PARLIAMENT QUESTION: PRITHVI VIGYAN SCHEME
PARLIAMENT QUESTION: PRITHVI VIGYAN SCHEME
The implementation of the Prithvi Vigyan (PRITHVI) Scheme has led to significant strengthening of long-term Earth observation networks including atmospheric, oceanic, cryospheric, geophysical systems along with the advances in numerical modelling and data assimilation capabilities.
Under the PRITHvi VIgyan (PRITHVI) Scheme, new observational assets have been deployed and upgraded across diverse geographies and domains. These include:
Measurable improvements have been achieved across weather, climate, ocean, seismic, and disaster forecast services provided to states and the concerned ministries. Forecast accuracy for severe weather events has improved by 40% in recent decades, with one-day-ahead heavy rainfall warnings during the 2025 monsoon reaching 85% accuracy compared to 77% in 2020. Cold wave forecasts showed up to 65% gains in accuracy, while thunderstorm and lightning predictions improved by 53%. Cyclone forecasts demonstrated better track, intensity, and landfall predictions, and heatwave forecasts gained two extra days of lead time with the same accuracy as earlier shorter forecasts. Ocean services strengthened through the optimal ocean observing network, unified ocean modelling framework for operational ocean prediction, sea level projection, and ocean re-analysis to build a Digital Twin of the Ocean that can be effectively used for disaster prediction. The sea level rise, extreme sea levels and tidal inundations generated from climate change scenarios are used to assess the impact along the coastal zones. Seismology services advanced with a denser national network, enabling detection of earthquakes of magnitude 3.0 and above, and completion of seismic microzonation for 12 cities, for risk mitigation.
A total of 9342 crore SMS has been sent since August 2021 and during recent cyclone “MonTha”, a total of 77.64 crore SMS sent to people. All these improvements have led to significant improvement in forecast accuracy of severe weather events and also significant reduction in death toll. For example, due to cyclones, around 7000 people lost their lives in 1999 Odisha Super Cyclone while it has been reduced to less than 100 over entire region from impact of tropical cyclones during recent years. Accurate forecast of 1 cyclone saves around 1100 crore rupees in terms of expenditure towards payment of ex-gratia to kins of dead, cost towards evacuation and savings to various sectors e,g Power, Marine, Aviation, Railways, etc. Similarly, heat wave related losses of lives have been reduced in recent years.
The outputs of the PRITHVI scheme are the services provided covering all the five components of earth system namely atmosphere, hydrosphere, geosphere, cryosphere and biosphere that improve the understating of the Earth System Sciences. These services include weather forecasts (both on land and in the oceans) and warnings for various natural disasters like tropical cyclones, storm surge, floods, heat waves, thunderstorm and lightning; alerts for Tsunamis and monitoring of earthquakes, etc.
To improve India’s disaster preparedness, agriculture and water resource management, the Government has fully organized an institutional mechanism for strengthening the observational network and adopting new techniques and technology to integrate and assimilate all types of data through all computational and modelling supports for generating forecasts and warnings at a more granular scale of various severe weather events affecting the region.
Ministry through the India Meteorological Department (IMD) follows necessary steps and action in coordination with the National Disaster Management Authority (NDMA) and Centre of Development of Telematics (C-DOT) for the dissemination and communication of the warnings. As per Standard Operating Procedure (SOP), IMD is generating Common Alerting Protocol (CAP) alerts using SACHET platform for severe weather events like Heavy Rainfall, Cyclone, Lightning, Thunderstorm, Dust storm etc. These alerts are disseminated by State Disaster Management Authority (SDMA) to geo targeted users via SMS. These alerts are also disseminated through SACHET website and SACHET mobile app. IMD’s CAP feeds are also disseminated to Global Multi-Hazard Alert System (GMAS), Google, AccuWeather and Apple.
Bharat Sarkar has launched the Gram Panchayat Level Weather Forecasting (GPLWF) initiative recently. IMD, in collaboration with the Ministry of Panchayati Raj (MoPR), launched GPLWF for nearly all Gram Panchayats in India on 24th October 2024. These forecasts are accessible on digital platforms such as e-Gramswaraj (https://egramswaraj.gov.in/), the Meri panchayat app, e-Manchitra of MoPR, and Mausamgram of IMD (https://mausamgram.imd.gov.in/).
State agencies (Central Water Commission, State Irrigation Departments, SDMAs, Water Resource Departments, Agriculture & Water Boards, Canal & Command Area Authorities and Inter-State Water Boards) use PRITHVI outputs for water resource management by integrating forecasts into reservoir operations, flood and drought preparedness, and irrigation planning. Reservoir authorities regulate releases based on inflow predictions, while flood-prone regions receive early warnings for timely action. Seasonal outlooks guide groundwater recharge and water rationing, and irrigation departments schedule canal releases to optimize distribution. Basin-level forecasts also support inter-state water sharing, making PRITHVI a key tool for efficient and resilient water management.
Annexure I
Details of the Doppler Weather Radars (DWRs) in Maharashtra
S.No
State
Location
Maharashtra
Mumbai
Maharashtra
Nagpur
Maharashtra
IITM Solapur
Maharashtra
Veravali
Maharashtra
Mumbai, Juhu (IITM*)
Maharashtra
Mumbai, Panvel (IITM)
Maharashtra
Mumbai, Kalyan, Dombivali (IITM)
Maharashtra
Mumbai, Vasai, Virar (IITM)
Maharashtra
Mahabaleshwar (IITM)
*Indian Institute of Tropical Meteorology (IITM), Pune
Details of Seismic observatories in Maharashtra
S N
Station
Latitude (oN)
Longitude (oE)
Date of Installation
Date of Upgradation /Modernisation
1
Akola
20.7017
77.0146
25.04.1983
19.11.2015
2
Karad
17.3077
74.1835
01.01.1970
21.11.2015
3
Latur
18.4104
76.5333
20.12.1993
24.11.2015
4
Mumbai
18.8975
72.8127
01.01.1899
20.10.2015
5
Nagpur
21.1699
79.0509
08.12.1988
14.06.2016
6
Pune
18.5300
73.8490
01.01.1949
21.12.2007
7
Solapur
17.6703
75.9229
11.07.2021
11.07.2021
8
Hingoli
19.6542
77.0943
14.07.2021
14.07.2021
9
Nashik
20.0299
73.7983
18.07.2021
18.07.2021
10
Palghar
20.0348
72.9133
22.07.2021
22.07.2021
11
Taliye
17.3419
73.7829
04.01.2022
04.01.2022
12
Govare
17.3468
73.7379
21.12.2021
21.12.2021
13
Panderpani
17.2692
73.7623
06-02-2024
06-02-2024
14
Pathurpunj
17.3011
73.6991
06-02-2024
06-02-2024
15
Atoli
17.2898
73.7686
06-02-2024
06-02-2024
This information was submitted by Union Minister of State (Independent Charge) for Earth Sciences and Science & Technology Dr. Jitendra Singh in Lok Sabha on 11th February 2026.