Lok Sabha Question No. 1689 (UNSTARRED), answered on 2023-12-13
Subject: Doppler Weather Radar Network
Ministry: EARTH SCIENCES
Asked by: Mohanbhai Kalyanji Kundariya, Sudarshan Bhagat, Dipsinh Shankarsinh Rathod

## GOVERNMENT OF INDIA

## MINISTRY OF EARTH SCIENCES LOK SABHA

## UNSTARRED QUESTION NO. 1689 TO BE ANSWERED ON WEDNESDAY, 13 TH  DECEMBER, 2023

## DOPPLER WEATHER RADAR NETWORK

## 1689.   SHRI MOHANBHAI KALYANJI KUNDARIYA:

SHRI SUDARSHAN BHAGAT:

SHRI DIPSINH SHANKARSINH RATHOD:

Will the Minister of EARTH SCIENCES be pleased to state:

- (a) the details of the deployment and progress of the Doppler Weather Radar Network across the country;
- (b) the advantages that the new Doppler Weather Radar Network offer when compared to the previous weather prediction system; and
- (c) the  details  regarding  assessment  of  this  network  is  able  to  along  with  the  expectations from it to enhance weather prediction accuracy;

## ANSWER

## THE MINISTER OF EARTH SCIENCES (SHRI KIREN RIJIJU)

- (a) Currently,  there  are  39  Doppler  Weather  Radars  (DWRs)  well  distributed  across  the country to monitor severe weather events and are listed in Annexure-I.
- (b-c) With this current deployment of DWR network, India Meteorological Department (IMD) has  made  an  immense  improvement  in  forecasting  weather  events.  Some  important achievements are given below;
-  The  nowcast  accuracy,  i.e.  Probability  of  Detection  (PoD)  has  increased  from 61% in 2014 to 91% in 2023
-  No cyclone has gone undetected due to the coastal Radars
-  The  heavy  rainfall  events  in  plains  and  hilly  areas  are  also  better  detected  and predicted.
-  Moreover, the data from these DWRs are assimilated in various state-of-the-art regional  and  global  dynamical  models  for  generating  the  forecasts  at  various temporal and spatial scales. Radar observations are helping in further tuning the model forecasts and warning at local scale in terms of severity and detection of cyclones, rains, thunderstorms. The nowcast model, viz. High-Resolution Rapid Refresh  Modelling  System  (IMD-HRRR)  and  Electric  Weather  Research  and Forecasting  (EWRF)  model  use  Radar  data  for  prediction  of  rainfall  and thunderstorm in 6 to 12 hours advance.

Annexure-1 DWR network over India with location names and name of states

|   S. No. | States         | Name of Station     | DWRtype               |
|----------|----------------|---------------------|-----------------------|
|        1 | West Bengal    | Kolkata             | S-Band                |
|        2 | Andhra Pradesh | Machilipatnam       | S-Band                |
|        3 | Andhra Pradesh | Visakhapatnam       | S-Band                |
|        4 | Andhra Pradesh | Hyderabad           | S-Band                |
|        5 | Andhra Pradesh | Sriharikota (ISRO), | S-Band                |
|        6 | Delhi          | Palam               | S-Band                |
|        7 | Delhi          | HQ New Delhi        | C-Band (Polarimetric) |
|        8 | Delhi          | Aya Nagar           | X-Band                |
|        9 | Maharashtra    | Nagpur              | S-Band                |
|       10 | Maharashtra    | Mumbai              | S-Band                |
|       11 | Maharashtra    | Mumbai Veravali     | C-Band                |
|       12 | Maharashtra    | Solapur             | C-Band                |
|       13 | Tripura        | Agartala            | S-Band                |
|       14 | Bihar          | Patna               | S-Band                |
|       15 | Uttar Pradesh  | Lucknow             | S-Band                |
|       16 | Punjab         | Patiala             | S-Band                |
|       17 | Assam          | Mohanbari           | S-Band                |
|       18 | Madhya Pradesh | Bhopal              | S-Band                |
|       19 | Odisha         | Paradip             | S-Band                |
|       20 | Odisha         | Gopalpur            | S-Band                |
|       21 | Tamil Nadu     | Karaikal            | S-Band                |
|       22 | Tamil Nadu     | Chennai NIOT        | X-Band                |
|       23 | Tamil Nadu     | Chennai             | S-Band                |
|       24 | Goa            | Goa                 | S-Band                |
|       25 | Gujarat        | Bhuj                | S-Band                |
|       26 | Rajasthan      | Jaipur              | C-Band (Polarimetric) |
|       27 | Jammu &Kashmir | Srinagar            | X-Band                |
|       28 | Jammu &Kashmir | Jammu               | X-Band                |
|       29 | Jammu &Kashmir | Banihal Top         | X-Band                |

|   30. | Kerala           | Kochi                         | S-Band                |
|-------|------------------|-------------------------------|-----------------------|
|    31 | Kerala           | VSSC (ISRO) Thiruvananthpuram | C-Band                |
|    32 | Uttarkhand       | Mukteshwar                    | X-Band                |
|    33 | Uttarkhand       | Surkanda Devi                 | X-Band                |
|    34 | Uttarkhand       | Lansdowne                     | X- Band               |
|    35 | Ladakh           | Leh                           | Transportable X- Band |
|    36 | Himachal Pradesh | Kufri                         | X-Band                |
|    37 | Himachal Pradesh | Jot                           | X-Band                |
|    38 | Himachal Pradesh | Murari Devi                   | X-Band                |
|    39 | Meghalaya        | Cherapunji (ISRO)             | S-Band                |

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