**Summary:**
Since 2021, the Ministry of Earth Sciences (MoES) has significantly improved monsoon prediction accuracy through the implementation of a Multi-Model Ensemble (MME)-based forecasting strategy. The average absolute error in monsoon forecasts for 2021-2024 has been reduced to 2.28% of the Long Period Average (LPA), compared to 7.5% in the preceding four years (2017-2020). This improvement is attributed to advanced technologies, including the MME technique utilizing global climate forecast systems such as the Monsoon Mission Climate Forecast System of MoES.
The recently launched Bharat Forecast System (BharatFS) provides forecasts at a higher spatial resolution of 6 km, compared to the previous 12 km, and offers rainfall event predictions up to 10 days. This enhances monsoon rainfall forecasting at the panchayat/cluster of panchayats level, benefiting the public, farmers, disaster managers, and other stakeholders.
State-of-the-art weather and climate models, supported by surface and upper-air meteorological observations, radar products (DWRs Karaikal and Chennai), and satellite products (10-minute to 3-hour timescale), are used to provide rainfall and cyclone severe weather warnings to Tamil Nadu and Cuddalore district. MoES institutions disseminate weather and climate information and early warnings through various channels, including social media, Common Alert Protocol, mobile apps, WhatsApp, and APIs, enabling timely evacuations and minimizing human casualties in vulnerable areas.
The India Meteorological Department (IMD) utilizes a seamless forecasting system and Standard Operating Procedures (SOPs) for monitoring and forecasting weather hazards. In coordination with other MoES centers, IMD has developed a GIS-based Decision Support System (DSS) for timely detection and monitoring of all-weather hazards, including specific severe weather modules for impact-based early warnings.
In 2024, the Union Cabinet approved Mission Mausam, launched on January 14, 2025, with the goal of making Bharat a "Weather-ready and Climate-smart" nation. Phase 1 (2024-2026) of Mission Mausam focuses on developing cutting-edge weather surveillance technologies, implementing higher-resolution atmospheric observations, deploying next-generation radars and satellites, implementing advanced high-performance computing (HPC) systems, enhancing understanding of weather and climate processes, developing advanced Earth system models and data-driven methods (including AI/ML), creating technologies for effective weather management, establishing a state-of-the-art DSS and dissemination system, and strengthening capacity building and research collaborations.
The Climate Research Unit (CRU) at IMD Pune and the Regional Meteorological Centers (RMC) Chennai cater to the weather and climate service needs of each district of Tamil Nadu, including Cuddalore.
This information was provided by Dr. Jitendra Singh, Union Minister of State (Independent Charge) for Science and Technology, Earth Sciences, MoS PMO, MoS Personnel, Public Grievances Pensions, Department of Atomic Energy and Department of Space.
Key Entities Referenced
MultiModel Ensemble MME: A forecasting strategy used for monsoon predictions, implemented in 2021.
Long Period Average LPA: A benchmark used to measure the accuracy of monsoon forecasts.
Monsoon Mission Climate Forecast System: A global climate forecast system of the Ministry of Earth Sciences (MoES).
Bharat Forecast System BharatFS: A forecasting system providing forecasts at a granular scale.
Tamil Nadu: A State in India that receives rainfall and cyclone warnings.
Cuddalore: A district in Tamil Nadu, India, vulnerable to cyclones and heavy rainfall.
Mission Mausam: A mission approved in 2024 to make Bharat a 'Weather-ready and Climate-smart' nation.
India Meteorological Department IMD: An organization that utilizes a forecasting system and implements Standard Operating Procedures for monitoring weather hazards.
Ministry of Earth Sciences
PARLIAMENT QUESTION: WEATHER
FORECASTING DURING MONSOON
Posted On: 20 AUG 2025 4:34PM by PIB Delhi
Since the implementation of the Multi-Model Ensemble (MME)-based forecasting strategy in 2021, the accuracy
of monsoon predictions has shown marked improvement for2021–2024. For 2021-2024, the average absolute
error of such forecasts has been 2.28% of the Long Period Average (LPA) compared to 7.5% in the preceding
four years (2017–2020).
