**Executive Summary**
The Ministry of Earth Sciences is implementing the "Mission Mausam" scheme (2024–2026) with a ₹2,000 crore budget to modernize India's climate monitoring and weather forecasting. The initiative aims to make the country "Weather Ready and Climate Smart" by enhancing observational networks, computing power, and last-mile dissemination. Key milestones include reaching 28 Peta FLOPS of computing capacity by 2025 and achieving 92% geographical coverage via Doppler Weather Radars.
**Key Points / Main Content**
**Mission Mausam and Strategic Goals**
* **Budget and Timeline:** A central sector scheme approved in 2024 with an outlay of ₹2,000 crore for the period 2024-25 to 2025-26.
* **Primary Objectives:** Improving weather and climate prediction, strengthening observation networks, and enhancing high-resolution Numerical Weather Prediction (NWP) models.
**Observational Infrastructure**
* **Radar Coverage:** 48 Doppler Weather Radars (DWRs) are currently operational, covering 92% of India’s landmass, including vulnerable coastal and Himalayan regions.
* **Network Components:** Integration of manual observatories, Automatic Weather Stations (AWSs), Automated Rain Gauges (ARGs), and satellites for comprehensive monitoring.
**Technological and Computing Enhancements**
* **Computing Power:** Total capacity increased from 6.8 Peta FLOPS (2014) to 28 Peta FLOPS in 2025 through the 'Arunika' and 'Arka' systems.
* **Advanced Modeling:** Deployment of Bharat Forecasting System (BharatFS) and Mithuna-FS for high-resolution forecasting, alongside AI/ML for detecting climate change fingerprints.
* **Decision Support System (DSS):** A GIS-based end-to-end system that integrates historical, real-time, and satellite data to provide impact-based early warnings for extreme events like cyclones and heatwaves.
**Satellite and Environmental Monitoring**
* **ISRO Collaboration:** Utilization of INSAT-3DR, INSAT-3DS, and Oceansat-3 for cyclone detection and storm tracking.
* **Glacier Tracking:** Use of remote sensing and GIS to monitor the mass and movement of Himalayan glaciers.
**Information Dissemination and Localized Forecasting**
* **Digital Platforms:** Dissemination of alerts via mobile apps (MAUSAM, MEGHDOOT, DAMINI, UMANG, and SACHET) and the Common Alerting Protocol (CAP).
* **Panchayat-level Forecasting:** Launch of Gram Panchayat-level weather forecasting (GPLWF) accessible through e-Gramswaraj and the Mausamgram portal.
**Impact Analysis**
**General Public**
**Impact**
Improved safety and preparedness through more accurate, timely warnings for extreme weather events such as heavy rainfall, heatwaves, and lightning.
**Action Required**
Download and utilize official mobile applications (MAUSAM, DAMINI, SACHET) to receive real-time alerts and nowcasting updates.
**Farmers and Fishermen**
**Impact**
Access to hyperlocal weather advisories and maritime hazard warnings (e.g., high waves, swell surges) to support crop management and sea safety.
**Action Required**
Access weather information via the Mausamgram portal or localized digital platforms like Pashu Sakhi and Krishi Sakhi at the block level.
**District Collectors and Disaster Management Authorities (SDMAs)**
**Impact**
Receive direct, high-priority notifications for disaster coordination and impact-based forecasts to facilitate timely evacuations or emergency responses.
**Action Required**
Monitor dedicated communication channels, including e-mail, WhatsApp group notifications, and the Decision Support System (DSS) for early warning triggers.
**Gram Panchayats**
**Impact**
Enhanced local-level planning through the recent launch of Panchayat-level weather forecasts covering nearly all Gram Panchayats in India.
**Action Required**
Utilize digital platforms such as e-Gramswaraj, Meri Panchayat app, and e-Manchitra to disseminate weather information to the local community.
Key Entities Referenced
Mission Mausam: A central sector scheme approved in 2024 with a budget of ₹2,000 crore to enhance weather monitoring, climate prediction capabilities, and observational networks.
