The Role of India Meteorological Department (IMD) in Disaster Management

When a cyclone forms over the Bay of Bengal or the Arabian Sea, millions of lives along India’s vast coastline depend on one institution for timely, life-saving information – the India Meteorological Department (IMD). Established in 1875, the IMD is India’s principal weather agency, operating under the Ministry of Earth Sciences. From tracking monsoons for farmers to issuing cyclone warnings for coastal communities, the IMD plays a central role in India’s disaster management framework. But how exactly does it function, and what makes its early warning systems so effective? Let’s break it down.

Overview of the IMD’s role in disaster management 🔗

The IMD is not just a weather forecasting agency – it is a critical pillar of India’s disaster preparedness and response system. Its core mandate includes monitoring weather patterns, issuing warnings for severe events like cyclones, floods, heat waves, and cold waves, and providing meteorological data that helps disaster managers, government agencies, and the public take protective action.

IMD is headquartered in New Delhi and operates through six Regional Meteorological Centres located in Chennai, Mumbai, Kolkata, Nagpur, Guwahati, and New Delhi. It runs hundreds of surface observatories, upper-air stations, and radar stations across India, collecting data around the clock. On top of that, IMD receives satellite data from platforms like INSAT-3D and INSAT-3DR, giving it near real-time visibility over weather systems forming across the Indian Ocean and the subcontinent.

Beyond forecasting, the IMD supports multiple sectors. It provides monsoon predictions that help farmers plan sowing and harvesting, delivers aviation weather services for safe flight operations, and shares marine forecasts for the shipping industry. But it is in the area of disaster warning and mitigation where IMD’s impact is most dramatic. According to data shared on IMD’s 150th Foundation Day in January 2025, the department’s overall forecast accuracy improved by 40% between 2014 and 2023.

The IMD also holds a globally recognised role. It is one of six Regional Specialised Meteorological Centres (RSMCs) designated by the World Meteorological Organization (WMO) under the Tropical Cyclone Programme. This means IMD is responsible for forecasting, naming, and distributing warnings for tropical cyclones across the entire northern Indian Ocean region – covering 13 countries bordering the Bay of Bengal and the Arabian Sea.

Early warning systems: technology and processes 🔗

A disaster warning is only useful if it arrives early enough for people to act. This is where IMD’s early warning systems (EWS) come into play, backed by a growing network of advanced technologies and structured communication protocols.

The technology behind the warnings 🔗

IMD’s forecasting capability rests on a combination of observation tools, computing power, and numerical models. The key components include:

Doppler Weather Radars (DWR): These radars detect precipitation, wind speed, and storm intensity in real time. IMD expanded its Doppler radar network significantly – from 15 radars in 2014 to 39 by 2023. As of 2025, the network is being expanded further, with plans to reach 73 sites by 2025-26 and 126 by 2026. IMD also deployed indigenously built X-Band Doppler Weather Radars over the Himalayas, designed by ISRO and manufactured by Bharat Electronics Limited, to monitor extreme weather in mountainous terrain.

Satellite systems: IMD uses Indian satellites like INSAT-3D, INSAT-3DR, and data from international platforms like HIMAWARI and GOES for cloud monitoring, rainfall estimation, and cyclone tracking. These satellites provide continuous imagery that helps forecasters detect weather system formation well before ground-level impacts occur.

Supercomputers: High-performance computing systems – including Mihir, Pratyush, Arka, and Arunika – run complex atmospheric models. These supercomputers process massive volumes of observational data and generate detailed weather simulations that underpin forecast accuracy.

Numerical Weather Prediction (NWP) models: IMD runs models like the Hurricane Weather Research and Forecast (HWRF) system and Ensemble Prediction Systems (EPS) to predict cyclone tracks, intensity, and landfall points. The Bharat Forecasting System (BharatFS), introduced in May 2025, provides weather predictions at a 6 km spatial resolution – a significant improvement from the earlier 12 km models – and can forecast rainfall up to 10 days ahead.

