Lok Sabha Question No. 4255 (UNSTARRED), answered on 2025-03-26
Subject: Installation of Doppler Weather Radar
Ministry: EARTH SCIENCES
Asked by: Shri Tangella Uday Srinivas

## MINISTRY OF EARTH SCIENCES

## GOVERNMENT OF INDIA LOK SABHA

## UNSTARRED QUESTION NO. 4255 TO BE ANSWERED ON WEDNESDAY, 26 TH  MARCH, 2025

## INSTALLATION OF DOPPLER WEATHER RADAR

## 4255.      SHRI TANGELLA UDAY SRINIVAS:

Will the Minister of EARTH SCIENCES be pleased to state:

- (a) whether  the  Government  has  launched  Mission  Mausam  to  augment  the  Doppler Weather Radar (DWR) network across the country for comprehensive radar coverage and improved weather forecasting accuracy;
- (b) if  so,  the  details  of  the  proposed  installation  of  87  additional  DWRs  by  2026,  along with their locations, State-wise;
- (c) whether the Government plans to install a Doppler Weather Radar in Kakinada under this initiative considering its vulnerability to cyclones and extreme weather events;
- (d) if so, the details thereof along with the timeline and budget allocated for the installation of a DWR in Kakinada; and
- (e) the overall impact expected from this initiative in enhancing disaster preparedness and early warning systems in Andhra Pradesh and other coastal regions?

## ANSWER

## THE MINISTER OF STATE (INDEPENDENT CHARGE) FOR MINISTRY OF SCIENCE AND TECHNOLOGY AND EARTH SCIENCES (DR. JITENDRA SINGH)

- (a) Yes.  The  Government  is  planning  to  augment  the  Doppler  Weather  Radar  (DWR) network across the country to improve the weather forecast under the Mission Mausam.
- (b) Under Mission Mausam, 53 DWRs (8 S-Band, 20 C-Band, and 25 X-Band) are planned to be installed across the country. Procurement and installation of another 34 DWRs are under ongoing India Meteorological Department (IMD) projects are under process. The exact locations for the DWRs are not yet finalised.
- (c)&(d) The sites for the DWR installation under the Mission Mausam will be determined so that  Kakinada  comes  under  the  Radar  coverage.  An  amount  of  Rs.  2000  Crores  has been earmarked under this Mission for the deployment of DWRs along with other stateof-the-art meteorological instruments and tools for further improvement  in  the monitoring  and  forecasting  of  extreme  weather  events  across the  country.  The installation of the DWRs is expected to be completed in 2 years from the date of issue of the work order.
- (e) The  Mission  Mausam  is  designed  to  enhance  weather  and  climate  monitoring  and forecasting capabilities across the country, including Andhra Pradesh and other coastal regions. The  Mission  is expected to provide accurate forecasts across various timescales,  from  short-term  weather  predictions  (hours  to  days)  to  medium-term forecasts (weeks) and long-term (seasonal) predictions. This will be achieved through the  deployment of next-generation observation systems, high-performance computing infrastructure, and  advanced  Earth system  models. The  integration of artificial intelligence  (AI)  and  machine  learning  (ML)  technologies  will  further  improve  the precision  of  predictions  by  enhancing  model accuracy  and  prediction  resolution.  The Mission Mausam will utilize an integrated approach that includes:
-  Short-term  forecasts  (up  to  72  hours):  These  will  be  based  on  high-resolution models by assimilating  atmospheric data from next-generation radars, satellites, wind profilers, etc.
-  Medium-term forecasts (3 to 15 days): The system will use advanced modeling techniques and high-performance computing resources to predict weather patterns with higher accuracy.
-  Long-term forecasts (seasonal to annual): The Mission will integrate data-driven methods and Earth system models, incorporating AI and ML to predict large-scale weather  and  climate  patterns,  providing  forecasts  for  months  or  seasons  in advance.

These  improvements  are  expected  to  offer  better  precision  in  forecasting  weather  and climate events, helping various sectors such as agriculture, disaster risk reduction, water, energy, health, and transportation.

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