Robotics & Machine Learning Daily News2024,Issue(Sep.4) :71-72.

Study Data from Chinese Academy of Sciences Update Knowledge of Machine Learning (An Optimal Weighted Ensemble Machine Learning Approach To Accurate Estimate th e Coastal Boundary Layer Height Using Era5 Multi-variables)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :71-72.

Study Data from Chinese Academy of Sciences Update Knowledge of Machine Learning (An Optimal Weighted Ensemble Machine Learning Approach To Accurate Estimate th e Coastal Boundary Layer Height Using Era5 Multi-variables)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated,“The coast al boundary layer height (CBLH/Coastal-BLH) is critical in determining the excha nge of heat,momentum, and materials between the land and ocean, thereby regulat ing the local climate and weatherchange. However, due to the complexity of geog raphical characteristics and meteorological conditions,accurate estimation of t he CBLH remains challenging.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
浏览量1
段落导航相关论文