An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean

doi:10.3390/jmse12040620

IOCAS-IR > 海洋环流与波动重点实验室

	An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean
	Zhang, Yuyuan 1,2; Liu, Yahao 2,3,4; Kong, Yuan 1; Hu, Po2,3,4
	2024-04-01
发表期刊	JOURNAL OF MARINE SCIENCE AND ENGINEERING
卷号	12 期号:4 页码:13
通讯作者	Liu, Yahao(yhliu@qdio.ac.cn) ; Hu, Po(hupo@qdio.ac.cn)
摘要	In the era of marine big data, making full use of multi-source satellite observations to accurately retrieve and predict the temperature structure of the ocean subsurface layer is very significant in advancing the understanding of oceanic processes and their dynamics. Considering the time dependence and spatial correlation of marine characteristics, this study employed the convolutional long short-term memory (ConvLSTM) method to retrieve the subsurface temperature in the Western Pacific Ocean from several types of satellite observations. Furthermore, considering the temperature's vertical distribution, the retrieved results for the upper layer were iteratively used in the calculation for the deeper layer as input data to improve the algorithm. The results show that the retrieved results for the 100 to 500 m depth temperature using the 50 m layer in the calculation resulted in higher accuracy than those retrieved from the standard ConvLSTM method. The largest improvement was in the calculation for the 100 m layer, where the thermocline was located. The results indicate that our improved ConvLSTM method can increase the accuracy of subsurface temperature retrieval without additional input data.
关键词	deep learning iterative optimization remote sensing data convolutional long short-term memory (ConvLSTM) marine temperature Western Pacific
DOI	10.3390/jmse12040620
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Ocean ; Oceanography
WOS记录号	WOS:001210045900001
出版者	MDPI
WOS关键词	WARMING HIATUS ; EL-NINO ; SLOWDOWN
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/185596
专题	海洋环流与波动重点实验室
通讯作者	Liu, Yahao; Hu, Po
作者单位	1.Shandong Univ Sci & Technol, Coll Math & Syst Sci, 579 Qianwangang Rd, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, 7 Nanhai Rd, Qingdao 266071, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Ocean Dynam & Climate, 1 Wenhai Rd, Qingdao 266237, Peoples R China 4.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
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	Zhang, Yuyuan,Liu, Yahao,Kong, Yuan,et al. An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2024,12(4):13.
APA	Zhang, Yuyuan,Liu, Yahao,Kong, Yuan,&Hu, Po.(2024).An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean.JOURNAL OF MARINE SCIENCE AND ENGINEERING,12(4),13.
MLA	Zhang, Yuyuan,et al."An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean".JOURNAL OF MARINE SCIENCE AND ENGINEERING 12.4(2024):13.