How warnings reach people 🔗

Technology alone does not save lives – getting warnings to the right people in time does. IMD uses multiple dissemination channels. Weather information is shared through official bulletins, mobile apps like Meghdoot, WhatsApp, social media, and the Common Alerting Protocol (CAP) system adopted since 2019. The ‘Early Warning for All’ initiative now covers over 90% of India’s population, as noted during the 150th Foundation Day celebrations.

IMD also developed a Decision Support System (DSS) – an indigenously built tool that integrates real-time data from satellites, radars, and weather models. It uses GIS-based hazard mapping, impact-based forecasting, and scenario analysis to give disaster managers actionable insights during events like cyclones, heavy rainfall, and heat waves. Since 2019, IMD has been providing impact-based and risk-based warnings at the district and city level, moving beyond simply predicting weather to forecasting what that weather will actually do to people and infrastructure.

Additionally, IMD launched a crowdsourcing initiative in 2021, followed by the “Public Observation” mobile app in 2022, which allows citizens to report local weather conditions in real time – creating a feedback loop that enhances forecast accuracy.

IMD’s role in cyclone monitoring: a case study 🔗

India’s coastline stretches over 7,500 kilometres, and cyclones from the Bay of Bengal and the Arabian Sea pose a recurring threat. The IMD’s cyclone warning service is one of the oldest in the world, dating back to 1875. Over the decades, it has been refined into a structured, multi-stage system that has dramatically reduced cyclone-related casualties.

The four-stage cyclone warning system 🔗

IMD issues cyclone warnings to government officials in four progressive stages:

Stage 1 – Pre-Cyclone Watch: Issued 72 hours before expected adverse weather, this bulletin provides an early alert about a developing cyclonic disturbance, its likely intensification, and the coastal regions at risk. It is issued by the Director General of Meteorology and addressed to the Cabinet Secretary and senior officials, including Chief Secretaries of affected states.

Stage 2 – Cyclone Alert: Issued at least 48 hours in advance, it specifies the storm’s location, intensity, direction, and districts likely to be affected. Advisories go out to fishermen, the general public, media, and disaster management authorities.

Stage 3 – Cyclone Warning: Issued at least 24 hours before adverse weather begins. At this stage, the expected landfall point is forecast. Bulletins are updated every three hours with the latest cyclone position, expected heavy rainfall, wind speeds, and storm surge details.

Stage 4 – Post-Landfall Outlook: Issued at least 12 hours before the expected landfall, this stage forecasts the cyclone’s movement after it crosses the coast and the adverse weather likely in interior areas.

Colour codes have been used since 2006 to differentiate the urgency levels of these bulletins, making them easier to interpret for state administrators and the public.

Track record of cyclone prediction 🔗

The results speak for themselves. IMD’s cyclone forecasting has improved steadily, with landfall prediction errors reduced to less than 20 km in 24-hour forecasts, and the lead time for cyclone formation forecasts extended to seven days.

Major cyclones where IMD’s early warnings played a pivotal role include Phailin (2013), Hudhud (2014), Fani (2019), Amphan (2020), Tauktae (2021), Biparjoy (2023), and Dana (2024). The most striking outcome: cyclone-related deaths in India dropped from around 10,000 during the 1999 Odisha super cyclone to zero fatalities between 2020 and 2024. This transformation is a combined result of improved forecasting, timely dissemination of warnings, and coordinated evacuation by disaster management agencies like the NDMA.

IMD also uses the Advanced Dvorak Technique to estimate cyclone intensity from satellite data, and AI-based tools now assist in predicting cyclone formation and tracking. Comparative evaluations of global AI weather systems like GraphCast, PanguWeather, and FourCastNet have shown improvements in cyclone path prediction accuracy up to 96 hours before landfall.

Future plans and enhancements 🔗

IMD is not resting on its achievements. As extreme weather events become more frequent and intense due to climate change, the department has laid out an ambitious roadmap through two key initiatives: Mission Mausam and IMD Vision 2047.

