High-risk villages for the selected day.
AI-powered village-level precipitation forecasts for Himachal Pradesh & Uttarakhand · Centre for Climate Studies, IIT Bombay
Platform
The HailWatch platform provides village-level precipitation forecasts generated using a WGAN-based precipitation downscaling emulator and GFS forecast data for the states of Himachal Pradesh and Uttarakhand. The system provides daily precipitation forecasts for the current day (available data from WINDS under PMFBY are also displayed) up to 7 days in advance. It also displays precipitation for the previous 3 days, along with corresponding IMD precipitation observations from the nearest grid point for comparison. Forecasts are updated daily using the latest available GFS model inputs.
Unlike conventional weather products, HailWatch uses machine learning–based downscaling techniques to generate localized precipitation forecasts, helping bridge the gap between coarse-resolution numerical weather prediction models and village-level decision-making.
Currently, the platform provides precipitation forecasts. Future versions of the platform will also provide temperature forecasts.
While every effort is made to ensure forecast accuracy, weather predictions are inherently uncertain. Forecasts should be considered as guidance and may differ from actual weather conditions. The platform should not be considered a substitute for official weather warnings or advisories issued by the India Meteorological Department (IMD) for critical decisions, especially during extreme weather events.
Users are encouraged to share their feedback and suggestions to help improve the platform, enhance forecast usefulness, and better align the system with local requirements.
Who it's for
Project Funding & Copyright
This web portal has been developed under the National Mission on Himalayan Studies (NMHS), Project No. NMHS 2024–25/SL-20, funded by the Ministry of Environment, Forest and Climate Change (MoEFCC), Government of India.
Principal Investigators at IITB: S. Ravichandran, Subimal Ghosh, Subhankar Karmakar, Vishal Dixit, Karthikeyan Lanka, Akshaya Nikumbh.
Website designed and implemented by: Rosa Vellosa Lyngwa, Dinesh Baghel, and Purva Kakade.
© 2026 Centre for Climate Studies, IIT Bombay
Contact
Centre for Climate Studies, 4th Floor, RBTIC Building, IIT Bombay, Powai, Mumbai – 400076
himawxfc@gmail.com, 20004193@iitb.ac.in, rosavellosa18@gmail.com