Studies from National University of Defense Technology Have Provided New Informa tion about Machine Learning (Machine Learning Model To Accurately Estimate the P lanetary Boundary Layer Height of Beijing Urban Area With Era5 Data)

Robotics & Machine Learning Daily News2024，Issue(Mar.19) ：58-59.DOI:10.1016/j.atmosres.2023.106925

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Studies from National University of Defense Technology Have Provided New Informa tion about Machine Learning (Machine Learning Model To Accurately Estimate the P lanetary Boundary Layer Height of Beijing Urban Area With Era5 Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Changsha, People’s R epublic of China, by NewsRx journalists, research stated, “The planetary boundar y layer height (PBLH) is one of the most important parameters in the environment al, weather, and climatic research. Therefore, it is of great significance and a pplication value to accurately estimate the PBLH by using the available conventi onal reanalysis meteorological datasets.”

Key words

Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/National University of Def ense Technology

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出版年

2024

Robotics & Machine Learning Daily News

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