**Executive Summary**
On 12 May 2026, Union Minister Dr. Jitendra Singh launched two AI-enabled weather forecast systems designed to provide hyper-local, impact-based, and actionable data. These products include a nationwide monsoon advance forecasting system covering 16 states and a high-resolution 1-km rainfall forecast pilot for Uttar Pradesh. The initiative aims to enhance agricultural planning, disaster preparedness, and public decision-making through advanced technological integration.
**Key Points / Main Content**
**New Forecasting Products**
* **AI-Enabled Monsoon Forecast:** Provides probabilistic forecasts of monsoon progression every Wednesday, looking up to four weeks in advance across 16 states and 3,000 sub-districts.
* **High-Resolution Pilot:** A 1-km spatial resolution rainfall forecast for Uttar Pradesh providing information up to 10 days in advance.
* **Collaborative Development:** The systems were developed jointly by the India Meteorological Department (IMD), the Indian Institute of Tropical Meteorology (IITM), and the National Centre for Medium Range Weather Forecasting (NCMRWF).
**Technological and Infrastructure Enhancements**
* **Observational Network:** India has increased its Doppler Weather Radars from 17 to approximately 50 in the last decade, with 50 more planned under "Mission Mausam."
* **Data Integration:** The systems utilize AI-driven downscaling, high-performance computing, and data from Automatic Rain Gauges (ARGs), Automatic Weather Stations (AWSs), and satellites.
* **Improved Accuracy:** Severe weather forecast accuracy has improved by 40% over the last decade, while cyclone track and intensity forecasts have improved by 30-35% over the last five years.
**Delivery and Dissemination**
* **Multi-Channel Outreach:** Advisories are disseminated via mobile applications, SMS, WhatsApp, Kisan portals, and television.
* **Decision Support:** The systems shift from conventional forecasting to decision-support models to assist administrators and the public in real-time.
**Impact Analysis**
**Farmers**
* **Impact:** Enhanced local precision allows for better-informed decisions regarding sowing, irrigation, crop protection, and harvest planning.
* **Action Required:** Monitor weather updates through Kisan portals and digital platforms to align agricultural activities with probabilistic forecasts.
**Administrators and Disaster Managers**
* **Impact:** Access to precise, location-specific data facilitates better disaster preparedness and real-time administrative decision-making during extreme weather.
* **Action Required:** Utilize decision-support forecasting for resource allocation and ensure timely compliance with weather advisories to minimize damage.
**General Citizens**
* **Impact:** Improved safety and more informed daily decision-making through last-mile connectivity and early warning systems.
* **Action Required:** Subscribe to and follow official weather alerts via mobile apps, SMS, and other digital dissemination platforms.
Key Entities Referenced
India Meteorological Department (IMD): The primary national agency responsible for meteorological observations and the implementation of the newly launched AI-enabled weather forecasting systems.
Mission Mausam: A government initiative focused on modernizing India's weather infrastructure, including the expansion of Doppler Weather Radar networks and observational systems.
Forecast of Monsoon Advance over Different Parts of the Country: The first AI-driven system introduced to provide granular, probabilistic forecasts of monsoon progression at district-level scales.
High Spatial Resolution Rainfall Forecast for Uttar Pradesh: A pilot AI-based service launched to generate 1-km spatial resolution rainfall forecasts up to 10 days in advance for localized decision-making.
Ministry of Earth Sciences (MoES): The nodal ministry that oversees the development and launch of hyper-local, impact-based, and AI-driven weather services.
Ministry of Earth Sciences
AI-enabled Systems introduced by IMD to
provide Hyper-Local Weather forecasts: Dr
Jitendra Singh
Advanced Forecast Systems to Provide Localised Weather
Information up to 10 Days in Advance: Dr. Jitendra Singh
Government Introduces AI-enabled Monsoon Forecasting
Platform for 16 States and Over 3,000 Sub-districts
Union Minister Dr Jitendra Singh Launches AI-based
Monsoon Advance Forecast System and 1-km Resolution
Rainfall Forecast for Uttar Pradesh
Dr Jitendra Singh Says IMD Has Become an Essential Part of
India’s Everyday Governance and Public Decision-making
Posted On: 12 MAY 2026 4:03PM by PIB Delhi
Union Minister of State (Independent Charge) for Science & Technology, Earth Sciences, and MoS PMO,
Personnel, Public Grievances, Pensions, Atomic Energy and Space, Dr. Jitendra Singh today launched two
advanced weather forecast products developed under the Ministry of Earth Sciences (MoES), aimed at
delivering hyper-local, impact-based and AI-driven weather services across the country.
