Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Researc hers Add New Data to Research in Machine Learning (Modeling the Influence of Pre cipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learnin g ...)

南方海洋科学与工程广东实验室(广州)的研究为机器学习的研究增加了新的数据(通过机器学习模拟降水对海面L波段SMAP观测的影响)

Robotics & Machine Learning Daily News2024，Issue(Jun.18) ：6-7.

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Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Researc hers Add New Data to Research in Machine Learning (Modeling the Influence of Pre cipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learnin g ...)

南方海洋科学与工程广东实验室(广州)的研究为机器学习的研究增加了新的数据(通过机器学习模拟降水对海面L波段SMAP观测的影响)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇新报道的主题。根据NewsRx编辑在广州的新闻报道，研究表明：“为了描述降水对L波段被动海面测量的影响，开发了一个新的前向模型(FM)。通过机器学习方法建立了将降雨引起的Brightne SS温度(TB)变化与降雨速率和风速(WS)联系起来的FM(简称ML-FM)。”国家自然科学基金、浙江省自然科学基金、浙江省先锋科研项目等为本研究提供资金支持。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Guangzhou, People's Republic of China, by NewsRx editors, research stated, "A new forward m odel (FM) was developed to characterize the influence of precipitation on L-band passive ocean surface measurements. The FM, which relates rain-induced brightne ss temperature (TB) variations to the rain rate and wind speed (WS), was establi shed through a machine learning approach (referred to as the ML-FM)." Financial supporters for this research include National Natural Science Foundati on of China; Zhejiang Provincial Natural Science Foundation of China; Pioneer R& amp,D Program of Zhejiang.

Key words

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)/Guangzhou/People's Republic of China/Asia/C yborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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