Ministry of Earth Sciences (MoES): The primary ministry implementing modernization programs for climate monitoring, observational networks, and high-performance computing facilities.
India Meteorological Department (IMD): The agency responsible for weather forecasting, recently launching Panchayat-level forecasts and the Mausamgram portal for information dissemination.
Indian Space Research Organisation (ISRO): A collaborating agency providing satellite-based observation capabilities and remote sensing technologies for monitoring extreme weather and Himalayan glaciers.
Decision Support System (DSS): An end-to-end GIS-based system developed for the automation and integration of weather data to provide timely impact-based early warnings.
Ministry of Earth Sciences
PARLIAMENT QUESTION: MODERNISING
CLIMATE MONITORING SYSTEM
Posted On: 01 APR 2026 11:47AM by PIB Delhi
The Government has undertaken several measures to strengthen and modernise climate monitoring and
weather forecasting systems in response to the increasing frequency and intensity of extreme weather
events such as heavy rainfall, heatwaves, cyclones, and droughts in the context of climate change. The
Ministry of Earth Sciences (MoES), through its constituent institutions, is implementing a range of
programs aimed at enhancing observational networks, improving modeling capabilities, and adopting
advanced data assimilation techniques. These efforts include expansion and modernisation of surface and
upper-air observational networks, Doppler Weather Radars, ocean observation systems, and high-
performance computing (HPC) facilities to support high-resolution numerical weather prediction (NWP)
and climate modeling.
To further enhance weather monitoring and forecasting across India and surrounding regions by
leveraging advanced observational and computing technologies for greater precision and resolution, the
Union Cabinet approved the central sector scheme Mission Mausam in 2024, with a budget outlay of
2,000 crore over two years (2024-25 to 2025-26). The primary objectives include improving weather and
climate prediction capabilities, strengthening observation networks, enhancing high-resolution NWP
models, and improving last-mile dissemination of weather services. In short, Mission Mausam aims to
make the country "Weather Ready and Climate Smart".
The Government has adopted advanced, state-of-the-art techniques, including high-resolution weather
prediction models, observational systems, and artificial intelligence-enabled forecasting tools, to improve
the accuracy of monitoring and prediction of climate change and associated extreme weather events.
Currently, MoES has a weather observation network comprising manual observatories, Automatic
Weather Stations (AWSs), Automated Rain Gauges (ARGs), Agro-AWS, Doppler Weather Radars
(DWRs), upper-air observatories, and satellites to monitor climate change and extreme weather events
across the country. At present, 48 Doppler Weather Radars (DWRs) are operational across the country,
covering vulnerable coastal areas, the Himalayan regions, and flood-prone zones, with approximately
92% of the country's total geographical area under radar coverage. In the coming years, DWRs will be
installed as per the requirement to cover the remaining gap areas in the country, provide redundancy, and
replacement of old radars in the DWR network under Mission Mausam of MoES.
For forecasting extreme weather events, two global models, GFS 12 km and NCUM 12 km, have been
operational since 2018. In addition, the Bharat Forecasting System (BharatFS) and Mithuna-FS were
developed with very high resolution to generate forecasts at very high resolution. Furthermore, AI/ML is
used for the detection and attribution of climate change and downscaling climate projections, identifying
climate fingerprints in heatwaves, heavy rainfall, cyclones, and estimating anthropogenic contributions.
To provide computational support for such high-resolution models and to enable regular real-time
operation, the computing facilities have also been substantially increased in computational power to
integrate voluminous data and run mesoscale, regional, and global models at higher resolution. Recently,with the 'Arunika' and 'Arka' systems, the Ministry of Earth Sciences has enhanced its total computing
power to 28 Peta FLOPS in 2025, a substantial increase from the previous capacity of 6.8 Peta FLOPS,
which was in 2014.
