September 2026
SPARK: Seminar Platform for Adaptive Resilience Knowledge
Join us for our next seminar:
Transformative Role of Machine Learning in Addressing Climate and Weather-Related Challenges
Abstract
Climate change is driving increasingly irregular weather patterns and a rise in extreme events, placing significant stress on urban infrastructure, agriculture, renewable energy systems, and other climate-sensitive sectors. Although physics-based forecasting models have advanced considerably over the past decade, they remain computationally intensive and often exhibit systematic biases, large uncertainties, and challenges in representing extremes. In this talk, I will demonstrate how state-of-the-art machine learning approaches can transform coarse-resolution global forecasting systems into hyper-resolution, decision-ready products tailored for sectoral applications. By intelligently downscaling and correcting global forecasts, these tools bridge the critical gap between large-scale climate information and local-scale decision needs. I will highlight three co-developed, stakeholder-driven applications:
- A hyperlocal extreme rainfall and flood forecasting system for Mumbai, enabling rapid response in a highly vulnerable megacity.
- A renewable energy forecasting framework for Western India, supporting efficient planning and grid integration.
- A farm-scale irrigation advisory system for central–western India, designed to guide water-smart agricultural practices.
Date/Time: Friday, September 11, 2026, 10:00 AM EST
Speaker: Prof. Subimal Ghosh
Department of Civil Engineering
Indian Institute of Technology Bombay, India
