Bharat Forecast System (BFS)
 
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Bharat Forecast System (BFS)

Mon 26 May, 2025

Reference:

  • On 26 May 2025, the Ministry of Earth Sciences, Government of India, launched a high-resolution (6 km) numerical global weather model named Bharat Forecasting System (BFS).

Key Highlights:

  • Launched by Union Minister of Earth Sciences, Dr. Jitendra Singh at Vigyan Bhawan, New Delhi.
  • Developed by Indian Institute of Tropical Meteorology (IITM), Pune.
  • Built with a 6 km high-resolution grid, making it one of the most accurate global weather forecast models.
  • Aims to deliver hyper-local weather forecasts up to the panchayat level, helping sectors like agriculture, disaster management, water resources, and public health.

Main Features:

High Resolution (6 km):

  • BFS operates on a 6 km grid resolution, which is twice as precise as the previous global forecast models (12 km grids).
  • It enables micro-level weather predictions, crucial for forecasting localized extreme events like cloudbursts.

Panchayat-Level Forecasting:

  • Provides localized forecasts at the panchayat level, benefitting rural communities, especially farmers.
  • It is a joint initiative of the Ministry of Panchayati Raj, India Meteorological Department (IMD), and Ministry of Earth Sciences.

Nowcasting (2-hour Forecast):

  • Offers nowcasting for the next 2 hours to predict short-term, fast-changing weather events such as thunderstorms and cloudbursts.
  • Utilizes data from 40 Doppler Weather Radars, with a plan to expand to 100 radars.

Supercomputer 'Arka':

  • Powered by the ‘Arka’ supercomputer with 11.77 petaflops of computational speed and 33 petabytes of storage.
  • Processes data faster than the previous ‘Pratyush’ system, reducing forecast time from 10 to 4 hours.

Disaster Management and Other Benefits:

  • Accurate predictions of cyclones, heavy rainfall, heatwaves, and other extreme weather events.
  • Helps in disaster risk reduction, agricultural planning, water management, and public safety.

Analysis:

1. Technological Advancement & Self-Reliance:

  • BFS is India’s first indigenous high-resolution weather model, reducing dependency on global models like the US GFS or CFS.
  • Its fine resolution improves accuracy in predicting micro-events like cloudbursts.
  • Backed by the high computing capacity of 'Arka', it ensures faster and more reliable forecasts.

2. Impact at Panchayat Level:

  • Helps farmers make informed decisions regarding sowing, irrigation, and harvesting.
  • Supports food security and agricultural productivity.
  • Weather updates will be integrated with digital platforms like e-GramSwaraj and Meri Panchayat app.

3. Disaster Management:

  • Enhances early warning systems for extreme weather events.
  • The 2-hour nowcast improves real-time administrative responses to disasters.

4. Economic and Social Impact:

  • Helps reduce economic losses by guiding timely agricultural and public safety actions.
  • Improves community resilience through localized alerts.
  • Supports efficient water resource and flood management.

5. Global Positioning:

  • With its 6 km resolution, BFS is one of the most advanced global weather models.
  • Establishes India as a technological leader in meteorology.
  • Enhances India's global scientific reputation.

Ministry of Earth Sciences (MoES):

  • Established in July 2006 by upgrading the Department of Ocean Development.

Key Functions and Responsibilities:

  • Weather and climate forecasting through IMD (monsoons, cyclones, heatwaves).
  • Earthquake and tsunami monitoring via the National Tsunami Warning Center.
  • Ocean and coastal monitoring for marine resource prediction.
  • Earth observation using satellites and radar.
  • Promoting scientific research through dedicated institutions.

Major Organizations under MoES:

Organization Name Year of Establishment Headquarters Key Role/Functions
India Meteorological Department (IMD) 1875 New Delhi Weather & climate forecasts, cyclone warnings, monsoon monitoring, BFS-based panchayat forecasts
Indian Institute of Tropical Meteorology (IITM) 1962 Pune, Maharashtra Monsoon research, climate modeling, BFS development, operates supercomputer 'Arka'
National Center for Seismology (NCS) 2006 New Delhi Seismic monitoring, earthquake risk assessment, early warning, updated seismic hazard maps
National Institute of Oceanography (NIO) 1966 Dona Paula, Goa Marine biodiversity, resource exploration, blue economy, deep-sea mining research
National Centre for Polar and Ocean Research (NCPOR) 1998 Vasco-da-Gama, Goa Manages Antarctic stations (Maitri, Bharati), polar climate studies, marine research

 

 

 

 

 

 

 

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