IMD Launches AI-Based Monsoon Forecasting System for 16 Indian States
16 States To Get Block-Level Monsoon Alerts As IMD Rolls Out New AI-Based Forecasting System
News 18
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The India Meteorological Department (IMD) has introduced an AI-based forecasting system to provide block-level monsoon alerts for farmers in 16 states. This initiative aims to enhance agricultural planning and water management by delivering localized rainfall predictions and improving the accuracy of monsoon forecasts.
- 01IMD's new AI-based system will deliver block-level monsoon forecasts to farmers in 16 states.
- 02The initiative aims to improve agricultural planning and water management.
- 03The system will provide probabilistic forecasts for up to four weeks in advance.
- 04Uttar Pradesh will receive highly localized rainfall forecasts with 1 km resolution.
- 05The new forecasting approach marks a shift towards impact-based decision support.
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The India Meteorological Department (IMD) has launched an AI-based forecasting system that will provide block-level monsoon alerts to farmers across 16 states in India. This innovative system, developed in collaboration with the Indian Institute of Tropical Meteorology (IITM) and the National Centre for Medium Range Weather Forecasting (NCMRWF), aims to enhance agricultural planning by delivering localized rainfall forecasts. The monsoon season typically begins in June, and the new system will help farmers make informed decisions by providing probabilistic forecasts for the next four weeks. Uttar Pradesh will benefit from highly detailed rainfall forecasts with a resolution of 1 km, utilizing data from various sources, including weather stations and satellites. Union Minister Dr. Jitendra Singh emphasized that this shift towards impact-based forecasting is crucial in light of changing climate patterns and increasing extreme weather events. The AI-enabled system will improve the accuracy of forecasts, making them more useful for agriculture, water resource management, and urban planning.
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Farmers in the targeted states will benefit from more accurate and localized weather forecasts, enabling better planning for sowing and water management.
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