Mission Mausam 🔗

Launched by Prime Minister Narendra Modi on IMD’s 150th Foundation Day in January 2025, Mission Mausam aims to make India a “Weather-ready and Climate-smart” nation. The mission was approved by the Union Cabinet in September 2024 with a budget of ₹2,000 crore. It is being implemented in two phases – Phase I from 2024 to 2026 and Phase II from 2026 to 2031.

The mission focuses on deploying next-generation radars and satellites, establishing high-resolution atmospheric observation stations, and acquiring high-performance computing infrastructure for advanced weather modelling. It also aims to improve air quality monitoring and develop strategies for weather management interventions, including rain enhancement experiments. Three key institutions are leading the effort: IMD, the National Centre for Medium Range Weather Forecasting (NCMRWF), and the Indian Institute of Tropical Meteorology (IITM).

IMD Vision 2047 🔗

The Vision 2047 document, also released in January 2025, sets specific performance targets. By 2047 – when India marks 100 years of independence – IMD aims to achieve zero-error weather forecasting up to three days, 90% accuracy in five-day forecasts, and 80% accuracy for seven-day severe weather predictions. The overarching goal is zero loss of life from all types of severe weather events, enabled by accurate early warnings that prompt timely action from disaster managers and the public.

The vision also targets 100% detection of severe weather events right down to the village and household level, supported by expanded observational networks, improved radar coverage, and advanced satellite systems. IMD plans to strengthen public-private partnerships, invest in human capital by training scientists in AI and machine learning, and expand international cooperation on climate research.

AI and emerging technologies 🔗

IMD has established a dedicated AI and machine learning team and signed collaboration agreements with IITs, NITs, ISRO, and DRDO. Tools like MausamGPT are being developed to offer AI-powered weather advisory services for events such as fog, lightning, and thunderstorms. Transformer-based neural networks are being developed by Indian researchers to forecast monsoon behaviour up to 18 days in advance – a capability that would be transformative for agriculture and flood preparedness. Additionally, IMD plans to deploy unmanned aerial vehicles (UAVs) for direct cyclone observations and expand ocean-based monitoring infrastructure to fill data gaps over the seas.

Why the IMD matters more than ever 🔗

Climate change is making weather patterns more erratic and extreme events more frequent. In this context, the IMD’s role extends well beyond issuing daily forecasts. It is an institution that directly reduces disaster casualties, supports agricultural livelihoods, enables safer transportation, and informs national climate policy. The journey from 10,000 cyclone deaths in 1999 to zero fatalities in recent years is a powerful testament to what accurate forecasting combined with effective disaster management can achieve.

As IMD integrates AI, expands its observational networks, and works toward the ambitious targets of Vision 2047, its ability to protect India’s population from climate-related disasters will only strengthen. But challenges remain – particularly in predicting localised extreme events in complex terrain like the Himalayas, and in ensuring that warnings reach the most vulnerable communities in time.

What do you think? With cyclone-related fatalities dropping to zero in recent years, can IMD’s model of early warning and disaster coordination serve as a blueprint for other climate-vulnerable nations? And as AI transforms weather prediction, how should India balance the need for technological advancement with the challenge of ensuring last-mile warning delivery to its most remote communities?

References

1. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2092861
2. https://en.wikipedia.org/wiki/India_Meteorological_Department
3. https://blog.mygov.in/editorial/celebrating-150-years-of-excellence-a-journey-of-the-india-meteorological-department/
4. https://carboncopy.info/inside-indias-struggle-to-build-a-reliable-early-warning-system/
5. https://organiser.org/2026/02/27/342090/bharat/climate-intelligence-indian-ai-led-path-to-net-zero-resilience/
6. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2092716
7. https://aidmi.org/blog/india-meteorological-department-and-tropical-cyclones-key-achievements-and-agenda/
8. https://rsmcnewdelhi.imd.gov.in/four-stage-warning.php
9. https://www.business-standard.com/india-news/imd-aims-at-zero-error-forecast-up-to-3-days-zero-disaster-deaths-by-2047-125011401023_1.html