Uttar Pradesh is bracing for further heavy rainfall, thunderstorms, and strong winds as the IMD issues orange alerts for Lucknow and Kanpur, with additional severe-weather risks in specific districts. The state has already mourned 104 deaths linked to recent storms, triggering immediate relief and compensation orders from Chief Minister Yogi Adityanath. New advanced weather forecasting systems are also being rolled out.
India Meteorological Department has launched an AI-enabled monsoon advance forecasting system, along with a high-resolution spatial rainfall forecast for Uttar Pradesh. The services are designed to deliver precise, location-specific rainfall information up to four weeks in advance. IMD says this will help farmers and other stakeholders make better decisions as monsoon planning depends on timely and accurate weather forecasts.
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India has unveiled two AI-enabled weather services: an advance monsoon forecast for 16 states and 3,000+ sub-districts, and a 1 km resolution rainfall model piloted in Uttar Pradesh. Built with IMD, IITM Pune and NCMRWF, the systems deliver hyper-local, probabilistic guidance up to four weeks and ten days ahead—supporting farmers, disaster response and infrastructure planning.
Mission Mausam, a ₹2,000 crore initiative approved by the Union Cabinet, aims to make India truly weather-ready from 2024–2026. The Ministry of Earth Sciences plans to cut forecasting resolution to 6 km for panchayat-level predictions, using next-gen radars, HPC systems, and AI/ML models to deliver hourly nowcasts. It also links weather data to air quality and disaster decision-making.
India’s IMD will continue using statistical models for monsoon forecasts, but the Ministry of Earth Sciences is increasing its focus on dynamic modeling. The move signals a push to improve forecast realism and potentially accuracy, while keeping familiar statistical approaches in place during the monsoon season transition.
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