accountability, ethical considerations, technical limitations and reliability, security and risk of misuse, lack of human oversight and verification, regulation and compliance

We invite you to share your experiences, insights, and lessons learned as we collectively navigate how to harness innovation while safeguarding the integrity and trust of our training practices.
- Select activity Day 3 Forum
  
  Day 3 Forum
  
  Forum to ask questions, exchange ideas, and continue conversations related to Day 3 sessions before or after live presentations and workshops.
- Select activity Eastern Time zone
  
  Eastern Time zone
  Online Program - Click below to watch the recording
- Select activity 0100 - 0130 UTC (30') From Manual to Intelligent - Using AIGC and RAG Technology to Create Engaging Meteorological and Hydrological Training (Luoyuze Chen - CMATC)
  
  0100 - 0130 UTC (30') From Manual to Intelligent - Using AIGC and RAG Technology to Create Engaging Meteorological and Hydrological Training (Luoyuze Chen - CMATC) Page
- Select activity 0130 - 0200 UTC (30') Utilization of Artificial Inteligent for Classifying Rainfall from Satellite Imagery (Richard Mahendra Putra - BMKG)
  
  0130 - 0200 UTC (30') Utilization of Artificial Inteligent for Classifying Rainfall from Satellite Imagery (Richard Mahendra Putra - BMKG) Page
- Select activity 0215 - 0245 UTC (30') Integrating AI into Meteorological Education: Empowering Instructors and Enhancing Learning with Intelligent Assistants (Yang Zhao - CMATC)
  
  0215 - 0245 UTC (30') Integrating AI into Meteorological Education: Empowering Instructors and Enhancing Learning with Intelligent Assistants (Yang Zhao - CMATC) Page
- Select activity 0245 - 0315 UTC (30') Enhancing Seasonal Forecast Communication Through Interactive Dashboards (Dian Nur Ratri - BMKG)
  
  0245 - 0315 UTC (30') Enhancing Seasonal Forecast Communication Through Interactive Dashboards (Dian Nur Ratri - BMKG) Page
- Select activity Florence Time Zone
  
  Florence Time Zone
  
  Hybrid program - Click below to watch recordings
- Select activity 0800 - 0830 UTC (30') 0900 - 0930 CET Harnessing (AI) Artificial Intelligence for Next-Generation Meteorological Training: From Data Integrity to Immersive Learning (Abdelillah Otmana Cherif - IHFR - Algeria)
  
  0800 - 0830 UTC (30') 0900 - 0930 CET Harnessing (AI) Artificial Intelligence for Next-Generation Meteorological Training: From Data Integrity to Immersive Learning (Abdelillah Otmana Cherif - IHFR - Algeria) Page
- Select activity 0830 - 0900 UTC (30') 0930 - 1000 CET Issues and Challenges for incorporating Artificial Intelligence based Earth System Prediction (AI-ESP) Technologies into WMO Integrated Processing and Prediction System (WIPPS) (Eunha Lim - WMO)
  
  0830 - 0900 UTC (30') 0930 - 1000 CET Issues and Challenges for incorporating Artificial Intelligence based Earth System Prediction (AI-ESP) Technologies into WMO Integrated Processing and Prediction System (WIPPS) (Eunha Lim - WMO) Page
- Select activity 0930 - 1100 UTC (90') 1030 - 1200 CET Join the Debate: AI-driven weather forecasting models should replace traditional human-led analysis in training and decision-making (Madalina Ungur - EUMETSAT)
  
  0930 - 1100 UTC (90') 1030 - 1200 CET Join the Debate: AI-driven weather forecasting models should replace traditional human-led analysis in training and decision-making (Madalina Ungur - EUMETSAT) Page
- Select activity Hybrid Joint Program for Florence and Western Time Zones
  
  Hybrid Joint Program for Florence and Western Time Zones
  
  Hybrid program - Click below to watch recordings
- Select activity 1300 - 1400 UTC (60') 1400 - 1500 CET Collaboration and Innovation in VLab: AI and Jupyter Notebooks for Meteorological Satellite Training (Marcial Garbanzo Salas - Vlab TSO/ Univ. Costa Rica)
  
  1300 - 1400 UTC (60') 1400 - 1500 CET Collaboration and Innovation in VLab: AI and Jupyter Notebooks for Meteorological Satellite Training (Marcial Garbanzo Salas - Vlab TSO/ Univ. Costa Rica) Page
  
  Here is the presentation!
  https://etrp.wmo.int/pluginfile.php/99572/mod_page/intro/CALMet.pdf?time=1764385044724
- Select activity 1430 - 1530 UTC (60') 1530 - 1630 CET Leveraging Generative AI in Instructional Design: A Case-Based Workshop? (Tsvet Ross-Lazarov - COMET)
  
  1430 - 1530 UTC (60') 1530 - 1630 CET Leveraging Generative AI in Instructional Design: A Case-Based Workshop? (Tsvet Ross-Lazarov - COMET) Page
- Select activity 1600 - 1700 UTC (60') 1700 - 1800 CET Build Talking-Head Videos with AI: Fast, Customizable Content Using Synthesia (Tsvet Ross-Lazarov,- COMET)
  
  1600 - 1700 UTC (60') 1700 - 1800 CET Build Talking-Head Videos with AI: Fast, Customizable Content Using Synthesia (Tsvet Ross-Lazarov,- COMET) Page