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India Launches AI Weather Forecasts for Hyper-Local Farming Aid

The Ministry of Earth Sciences launched two advanced weather forecast products to provide hyper-local, impact-based services. The AI-driven monsoon system offers probabilistic forecasts up to four weeks in advance for farmers across 16 states. A pilot service for Uttar Pradesh generates rainfall forecasts at 1-km resolution up to 10 days ahead. The systems integrate data from radars, satellites, and automatic stations to support agriculture, water resources, and disaster management.

Key Points: India Launches AI Weather Forecasts for Farmers

  • AI-driven monsoon advance forecasting system launched
  • Supports farmers across 16 States and 3,000 sub-districts
  • High-res rainfall forecast for Uttar Pradesh at 1-km resolution up to 10 days
  • Combines AI models, extended range prediction, and statistical techniques
2 min read

Govt launches two weather forecast products to deliver hyper‑local weather services

India launches two AI-driven weather forecast products for hyper-local, impact-based services to aid farmers, disaster managers, and citizens.

"The newly launched systems mark a major shift from conventional weather forecasting towards impact-based and decision-support forecasting - Dr. Jitendra Singh"

New Delhi, May 12

Ministry of Earth Sciences launched two advanced weather forecast products designed to provide hyper-local, impact-based and AI-driven weather services across the country, an official statement said on Tuesday.

Union MoS Science & Technology, Earth Sciences Dr. Jitendra Singh launched the products that has the first ever Artificial Intelligence (AI) driven system by India Meteorological Department (IMD).

The minister said the newly launched systems mark a major shift from conventional weather forecasting towards impact-based and decision-support forecasting, capable of providing precise, location-specific and actionable information to farmers, administrators, disaster managers and citizens.

The systems have been developed jointly by the India Meteorological Department (IMD), Indian Institute of Tropical Meteorology (IITM), Pune, and National Centre for Medium Range Weather Forecasting (NCMRWF).

Dr. Singh said the AI-enabled monsoon advance forecasting system will provide probabilistic forecasts of monsoon progression every Wednesday up to four weeks in advance.

The product has been designed to support farmers across 16 States and more than 3,000 sub-districts through the dissemination framework of the Ministry of Agriculture and Farmers' Welfare.

The system combines AI-based forecasting models, extended range prediction systems and statistical techniques to provide operationally useful forecasts for agricultural planning and preparedness, the minister said.

The second product, High Spatial Resolution Rainfall Forecast for Uttar Pradesh, has been developed as a pilot service to generate rainfall forecasts at 1-km spatial resolution up to 10 days in advance.

The system uses advanced AI-driven downscaling techniques and integrates data from Automatic Rain Gauges (ARGs), Automatic Weather Stations (AWSs), Doppler Weather Radars and satellite-based rainfall datasets.

The service would be useful for agriculture, water resources, renewable energy, urban planning, disaster management and infrastructure sectors.

The minister said farmers would now be able to make more informed decisions relating to sowing, irrigation, crop protection and harvest planning with far greater local precision.

Dr. Singh said India's weather forecasting capabilities have witnessed a major transformation during the last decade, with technology, data integration and advanced modelling significantly improving forecast accuracy and public trust in IMD services.

- IANS

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Reader Comments

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Sunil U
As someone working in disaster management, this is a welcome move. The impact-based forecasting bit is crucial — knowing *what* will happen is half the battle, but knowing *where* and *how severe* is the real gold. However, I hope they've tested these models rigorously for monsoon variability.
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Nisha Z
Great initiative but let's be practical — will this actually reach the small farmer in interior Maharashtra or Uttar Pradesh? Our weather data collection infrastructure is patchy in many rural areas. Without ground-level sensors and proper internet connectivity, AI models are only as good as the data they ingest. 🤔
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Arjun K
As a farmer in Punjab, I welcome this development. Our department currently gives us 3-day forecasts that are often wrong within 24 hours. Having probabilistic monsoon progression forecasts weeks in advance would help us plan kharif sowing better. Let's hope the government actually trains extension workers to interpret these forecasts for us.
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Rachel V
It's encouraging to see India moving toward AI-driven weather services. I've worked with IMD data before and their forecasts have improved noticeably over the past decade. The 1-km resolution for UP is impressive — hope they'll extend it to other states soon. Renewable energy sector will benefit hugely from this.
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Kavita C
Good step but why is it limited to 16 states initially? Weather doesn't respect state boundaries! The fact that they've involved IITM and NCMRWF gives credibility though. My only concern: will there be a user-friendly app that farmers can access in Hindi or regional languages? That's where most government initiatives fail.

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