Robotics & Machine Learning Daily News2024,Issue(MAY.21) :73-73.

Study Findings on Machine Learning Reported by Researchers at Fudan University [Machine learning parameterization of the multiscale Kain-Fritsch (MSKF) convect ion scheme and stable simulation coupled in the Weather Research and Forecasting ...]

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :73-73.

Study Findings on Machine Learning Reported by Researchers at Fudan University [Machine learning parameterization of the multiscale Kain-Fritsch (MSKF) convect ion scheme and stable simulation coupled in the Weather Research and Forecasting ...]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, research stated, “Wa rm-sector heavy rainfall along the south China coast poses significant forecasti ng challenges due to its localized nature and prolonged duration. To improve the prediction of such high-impact weather events, high-resolution numerical weathe r prediction (NWP) models are increasingly used to more accurately represent top ographic effects.”

Key words

Fudan University/Shanghai/People’s Rep ublic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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