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Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature III

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 2523

Special Issue Editors

Dr. Jorge Vazquez

E-Mail Website
Guest Editor
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Interests: applying high resolution remote sensing data to coastal studies; validation of satellite derived sea surface temperature data sets; development and analysis of climate data records statistical modelin
Special Issues, Collections and Topics in MDPI journals
Eileen Maturi

E-Mail Website
Co-Guest Editor
NOAA/NESDIS/STAR Center for Satellite Applications and Research, 5830 University Research Court, College Park, MD 20740, USA
Interests: remote sensing; sea surface temperature
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The sea surface temperature (SST) products derived from satellites are under constant improvement.

This leads to advances in their use for research and applications. Many products are available operationally in near real time, allowing for the monitoring of marine heat waves and impacting biodiversity and integration into numerical modeling. Improvements in cloud masking and resolution have led to further advances in applications to coastal regions.

We are seeking manuscripts that focus on how advances in retrieval algorithms have increased the use of SST products. Specific examples include advances in retrieval algorithms that have enhanced the operationalization of the products and their use for monitoring the world’s oceans. We are particularly interests in manuscripts that detail the advances in SST products and outline their relationship to application/monitoring/operationlization.

Dr. Jorge Vazquez
Eileen Maturi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sea surface temperature (SST) retrieval algorithm
  • SST operational production
  • Marine heat waves monitoring
  • temperature anomaly effects on marine biodiversity
  • cloud detection
  • validation, monitoring and error characterization of SST

Related Special Issues

Published Papers (4 papers)

