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He said that the use of artificial intelligence and machine learning is not as prevalent as it is in other fields and it is relatively new in the area of weather forecasting.
“The IMD has invited research groups who can study how artificial intelligence (AI) be used for improving weather forecasting and the Ministry of Earth Sciences is evaluating their proposals,” Mohapatra said.
He said that the IMD is also planning to do collaborative studies on this with other institutions.
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The IMD issues forecasts for extreme weather events like thunderstorms, dust storms. Unlike cyclones, predictions of thunderstorms, which also bring lightning, squall, and heavy rains, are more difficult as extreme weather events develop and dissipate in a very short period of time.
Last month, over 160 people died due to lightning alone in Uttar Pradesh and Bihar. The IMD wants to better the nowcast predictions through AI and machine learning.
“Artificial intelligence helps in understanding past weather models and this can make decision-making faster,” Mohapatra said.
The National Oceanic and Atmospheric Administration (NOAA) of the US announced new strategies this year to expand the agency’s application of four emerging science and technology focus areas NOAA Unmanned Systems, artificial intelligence, Omics, and the cloud — to guide transformative advancements in the quality and timeliness of NOAA science, products, and services.
Omics is a suite of advanced methods used to analyze material such as DNA, RNA, or proteins.
With regard to AI, it said the overarching goal of the NOAA Artificial Intelligence (AI) Strategy is to utilize AI to advance NOAA”s requirements-driven mission priorities.
The NOAA said that through this, it seeks to reduce the cost of data processing and provide higher quality and more timely scientific products and services for societal benefits.