The two products launched today include, introduction of the first ever Artificial Intelligence (AI) driven
system by India Metrological Department (IMD) in the form of 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. 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. Jitendra 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. He said IMD has today become an integral component
of governance, disaster preparedness, agriculture planning and everyday public decision-making.
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 launch event was held at Mahika Hall, Ministry of Earth Sciences, New Delhi, in the presence of
Secretary, Ministry of Earth Sciences, Dr. M. Ravichandran; Director General of Meteorology, IMD, Dr.
Mrutyunjay Mohapatra; Director, IITM Pune, Dr. Suryachandra Rao; senior scientists and officials from
IMD, IITM and NCMRWF, along with representatives from print and electronic media.
Referring to the rapid modernization of India’s weather infrastructure, Dr. Jitendra Singh said the country
had barely 16 to 17 Doppler Weather Radars nearly a decade ago, while the number has now increased to
around 50, with another 50 planned under Mission Mausam. He said this expansion of observational
networks, automatic weather stations, high-performance computing systems and digital dissemination
platforms has substantially improved forecasting capability and early warning systems across the country.
Dr. Jitendra 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. He said 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.
Dr. Jitendra Singh said the initiative would be particularly useful for agriculture, water resources,
renewable energy, urban planning, disaster management and infrastructure sectors. He said farmers would
now be able to take more informed decisions relating to sowing, irrigation, crop protection and harvest
planning with far greater local precision.
The Minister said India has witnessed nearly 40 per cent improvement in forecast accuracy for severe
weather events during the recent decade compared to the previous decade. He added that cyclone track,
intensity and landfall forecasts for 72 hours have improved by nearly 30 to 35 per cent during the last five
years, while seasonal forecast errors have reduced significantly.
Dr. Jitendra Singh said changing climate patterns and increasing extreme weather events have made
precise and timely forecasting more important than ever before. Referring to recent instances of erratic
weather conditions, he said India now requires forecasting systems that are not only scientifically
advanced but also capable of supporting real-time administrative and public decision-making.
The Minister said the Government under the leadership of Prime Minister Narendra Modi has undertaken
several transformative initiatives to modernise weather forecasting and climate services in the country. He
said Mission Mausam, expansion of radar networks, strengthening of observational systems,
modernization of data communication infrastructure and enhancement of high-performance computing
facilities are collectively contributing towards a more robust and technology-driven forecasting
ecosystem.
Dr. Jitendra Singh said weather advisories and early warnings are now being disseminated through
multiple channels including mobile applications, SMS alerts, WhatsApp, Kisan portals, television and
other digital platforms to ensure wider public outreach and last-mile connectivity. He added that timely
compliance with weather advisories by local administrations and stakeholders is equally important for
minimizing damage during extreme weather events.Secretary, Ministry of Earth Sciences, Dr. M. Ravichandran said the newly launched products are
stakeholder-driven forecasting systems developed using a combination of numerical weather prediction
models and AI-based data-driven approaches. He said the systems have been developed in response to
increasing demand from agriculture and other sectors for highly localized and high-resolution weather
forecasts.
Dr. Ravichandran said the monsoon advance forecasting system would now provide granular forecasts on
monsoon progression at district-level scales, while the Uttar Pradesh pilot project demonstrates the
capability of generating operational rainfall forecasts at 1-km resolution using dense observational
networks and AI techniques. He added that similar services would gradually be expanded to other parts of
the country as observational infrastructure continues to grow.
Dr. Jitendra Singh said the newly launched forecasting products represent another important step towards
building a climate-resilient, digitally empowered and citizen-centric weather service system for the
country, where scientific advancements directly contribute to societal and economic benefits.******
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