Lok Sabha Question No. 332 (UNSTARRED), answered on 2025-12-02
Subject: AI Integrated Early Warning Systems
Ministry: HOME AFFAIRS
Asked by: Shri Bastipati Nagaraju, Shri B K Parthasarathi

## GOVERNMENT OF INDIA MINISTRY OF HOME AFFAIRS

## LOK SABHA UNSTARRED QUESTION NO. 332

TO BE ANSWERED ON THE 02 ND  DECEMBER, 2025/ AGRAHAYANA 11, 1947 (SAKA)

## AI INTEGRATED EARLY WARNING SYSTEMS

332. SHRI B K PARTHASARATHI: SHRI BASTIPATI NAGARAJU:

Will the Minister of HOME AFFAIRS be pleased to state:

- (a) whether the Government has plans to integrate artificial intelligence with early warning systems under the National Disaster Management Plan (NDMP);
- (b) if so, the details thereof including the model being used and agencies involved if not, the reasons therefor;
- (c) whether the Government has collaborated with any Indian national/international  universities  or  any  tech  firm  to  develop  an  AI integrated model for early warning systems;
- (d) if so, the details thereof including the universities being collaborated with, if not, the reasons therefor;
- (e) whether the Government has allocated funds for the development of AI integrated early warning systems for natural disasters; and
- (f) if so, the details thereof, especially funds allocated and released for Andhra Pradesh and if not, the reasons therefor?

## ANSWER

MINISTER OF STATE IN THE MINISTRY OF HOME AFFAIRS (SHRI NITYANAND RAI)

(a) to (f): The National Disaster Management Plan (NDMP), 2016 which was subsequently revised and updated in 2019, is aligned with the targets laid

## L.S.US.Q.NO. 332 FOR 02.12.2025

down under the Sendai Framework for Disaster Risk Reduction (SFDRR) and Prime Minister ' s 10-Point Agenda on Disaster Risk Reduction ( DRR ) .

The broad objectives of NDMP 2019 includes the effective use of science, technology and traditional knowledge in all aspects of DRR. Agenda 5 of the Prime Minister's 10 -Point Agenda on DRR provides that efforts must be made to leverage technology to enhance the efficiency of our disaster risk management efforts. As such, the use of latest technologies is an essential facet in our efforts for DRR.

Early warning for severe weather events is supported by a state-of-the-art observation  network  that  includes  surface,  upper  air,  remote  sensing observations,  seamless  forecasting  systems  based  on  high-resolution dynamical  models, and GIS-based tools for generating alerts and warnings. The entire system is integrated with modern telecommunication  technologies  to  ensure  the  timely  and  effective dissemination of information.

Technology enabled initiatives such as Mausamgram Platform of Indian Meteorological Department (IMD) (a citizen-centric app providing villagelevel hourly forecasts in all official languages) and Mission Mausam (2030 initiative to scale AI-driven forecasts to high resolution) are some steps in the direction of harnessing latest technology for early warning.

## L.S.US.Q.NO. 332 FOR 02.12.2025

IMD  has  informed  that  to  integrate  Artificial  Intelligence  to  Weather Forecasting and Early warning systems, IMD, in coordination with various centres of Ministry of Earth Sciences (MoES), has taken following new initiatives during recent years:

- Implementation of Mausam GPT
- AI/ML  based  Advanced  Dvorak  Technique  (AiDT)  technique  to estimate the intensity of cyclones.
- IMD  also  utilizes  AI / ML  based  weather  forecasting  products  from European Centre for Medium-Range Weather Forecasts. (ECMWF).
- Multilingual weather forecasting using Bhashini app is being used in IMD to disseminate the information in regional languages.

Details of all the initiatives taken by IMD, in coordination with MoES, to integrate AI/ML in weather, monitoring system and early warning system are given in Annexure 1.

IMD has signed MoU with various Academic Institutions like IITs, IIITs, NITs,  ISRO,  DRDO,  Ministry  of  Electronics  and  Information  Technology (MeitY),  Ashoka  university,  etc  for  collaborations  and  R&D  activities, utilizing facets of various AI/ML applications in, weather and climate, realtime weather monitoring, early warning system, etc.  Such efforts by IMD have helped it re-engineered its processes for 7-day lead forecasts .

## L.S.US.Q.NO. 332 FOR 02.12.2025

Further, Government of India has launched a scheme namely, Common Alerting  Protocol  (CAP)  based  Integrated  Alert  System  (SACHET),  in association with Centre for 'Development of Telematics' (CDO T) at a total project cost of Rs. 355 crore. It facilitates dissemination of warnings/alerts  about  impending  hazards  to  geographically  referenced population, in vernacular languages.

It  is  a  geo-intelligent  platform  that  uses  AI  for  subscriber  prediction, automated alert generation, and message content analysis. C-DOT has consulted IIT Delhi for a Collaborative Research Program on generative AI tool  for  real-time  multilingual  support  using  NLP,  speech-to-text,  and image processing for early warning.

Further, Central Water Commission (CWC) has informed that development of  AI/ML-based  systems  for  flood  forecasting  has  commenced  in-house within  CWC  recently,  specifically  focusing  on  Short-range  Level  Flood Forecasting (Time Series Forecasting) using artificial intelligence models.

Early Warning systems of Alert agencies such as IMD, National Remote Sensing Centre (NRSC), etc. are of pan-India applicability and data about the funds allocated for the development of AI Integrated early warning systems for particular State is not maintained by this Ministry.

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## L.S. US. Q. No. 332 for 02.12.2025

The Continuous up gradation taking place in technologies relevant to AI for weather forecasting, early warning system, etc. The details are as follows:

1. Virtual  Centre  at  IITM,  Pune  has  been  established  by  MoES  to develop AI/ML/DL based application tools.
2. A  dedicated  functional  group  has  been  established  in  IMD  under MoES to strengthen the R&D activities in AI/ML
3. IMD has established specialized GPU and CPU based infrastructure for AI computing
4. IMD has signed MoU with various Academic Institutions like IITs, IIITs,  NITs,  ISRO,  DRDO,  Ministry  of  Electronics  and  Information Technology  (MeitY),  etc  for  collaborations  and  R&D  activities, utilizing facets of various AI/ML applications to weather and climate.
5. The capacity-building in AI/ML domain with respect to weather and climate are being done by nominating scientist in training sessions and workshops.
6. IMD organizes a short-term refresher course on the Fundamentals of Artificial Intelligence and Machine Learning every year in the month of May.

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