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India to Boost Weather Forecasting Capabilities with New Mission

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India to Boost Weather Forecasting Capabilities with New Mission

Context:

India’s weather forecasting capabilities are set to receive a significant boost with the launch of a new mission aimed at improving predictions for local and extreme weather events

 

More on News:

  • The mission will have a budget of at least Rs 10,000 crore, making it a substantial enhancement compared to the Monsoon Mission launched in 2012
  • This new initiative aims to address the limitations of the India Meteorological Department (IMD), which has struggled with local-level accuracy, particularly during extreme weather events.

Weather Forecasting 

  • It is crucial for effective disaster management and decision-making, particularly in a country like India, where predicting rain, cyclones, heatwaves, and droughts can significantly impact various sectors. 
  • The Indian Meteorological Department (IMD) is the primary agency responsible for meteorology in India.
  • Specialising in the complex science of weather prediction through observation, modelling, and interpretation of numerous variables.

Key Highlights:

  • A recent report highlighted that IMD’s rainfall forecasts for Mumbai were inaccurate on approximately 40% of the days in July.
  • The mission will expand measurement networks, boost data collection, and refine simulation models
    • For example, events once expected only once in 50 to 100 years are now happening more frequently. Recent impacts include landslides in Kerala and lake outbursts in Sikkim and Uttarakhand.
  • Current prediction software uses outdated global forecasting systems and weather models. While AI/ML technologies hold promise for better forecasts, their effectiveness relies on high-quality data.
  • A promising development is the initiation of the Weather Information Network and Data System (WINDS).

Weather Information Network and Data System (WINDS)

  • Initiated by the Department of Agriculture & Farmers Welfare and the Ministry of Agriculture & Farmers Welfare.
  • Aims to generate long-term, hyper-local weather data and create a national-level database.
  • Plans to install over 200,000 ground stations (AWS and ARG) to improve weather data utilisation and forecasting accuracy.

Enhancements Under the New Mission:

  • Research and Development: Focus on assessing climate change impacts.
  • Weather Monitoring Network: Strengthening with more sophisticated instruments like Doppler radars.
  • Weather Satellites: Deployment of new satellites, potentially from the INSAT-4 series, to provide high-resolution data. 
    • Existing satellites include INSAT-3D, INSAT-3DR, and INSAT-3DS.
  • Integration of AI and ML: Greater use of artificial intelligence and machine learning in weather forecasting.
    • IIT-Bombay researchers are already utilising AI/ML to forecast hyperlocal events in Mumbai.

 

Implications:

  • It will focus on developing advanced simulation models for India and incorporating climate change scenarios, going beyond past efforts that mainly improved infrastructure and computing power.
  • The government’s “Make in India” initiative and support for startups are driving the use of AI and machine learning for more precise weather predictions.
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