Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean

doi:10.1088/2515-7620/acf9e1

IOCAS-IR > 海洋环流与波动重点实验室

	Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean
	Qi, Jifeng 1,2; Qu, Tangdong 3; Yin, Baoshu 1,2
	2023-09-01
发表期刊	ENVIRONMENTAL RESEARCH COMMUNICATIONS
ISSN	2515-7620
卷号	5 期号:9 页码:8
通讯作者	Qi, Jifeng([email protected])
摘要	Accurately estimating the barrier layer thickness (BLT) is crucial for enhancing our understanding of the ocean's role in climate variability on both regional and global scales. Here, we propose a meta-learning-based ensemble model to estimate the BLT using satellite observations in the tropical Indian Ocean. The results show that the meta-learning-based ensemble model outperforms the three individual models in terms of spatial distribution and accuracy, with significantly reduced root mean square errors in the Southeast Arabian Sea, Bay of Bengal, and eastern equatorial Indian Ocean. Furthermore, we found that sea surface salinity plays the most significant role in the estimation of BLT, highlighting the dominant influence of salinity stratification. These preliminary results provide an insight into the feasibility of predicting the BLT using satellite observations and have implications for studying the upper ocean dynamics using machine learning techniques.
关键词	Ocean barrier layer thickness Indian Ocean meta-learning machine learning
DOI	10.1088/2515-7620/acf9e1
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2022YFF0801400]; National Natural Science Foundation of China[42176010]; Natural Science Foundation of Shandong Province, China[ZR2021MD022]
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001070046500001
出版者	IOP Publishing Ltd
WOS关键词	SEA-SURFACE SALINITY ; INTERANNUAL VARIABILITY ; EQUATORIAL PACIFIC ; MIXED-LAYER ; AQUARIUS ; BAY
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/181759
专题	海洋环流与波动重点实验室
通讯作者	Qi, Jifeng
作者单位	1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Qi, Jifeng,Qu, Tangdong,Yin, Baoshu. Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean[J]. ENVIRONMENTAL RESEARCH COMMUNICATIONS,2023,5(9):8.
APA	Qi, Jifeng,Qu, Tangdong,&Yin, Baoshu.(2023).Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean.ENVIRONMENTAL RESEARCH COMMUNICATIONS,5(9),8.
MLA	Qi, Jifeng,et al."Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean".ENVIRONMENTAL RESEARCH COMMUNICATIONS 5.9(2023):8.