Two systems include first ever AI-enabled “Forecast of Monsoon Advance over Different Parts of the Country” and a “High Spatial Resolution Rainfall Forecast for Uttar Pradesh” as a pilot service.
About AI-enabled advanced weather forecast systems
- Ministry: Ministry of Earth Sciences (MoES).
- Developed by: Jointly by the India Meteorological Department (IMD), Indian Institute of Tropical Meteorology (IITM), Pune, and National Centre for Medium Range Weather Forecasting (NCMRWF).
- Aim: To deliver hyper-local, impact-based and AI-driven weather services and to provide Localized Weather Information up to 10 Days in Advance.
- Coverage: AI-enabled Systems will provide Hyper-Local Weather forecasts generating ‘block’ level forecasts for 16 States and Over 3,000 Sub-districts.
- Hyper-local weather refers to weather data and forecasts that focus on a very small, precisely defined geographic area, often at the scale of a neighborhood, city block etc.
- AI enabled pilot project for Uttar Pradesh: It will generate rainfall forecasts at 1-km spatial resolution.
Significance of Hyperlocal Weather Forecasting
- Urban Planning: Monitors air quality, heat distribution, and rainfall for disaster management/prevention.
- Agriculture: Provides precise soil moisture, temperature, and precipitation data for crop management.
- Events and Recreation: Delivers accurate weather information for sporting events, outdoor activities etc.
Government Initiative for Efficient Weather Forecasting
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