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

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 da...

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Published in:Remote Sensing
Main Authors: Zhu, Yanan, Li, Yuanlong, Wang, Fan, Lv, Mingkun
Format: Report
Language:English
Published: MDPI 2022
Subjects:
Online Access:http://ir.qdio.ac.cn/handle/337002/178136
https://doi.org/10.3390/rs14020409
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spelling ftchinacasciocas:oai:ir.qdio.ac.cn:337002/178136 2023-05-15T18:25:58+02:00 Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007 Zhu, Yanan Li, Yuanlong Wang, Fan Lv, Mingkun 2022 http://ir.qdio.ac.cn/handle/337002/178136 https://doi.org/10.3390/rs14020409 英语 eng MDPI REMOTE SENSING http://ir.qdio.ac.cn/handle/337002/178136 doi:10.3390/rs14020409 mesoscale eddies mesoscale air-sea interaction mesoscale SST anomalies OISST data western boundary current Environmental Sciences & Ecology Geology Remote Sensing Imaging Science & Photographic Technology Environmental Sciences Geosciences Multidisciplinary SATELLITE-OBSERVATIONS SOUTHERN-OCEAN NORTH PACIFIC GULF-STREAM EDDIES KUROSHIO SUBSURFACE HEAT TRANSPORT DEPENDENCE 期刊论文 2022 ftchinacasciocas https://doi.org/10.3390/rs14020409 2022-06-27T05:46:45Z 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 ... Report Southern Ocean Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Southern Ocean Pacific Remote Sensing 14 2 409
institution Open Polar
collection Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR
op_collection_id ftchinacasciocas
language English
topic mesoscale eddies
mesoscale air-sea interaction
mesoscale SST anomalies
OISST data
western boundary current
Environmental Sciences & Ecology
Geology
Remote Sensing
Imaging Science & Photographic Technology
Environmental Sciences
Geosciences
Multidisciplinary
SATELLITE-OBSERVATIONS
SOUTHERN-OCEAN
NORTH PACIFIC
GULF-STREAM
EDDIES
KUROSHIO
SUBSURFACE
HEAT
TRANSPORT
DEPENDENCE
spellingShingle mesoscale eddies
mesoscale air-sea interaction
mesoscale SST anomalies
OISST data
western boundary current
Environmental Sciences & Ecology
Geology
Remote Sensing
Imaging Science & Photographic Technology
Environmental Sciences
Geosciences
Multidisciplinary
SATELLITE-OBSERVATIONS
SOUTHERN-OCEAN
NORTH PACIFIC
GULF-STREAM
EDDIES
KUROSHIO
SUBSURFACE
HEAT
TRANSPORT
DEPENDENCE
Zhu, Yanan
Li, Yuanlong
Wang, Fan
Lv, Mingkun
Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
topic_facet mesoscale eddies
mesoscale air-sea interaction
mesoscale SST anomalies
OISST data
western boundary current
Environmental Sciences & Ecology
Geology
Remote Sensing
Imaging Science & Photographic Technology
Environmental Sciences
Geosciences
Multidisciplinary
SATELLITE-OBSERVATIONS
SOUTHERN-OCEAN
NORTH PACIFIC
GULF-STREAM
EDDIES
KUROSHIO
SUBSURFACE
HEAT
TRANSPORT
DEPENDENCE
description 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 ...
format Report
author Zhu, Yanan
Li, Yuanlong
Wang, Fan
Lv, Mingkun
author_facet Zhu, Yanan
Li, Yuanlong
Wang, Fan
Lv, Mingkun
author_sort Zhu, Yanan
title Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
title_short Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
title_full Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
title_fullStr Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
title_full_unstemmed Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007
title_sort weak mesoscale variability in the optimum interpolation sea surface temperature (oisst)-avhrr-only version 2 data before 2007
publisher MDPI
publishDate 2022
url http://ir.qdio.ac.cn/handle/337002/178136
https://doi.org/10.3390/rs14020409
geographic Southern Ocean
Pacific
geographic_facet Southern Ocean
Pacific
genre Southern Ocean
genre_facet Southern Ocean
op_relation REMOTE SENSING
http://ir.qdio.ac.cn/handle/337002/178136
doi:10.3390/rs14020409
op_doi https://doi.org/10.3390/rs14020409
container_title Remote Sensing
container_volume 14
container_issue 2
container_start_page 409
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