The advanced technology used for monsoon forecast includes the multi-model ensemble technique utilizing
global climate forecast systems, including the Monsoon Mission Climate Forecast System of MoES. In addition,
the recently launched Bharat Forecast System (BharatFS) has been providing forecasts at a more granular scale. It
presently operates in real-time at a very high spatial resolution of 6 km compared to the previous 12 km
resolution of the global forecasting system. It also hasthe capability to provide predictions of rainfall events upto
10 days, covering the short and medium range. Thus, it would help to provide monsoon rainfall forecast at the
panchayat/cluster of panchayats level for the public, farmers, disaster managers and other stakeholders. All these
state-of-art weather and climate models supported by various local surface and upper air based meteorological
observations, radar products available from DWRs Karaikal and Chennai and satellite products which are
available at 10 minute to 3-hour time-scale have been in use for providing all rainfall and cyclone severe weather
warnings to the State of Tamil Nadu and Cuddalore district which is time to time affected by cyclones and heavy
rainfall.
MoES institutions use the state-of-the-art dissemination system to share weather and climate information and
early warnings with disaster management authorities and the general public through various platforms/channels
for necessary preparedness and to support adaptation measures across the country, including coastal States. It
includes social media, Common Alert Protocol, Mobile Apps, WhatsApp and APIs. As a result, the vulnerable
population in rural and coastal areas gets evacuated on time to safe shelters, thereby reducing the human death
toll to a bare minimum.
IMD utilizes a seamless forecasting system at the seasonal to nowcast scale and implements well-defined
Standard Operating Procedures (SOPs) for monitoring & forecasting weather hazards. IMD, in coordination with
other centres in the MoES, has developed an end-to-end GIS-based Decision Support System (DSS), which has
been working as the front end of the early warning systems for the timely detection and monitoring of all-weather
hazards across the country, including Tamil Nadu. It is supported with specific severe weather modules to
provide timely impact-based early warnings for extreme weather events like cyclones, heavy rainfall, etc.
The Union Cabinet approved a new mission, Mission Mausam, in 2024. Its main goal is to make Bharat a
"Weather-ready and Climate-smart"nation. The Hon'ble Prime Minister launched it on 14th January 2025. Phase
1 of Mission Mausam will be implemented during 2024-26. Key objectives include:
Developing cutting-edge weather surveillance technologies and systems
(cid:108)
Implementing higher-resolution atmospheric observations with improved temporal and spatial
(cid:108)
sampling and coverage
Deploying next-generation radars, wind profilers and satellites equipped with advanced instrument
(cid:108)
payloads
Implementing advanced high-performance computing (HPC) systems
(cid:108)
Enhancing our understanding of weather and climate processes and improving prediction
(cid:108)
capabilities
Developing advanced Earth system models and data-driven methods, including the use of AI/ML
(cid:108)Creating technologies for effective weather management
(cid:108)
Establishing a state-of-the-art Decision Support System (DSS) and dissemination system for last-
(cid:108)
mile connectivity
Strengthening capacity building and research collaborations
(cid:108)
Climate Research Unit (CRU) at India Meteorological Department (IMD)-Pune and the local Regional
Meteorological Centers (RMC)-Chennai, are catering to the weather and climate services of each district of Tamil
Nadu, including Cuddalore, which is vulnerable to cyclones and heavy rainfall.
This information was given by Dr. Jitendra Singh, Union Minister of State (Independent Charge) for Science and
Technology, Earth Sciences, MoS PMO, MoS Personnel, Public Grievances & Pensions, Department of Atomic
Energy and Department of Space, in a written reply in the Lok Sabha today.
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NKR/PSM/AV
(Release ID: 2158401)