For the automation and integration of data and weather forecasts, the Ministry has developed an end-to-
end GIS-based Decision Support System (DSS) that serves as the front end of the early warning systems
for the timely detection and monitoring of weather hazards. It is supported with specific severe weather
modules in order to provide timely impact-based early warnings for extreme weather events like cyclones,
heavy rainfall, thunderstorms, lightning, fog, heatwaves, etc., which have devastating impacts on human
lives, livelihoods, and infrastructure. This system uses all historical data, their extremes, as well as real-
time surface and upper-air meteorological observations available to it for the Indian region and
neighbourhood. It also includes radar observations available every 10 minutes and satellite products every
15 minutes.
It also uses numerical weather prediction products from a suite of models run in MoES. For providing
impact-based forecasts and warnings, the DSS integrates exposure data with hazard data in the system.
The Ministry, in coordination with the Indian Space Research Organisation (ISRO), has strengthened
satellite-based observation capabilities for improved monitoring of extreme weather events and climate
parameters. In this context, satellites such as INSAT-3DR, INSAT-3DS, and Oceansat-3 are being utilised
for cyclogenesis prediction, cyclone detection, monitoring of storm evolution, track forecasting, and
landfall assessment. The satellite-derived observations are integrated with ground-based observations and
advanced numerical weather prediction models to enhance the accuracy and timeliness of forecasts.
Further, the Government is using satellite-based remote sensing systems to monitor the melting and
changes in the Himalayan glaciers. The Indian Space Research Organisation employs advanced remote
sensing and Geographic Information System (GIS) technologies to systematically monitor glacier extent,
mass, movement, and dynamics in the Himalayan region. Satellite remote sensing serves as an effective
tool for glacier inventory and monitoring due to its wide spatial coverage and frequent revisit capability.
The Ministry is in continuous endeavour of augmenting the observational network, including automated
weather stations and R&D infrastructure, towards achieving better accuracy in weather forecasting, as
well as strengthening early warning systems. The Government has undertaken various measures for the
effective dissemination of weather information and alerts through the Ministry. These include real-time
weather updates and dissemination of hyperlocal weather advisories to farmers, fishermen, and disaster
management authorities, to facilitate improved crop management and enhance preparedness against
adverse weather events:
Public alerts and information are disseminated through mobile applications such as MAUSAM,
MEGHDOOT, DAMINI, and UMANG.
Digital dissemination channels include e-mail and SMS-based nowcasting and forecasting alerts to
registered users.
Alerts are issued through the Common Alerting Protocol (CAP) and the SACHET App.
Information is shared via social media and mass media platforms.
District Collectors are informed through direct e-mail and WhatsApp group notifications, in
coordination with the State Governments, State Disaster Management Authority (SDMA), the
Fisheries Department, and the Agriculture Department.
Broadcast dissemination is carried out through community radio, public broadcasting systems, and
other local communication networks.
Dissemination is also undertaken through State Government mobile applications.Gram Panchayat-level weather forecasting (GPLWF) is facilitated through digital platforms such as
e-Gramswaraj, Meri Panchayat App, and e-Manchitra, in collaboration with the Ministry of
Panchayati Raj.
Weather information is disseminated to Pashu Sakhi and Krishi Sakhi at the block and Panchayat
levels in collaboration with the Ministry of Rural Development.
Weather forecasts are accessible through the Mausamgram portal of the India Meteorological
Department.
Ocean-based early warning advisories for maritime hazards, such as high waves, strong currents,
swell surges, storm surges, and tsunamis.
Provides operational support during maritime emergencies through the Search and Rescue Aid Tool
(SARAT) and oil-spill trajectory advisories.
IMD, in collaboration with the Ministry of Panchayati Raj (MoPR), has recently launched Panchayat-level
weather forecasts covering nearly all Gram Panchayats in India. These forecasts are accessible through
digital platforms such as e-Gramswaraj (https://egramswaraj.gov.in), Meri Panchayat app, e-Manchitra of
MoPR, and Mausamgram of IMD, MoES (https://mausamgram.imd.gov.in).
This information was submitted by Union Minister of State (Independent Charge) for Earth Sciences and
Science & Technology Dr. Jitendra Singh in Lok Sabha on 1st April 2026.
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