Home >Technology peripherals >AI >AI makes breakthrough in weather forecasting to cope with extreme climate in India
IT Home News on December 24, Reuters reported on Friday local time that India is testing the use of AI to build climate models to improve the accuracy of weather forecasts. A senior local meteorological official said that in India, a vast country, extreme weather events such as heavy rains, floods and droughts are occurring more and more frequently and are spreading.
The India Meteorological Department is reportedly using supercomputers to provide forecasts based on mathematical models, combining AI with an expanded observational network to produce higher quality forecast data at a lower cost.
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The head of the climate research and services department of the Indian Meteorological Department told Reuters that the department has used AI to generate public warnings about high temperatures and malaria, and also plans to add weather observation stations to provide village-level data to provide weather forecasts. Forecasts provide higher accuracy data.
The local government said Thursday it hopes to generate weather forecasts by integrating AI into traditional models. Saurabh Rathore, assistant professor at Indian Institute of Technology Delhi, said, "AI models do not require the high cost of running supercomputers, and it can even run on high-performance desktop computers."
In addition, the British Met Office also said that AI can "revolutionize" weather forecasting. According to reports, meteorological agencies around the world are currently paying attention to AI because it can reduce costs and increase speed.
According to previous reports from IT House, at the beginning of this month, the China Meteorological Administration and Huawei Technologies Co., Ltd. signed a deepening strategic cooperation agreement. The two parties will promote the application of localized high-performance computing systems in the meteorological field and artificial intelligence technology in weather forecast services. The application of key meteorological information infrastructure, the meteorological industry's deepening of information technology application innovation work, and the application of meteorological services in Huawei terminals.
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