Science & Tech

IMD to Integrate AI, ML & Big Data for Accurate Weather Forecasts and Early Warnings

6 November 20264 min1 source4 questionsStory 66 of 102

For Prelims: India Meteorological Department (IMD), Doppler Weather Radar, Numerical Weather Prediction (NWP), Artificial Intelligence (AI) in Meteorology, Nodal Ministry, Key Technologies, Target Sectors, Agriculture Advisory Level

For Mains: AI integration, early warning systems, climate resilience, precision agriculture, disaster risk reduction, public-private partnership

Source:HindustanHindustan

Why in the news?

The India Meteorological Department (IMD) is adopting AI, machine learning, and big data analytics to improve weather forecast accuracy and early warning systems. The initiative covers 16 technical areas including cyclone tracking, fog monitoring, flood mapping, and panchayat-level agricultural advisories, aiming to reduce disaster impact and support farmers.

Summary

  • IMD will use AI, ML, and big data to enhance weather forecasts and early warnings for cyclones, thunderstorms, fog, floods, and air pollution.
  • The department has invited proposals from private organisations, startups, and experts across 16 technical areas to develop innovative solutions.
  • A user-friendly mobile app and an integrated mapping system for transport network flooding are also planned as part of this modernisation.

Highlights

  • AI-Powered Forecasting

    IMD will integrate AI, ML, and big data analytics to improve accuracy of weather predictions and early warnings.

  • Panchayat-Level Farm Advisories

    A new ICT tool will provide weather and crop-stage specific advisories to farmers at the panchayat level.

  • Drones and Sensors for Data

    Low-cost autonomous sensors and specialised drones will be developed to collect weather data and monitor air quality.

Background

The India Meteorological Department (IMD), under the Ministry of Earth Sciences, has traditionally relied on conventional observation networks and numerical models. However, increasing frequency and intensity of extreme weather events due to climate change demand more accurate, localised, and timely forecasts. This initiative marks a shift towards leveraging modern computational techniques.

Key Analysis and Impact

The integration of AI, ML, and big data will enable IMD to process vast datasets from satellites, Doppler radars, and surface observations in real time. This can significantly improve nowcasting (3-6 hour ahead warnings) for thunderstorms, lightning, and heavy rainfall. The focus on rapidly intensifying cyclones addresses a critical gap. For agriculture, panchayat-level advisories can reduce crop loss and optimise input use, benefiting millions of small farmers. The open call for proposals encourages public-private-academia collaboration, fostering innovation.

Way Forward

Successful implementation requires robust data infrastructure, skilled manpower, and seamless integration of new tools with existing systems. Pilot projects in selected regions can validate the models before nationwide rollout. The development of a user-friendly mobile app will enhance public access to warnings. Continuous refinement using feedback from end-users, especially farmers and disaster management agencies, will be crucial.

Background GK

Textbook concepts you need to understand this news

India Meteorological Department (IMD)
The national meteorological service of India, established in 1875, responsible for weather observation, forecasting, and seismology. Headquarters: New Delhi. Parent Ministry: Ministry of Earth Sciences (MoES).
Doppler Weather Radar
A radar that uses the Doppler effect to measure the velocity and direction of precipitation particles, crucial for tracking severe weather like cyclones and thunderstorms.
Numerical Weather Prediction (NWP)
A method of weather forecasting that uses mathematical models of the atmosphere and oceans to predict weather based on current conditions.
Artificial Intelligence (AI) in Meteorology
The use of machine learning algorithms and neural networks to analyse large weather datasets, identify patterns, and improve forecast accuracy beyond traditional models.

Facts to remember

Tap a card to see the answer. Try to recall it first.

How exams will ask this

  • Data: IMD to use AI, ML, and big data across 16 technical areas
  • Nodal Body: Ministry of Earth Sciences (MoES)

Don't make this mistake!

Students may confuse the parent ministry of IMD – it is the Ministry of Earth Sciences (MoES), NOT the Ministry of Environment, Forest and Climate Change (MoEFCC) or the Ministry of Science and Technology.

Write these in mains answers

  • AI integration, early warning systems, climate resilience, precision agriculture, disaster risk reduction, public-private partnership

Stuck? Get it in one tap

Practice questions

Pick an answer, then read the explanation.

  1. Q1Easy

    Which ministry is the parent body of the India Meteorological Department (IMD)?

  2. Q2Hard

    Consider the following statements regarding the IMD's new technology initiative:

    1. 1.IMD will use Artificial Intelligence and Machine Learning to improve weather forecast accuracy.
    2. 2.The initiative includes developing a system to provide weather advisories to farmers at the district level.
    3. 3.IMD plans to use drones as a sustainable alternative to weather balloons.

    Which of the statements given above is/are correct?

  3. Q3Medium

    What is the target lead time for thunderstorm and lightning warnings under IMD's new AI-based system?

  4. Q4Medium

    What is the primary objective of IMD's initiative to integrate AI, ML, and big data into its operations?

Frequently asked questions

1. What new technologies will the India Meteorological Department use?

IMD will integrate Artificial Intelligence (AI), Machine Learning (ML), and Big Data Analytics into its weather forecasting and early warning systems.

2. What is the lead time for thunderstorm warnings under the new IMD initiative?

The new AI-based technology aims to provide warnings for thunderstorms, lightning and heavy rainfall 3 to 6 hours in advance.

3. At what level will farmers receive weather advisories under this IMD plan?

IMD plans to provide weather and crop-stage specific advisories to farmers at the panchayat level using an ICT-based tool.

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