Key Points

Union Minister Jitendra Singh reviewed IMD's indigenous multi-hazard warning system that's saving the country crores of rupees. The new Mausamgram platform delivers hyperlocal weather forecasts right down to village level across India. IMD has significantly improved forecasting accuracy and extended prediction periods from 5 to 7 days. The system aims to achieve last-mile connectivity ensuring every household receives timely weather alerts by 2030.

Key Points: Jitendra Singh Reviews IMD Multi-Hazard Early Warning System

  • System enables ₹250 crore cost savings by eliminating foreign vendor dependency
  • Mausamgram provides hyperlocal weather forecasts down to village level
  • IMD improved forecast accuracy by 15-20% with 7-day lead period
  • AI integration planned to enhance user-friendly weather alerts
  • Early warning system aims for last-mile connectivity by 2030
  • Real-time alerts now prepared 3 hours faster than before
3 min read

MoS Jitendra Singh reviews IMD's multi-hazard warning support system

Minister Jitendra Singh reviews IMD's indigenous warning system saving ₹250 crore, launches Mausamgram for hyperlocal village-level weather forecasts across India.

"The Minister appreciated the progress made by the Department towards developing indigenous, technology-driven, and citizen-centric weather forecasting systems - Official Statement"

New Delhi, Oct 12

Dr Jitendra Singh, Union Minister of State (Independent Charge) for Science and Technology, Earth Sciences, on Sunday reviewed the Web-GIS-based Multi-Hazard Early Warning Decision Support System (DSS) developed by the India Meteorological Department (IMD), an official said.

The Minister appreciated the progress made by the Department towards developing indigenous, technology-driven, and citizen-centric weather forecasting systems that strengthen disaster preparedness and enhance public safety across the country.

The Minister commended the DSS for enabling an estimated cost saving of Rs 250 crore by eliminating dependency on foreign vendors and avoiding an annual maintenance cost of Rs 5.5 crore, thereby promoting self-reliance under the ‘Atmanirbhar Bharat’ initiative.

Singh also reviewed ‘Mausamgram’ (Har Har Mausam, Har Ghar Mausam), a unique citizen-focused platform providing hyperlocal, location-specific weather forecasts down to the village level.

The system delivers hourly forecasts for the next 36 hours, three-hourly forecasts for the next five days, and 60-hourly forecasts for up to 10 days, said an official statement.

Citizens can conveniently access weather information through PIN code, location name, or by selecting their state, district, block, and gram panchayat. Available in all official Indian languages, ‘Mausamgram’ ensures that users across India receive accurate and timely weather updates relevant to their locality, it said.

The IMD has fully re-engineered its forecast and warning generation process, enabling real-time alerts and significant advancements in forecasting capabilities — increasing the lead period from 5 to 7 days, reducing forecast preparation time by about 3 hours, and improving accuracy by 15-20 per cent.

Interacting with IMD officials, Dr Singh suggested incorporating AI-driven mechanisms into ‘Mausamgram’ to make it even more user-friendly and accessible.

He also emphasised the need to further develop the Multi-Hazard Early Warning System to ensure that citizens receive clear, actionable alerts that help prevent disasters and provide adequate time for preparedness and safety, said the statement.

Earlier, the Minister participated in the Special Swachhata Program 5.0 organised by the India Meteorological Department (IMD) in its New Delhi headquarters premises, ‘Mausam Bhavan’.

As part of the ‘Ek Ped Maa Ke Naam’ initiative, Dr Singh planted a sapling within the IMD premises and felicitated 50 ‘Safai Mitras’ for their dedicated contribution to cleanliness and maintenance activities.

The ongoing implementation of Mission Mausam, which includes the installation and commissioning of advanced meteorological instruments, will significantly enhance IMD’s forecasting capabilities by 2030, enabling severe weather hazard forecasting at a 5x5 km scale, dynamic impact-based forecasting, and risk-based early warnings for all.

The initiative envisions last-mile connectivity to ensure early warnings reach every household by 2030, achieving the vision of ‘Har Har Mausam, Har Ghar Mausam’.

- IANS

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Reader Comments

R
Rohit P
Great initiative but I hope the implementation is as good as the announcement. Many government apps have poor user experience. The AI integration suggestion is good - hope they make it truly user-friendly for all age groups.
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Ananya R
Finally! Weather forecasts in local languages will help my grandparents who don't understand English. The PIN code feature is brilliant - so convenient for checking weather before travel plans. 👏
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Sarah B
As someone who experienced the Uttarakhand floods, I can't stress enough how important early warning systems are. If this system can prevent even one disaster, it's worth every rupee spent. The 15-20% accuracy improvement is significant.
V
Vikram M
Saving Rs 250 crore by eliminating foreign dependency is a big achievement. This is what true self-reliance looks like! Hope other departments follow IMD's example in developing indigenous technology solutions. 🇮🇳
K
Kavya N
The 'Har Har Mausam, Har Ghar Mausam' vision is inspiring. But I hope they ensure good internet connectivity in remote areas for this to work effectively. The hourly forecasts for 36 hours will be very useful for daily planning.
M
Michael C
Impressive technical specifications - 5x5 km scale forecasting by 203

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