- SY51C: AI and High-Resolution Forecasting for Societal Resilience I Poster
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Sridhara Nayak, Japan Meteorological Corporation
Convener:
Mohan Kumar Das, National Oceanographic And Maritime Institute (NOAMI)
Netrananda Sahu, University of Delhi
Pawan Kumar Chaubey, Banaras Hindu University, DST-Mahamana Centre of Excellence in Climate Change Research
Early Career Convener:
Suman Maity, NIES National Institute of Environmental Studies
Chair:
Sridhara Nayak, Japan Meteorological Corporation Limited
Pawan Kumar Chaubey, Banaras Hindu University, DST-Mahamana Centre of Excellence in Climate Change Research
In recent years, intensifying floods, droughts, mesoscale convective systems, storms, and heatwaves have highlighted the urgent need to turn scientific advances into practical tools that protect societies and save lives. This session aims to enhance how artificial intelligence (AI), machine learning (ML), and high-resolution modeling are being used to support monitoring control systems, early warning systems, disaster preparedness, and adaptive planning in societies facing all types of hydrometeorological extreme events and associated risks. We welcome contributions that highlight cross-sector collaboration, co-designed tools with decision-makers, and efforts to build trust in high-resolution models and AI-enhanced forecasts among the public and stakeholders. Case studies from vulnerable or data-scarce regions, and examples of integrating science into policy or emergency response, are especially encouraged. This session invites researchers, practitioners, and community leaders to share knowledge on bridging the gap between prediction and protection that truly supports societal resilience.
Index Terms
1637 Regional climate change
4313 Extreme events
4327 Resilience
4341 Early warning systems
Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Climate Change and Global Policy
Science Communications
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies
Cross-Listed:
NH - Natural Hazards
H - Hydrology
GC - Global Environmental Change
Co-Sponsored Sessions:
JpGU: Japan Geoscience Union
EGU: European Geosciences Union
AOGS: Asia Oceania Geosciences Society
WCRP: World Climate Research Programme
Co-Organized Sessions:
Atmospheric Sciences
Neighborhoods:
3. Earth Covering
1. Science Nexus
Scientific DisciplineSuggested ItinerariesNeighborhoodType
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