Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007

doi:10.3390/rs14020409

CORC > 海洋研究所 > 中国科学院海洋研究所 > 海洋环流与波动重点实验室

	Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
	Zhu, Yanan 2,3; Li, Yuanlong 1,2,3; Wang, Fan 2,3; Lv, Mingkun 2,3
刊名	REMOTE SENSING
	2022
卷号	14 期号:2 页码:17
关键词	mesoscale eddies mesoscale air-sea interaction mesoscale SST anomalies OISST data western boundary current
DOI	10.3390/rs14020409
通讯作者	Wang, Fan(fwang@qdio.ac.cn)
英文摘要	Mesoscale sea surface temperature (SST) variability triggers mesoscale air-sea interactions and is linked to ocean subsurface mesoscale dynamics. The National Oceanic and Atmospheric Administration (NOAA) daily Optimum Interpolation SST (OISST) products, based on various satellite and in situ SST data, are widely utilized in the investigation of multi-scale SST variabilities and reconstruction of subsurface and deep-ocean fields. The quality of OISST datasets is subjected to temporal inhomogeneity due to alterations in the merged data. Yet, whether this issue can significantly affect mesoscale SST variability is unknown. The analysis of this study detects an abrupt enhancement of mesoscale SST variability after 2007 in the OISST-AVHRR-only version 2 and version 2.1 datasets (hereafter OI.v2-AVHRR-only and OI.v2.1-AVHRR-only). The contrast is most stark in the subtropical western boundary current (WBC) regions, where the average mesoscale SST variance during 2007-2018 is twofold larger than that during 1993-2006. Further comparisons with other satellite SST datasets (TMI, AMSR-E, and WindSAT) suggest that the OISST-AVHRR-only datasets have severely underestimated mesoscale SST variability before 2007. An evaluation of related documents of the OISST data indicates that this bias is mainly caused by the change of satellite AVHRR instrument in 2007. There are no corresponding changes detected in the associated fields, such as the number and activity of mesoscale eddies or the background SST gradient in these regions, confirming that the underestimation of mesoscale SST variability before 2007 is an artifact. Another OISST product, OI.v2-AVHRR-AMSR, shows a similar abrupt enhancement of mesoscale SST variability in June 2002, when the AMSR-E instrument was incorporated. This issue leaves potential influences on scientific research that utilize the OISST datasets. The composite SST anomalies of mesoscale eddies based on the OI.v2-AVHRR-only data are underestimated by up to 37% before 2007 in the subtropical WBC regions. The underestimation of mesoscale variability also affects the total (full-scale) SST variability, particularly in winter. Other SST data products based on the OISST datasets were also influenced; we identify suspicious changes in J-OFURO3 and CFSR datasets; the reconstructed three-dimensional ocean products using OISST data as input may also be inevitably affected. This study reminds caution in the usage of the OISST and relevant data products in the investigation of mesoscale processes.
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000757408000001
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/178137]
专题	海洋研究所_海洋环流与波动重点实验室
通讯作者	Wang, Fan
作者单位	1.Chinese Acad Sci, Inst Earth Environm, CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China 2.Pilot Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Yanan,Li, Yuanlong,Wang, Fan,et al. Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007[J]. REMOTE SENSING,2022,14(2):17.
APA	Zhu, Yanan,Li, Yuanlong,Wang, Fan,&Lv, Mingkun.(2022).Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007.REMOTE SENSING,14(2),17.
MLA	Zhu, Yanan,et al."Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007".REMOTE SENSING 14.2(2022):17.