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Research

17 pages, 5239 KiB  
Article
Characterizing the California Current System through Sea Surface Temperature and Salinity
by Marisol García-Reyes, Gammon Koval and Jorge Vazquez-Cuervo
Remote Sens. 2024, 16(8), 1311; https://doi.org/10.3390/rs16081311 - 09 Apr 2024
Viewed by 437
Abstract
Characterizing temperature and salinity (T-S) conditions is a standard framework in oceanography to identify and describe deep water masses and their dynamics. At the surface, this practice is hindered by multiple air–sea–land processes impacting T-S properties at shorter time scales than can easily [...] Read more.
Characterizing temperature and salinity (T-S) conditions is a standard framework in oceanography to identify and describe deep water masses and their dynamics. At the surface, this practice is hindered by multiple air–sea–land processes impacting T-S properties at shorter time scales than can easily be monitored. Now, however, the unsurpassed spatial and temporal coverage and resolution achieved with satellite sea surface temperature (SST) and salinity (SSS) allow us to use these variables to investigate the variability of surface processes at climate-relevant scales. In this work, we use SSS and SST data, aggregated into domains using a cluster algorithm over a T-S diagram, to describe the surface characteristics of the California Current System (CCS), validating them with in situ data from uncrewed Saildrone vessels. Despite biases and uncertainties in SSS and SST values in highly dynamic coastal areas, this T-S framework has proven useful in describing CCS regional surface properties and their variability in the past and in real time, at novel scales. This analysis also shows the capacity of remote sensing data for investigating variability in land–air–sea interactions not previously possible due to limited in situ data. Full article
(This article belongs to the Special Issue Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature III)
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18 pages, 7549 KiB  
Article
Historical Marine Cold Spells in the South China Sea: Characteristics and Trends
by Chunhui Li, Wenjin Sun, Jinlin Ji and Yuxin Zhu
Remote Sens. 2024, 16(7), 1171; https://doi.org/10.3390/rs16071171 - 27 Mar 2024
Viewed by 405
Abstract
Marine cold spells (MCSs) are extreme ocean temperature events impacting marine organisms, yet their characteristics and trends in the South China Sea (SCS) historical period remain unclear. This study systematically analyzes sea surface temperature (SST) and MCSs in the SCS using satellite observation [...] Read more.
Marine cold spells (MCSs) are extreme ocean temperature events impacting marine organisms, yet their characteristics and trends in the South China Sea (SCS) historical period remain unclear. This study systematically analyzes sea surface temperature (SST) and MCSs in the SCS using satellite observation data (OISSTv2.1) from 1982 to 2022. The climatological mean SST ranges from 22 °C near the Taiwan Strait to 29 °C near the Nansha Islands, showing notable variations. Annual SST anomalies demonstrate a heterogeneous spatial trend of approximately 0.21 ± 0.16 °C/decade (p < 0.01) across the SCS, indicating an increase in SST over time. MCS analysis uncovers spatial non-uniformity in frequency, with higher values near the Beibu Gulf and Hainan Island, and longer durations in the northeastern coastal areas. Statistical analysis indicates normal distributions for frequency and duration trends but skewness for intensity and cumulative intensity, reflecting extreme values. Winter months exhibit larger MCS occurrence areas and higher mean intensities, illustrating seasonal variability. Anticipated changes will significantly impact the ecological structure and functioning of the SCS. Full article
(This article belongs to the Special Issue Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature III)
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17 pages, 4560 KiB  
Article
Monitoring Thermal Exchange of Hot Water Mass via Underwater Acoustic Tomography with Inversion and Optimization Method
by Shijie Xu, Fengyuan Yu, Xiaofei Zhang, Yiwen Diao, Guangming Li and Haocai Huang
Remote Sens. 2024, 16(6), 1105; https://doi.org/10.3390/rs16061105 - 21 Mar 2024
Viewed by 452
Abstract
Thermal exchange of underwater water mass caused by marine heat wave is a hot point of research recently. In particular, because the water temperature observation along hot water mass transportation is hard work. Acoustic tomography is an advanced method to measure water temperature [...] Read more.
Thermal exchange of underwater water mass caused by marine heat wave is a hot point of research recently. In particular, because the water temperature observation along hot water mass transportation is hard work. Acoustic tomography is an advanced method to measure water temperature variations via sound signal transmission with multi-station network sensing. The 5 kHz frequency acoustic tomography used for observing water temperature variations caused by ocean heat waves is interesting work. In this paper, the numerical simulation of hot water mass is completed first, then floatation and diffusion of hot water mass in a simulation are monitored by acoustic tomography. A new inversion optimization method is proposed to obtain hot water mass transportation variations at two-dimensional temperature vertical profile. The proposed inversion method adds a regularized mode matrix and the optimization method adds the model correlation matrix to improve the results quality. The accuracy of inversion optimization results is compared and discussed, where the mean temperature error is less than 0.4 °C. Sensing water temperature variation of marine heat waves is verified via acoustic signal transmission and improved inversion optimization method. The water dynamical process observation is an application of acoustic tomography, which can be further used observe underwater environmental characteristics. Full article
(This article belongs to the Special Issue Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature III)
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14 pages, 7499 KiB  
Article
An Extreme Marine Heatwave Event in the Yellow Sea during Winter 2019/20: Causes and Consequences
by Haiqing Yu, Jie Ma, Hui Wang, Qinwang Xing and Lin Jiang
Remote Sens. 2024, 16(1), 33; https://doi.org/10.3390/rs16010033 (registering DOI) - 21 Dec 2023
Cited by 1 | Viewed by 743
Abstract
Increasing evidence has shown that marine heatwaves (MHWs) have destructive impacts on marine ecosystems, and understanding the causes of these events is beneficial for mitigating the associated adverse effects on the provision of ecosystem services. During the 2019/20 boreal winter, a long-lasting extreme [...] Read more.
Increasing evidence has shown that marine heatwaves (MHWs) have destructive impacts on marine ecosystems, and understanding the causes of these events is beneficial for mitigating the associated adverse effects on the provision of ecosystem services. During the 2019/20 boreal winter, a long-lasting extreme MHW event was recorded (over 90 days) in the Yellow Sea (YS). Observations and numerical experiments revealed that the unprecedented winter MHW event was initiated and sustained by a significant decrease in ocean heat loss in the YS, which may be associated with the pronounced weakening of the Siberian high system induced by an extreme positive Arctic Oscillation (AO) event. A weakened northerly wind is the essential prerequisite, while the extreme AO event is only a trigger for the winter MHW in the YS. It was also found that the extreme winter MHW event is likely to substantially affect the seasonal evolution of the vertical thermal structure, which may have a great impact on the whole ecosystem in the YS. This study provides new insights for the prediction of winter MHWs in the YS, as well as their effects on marine ecosystems in a changing climate. Full article
(This article belongs to the Special Issue Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature III)
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