Raipur: The India Meteorological Department (
IMD) is set to introduce Artificial Intelligence (AI) for weather forecasting shortly.
Director General, Dr Mrityunjay Mahapatra, informed that the AI system is currently in the development phase and is expected to deliver accurate weather information for areas up to 300 kilometres.
Mentioning that AI-based tools, including those developed with Artificial Intelligence Markup Language (AIML), will be integrated with the existing numerical weather prediction models.
A dedicated team has been formed to oversee this initiative.
He also highlighted that while AI is being used in a limited capacity at present, there is significant potential for its broader application. The IMD has collected weather data dating back to 1901. Once the AI methods are fully developed, this extensive data will be analyzed to improve the accuracy of weather forecasts.
The IMD is also enhancing its weather forecasting capabilities with the installation of a Doppler radar in Raipur.
Dr Mahapatra explained that this radar would provide real-time data on cloud formations, offering more accurate weather forecasts. Previously, the Raipur Meteorological Center relied on satellite images, lightning detection systems, and weather observations for forecasts.
The new Doppler radar will provide real-time information on cloud conditions within a 300-kilometer radius, including data on storm intensity, wind speed, rainfall, and potential hail. Doppler radar functions by emitting special waves that interact with atmospheric systems, generating continuous, colour-coded images of weather conditions in the control room. This technology will enable the IMD to broadcast accurate weather information every hour or two.
He further stated that the accuracy of IMD’s weather forecasts has improved by 40 to 50 per cent compared to previous years. The IMD now boasts an 80% accuracy rate for heavy rainfall forecasts issued 24 hours in advance at the sub-division level.
The IMD's pinpoint cyclone forecasts have also contributed to a reduction in the loss of life and property during such events, he said.
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