Special Issue "Advances in Retrieval, Operationalization, Monitoring and Application of Sea Surface Temperature"
Deadline for manuscript submissions: 31 August 2020.
National Oceanic and Atmospheric Administration (NOAA)
Center for Satellite Applications and Research (STAR)
Satellite Oceanography & Climatology Division (SOCD)
NCWCP, 5830 University Research Court
College Park, MD 20740-3818 USA
Interests: Satellite infrared radiometry; Radiative transfer modeling in terrestrial infrared; Routine and synergistic study of multiple ocean parameters; Modern visualization with web-GIS applications; Inverse algorithms; Cloud detection
Interests: SST gradients; Ocean front detection; Cloud detection; Level 4 SST analysis; SST image quality
Interests: Remote sensing in IR and microwave channels; SST retrieval algorithms for climate data production; Radiative transfer modeling for land and ocean retrievals; cal/val/QC of radiation measurements; Microwave propagation in navigation and meteorological applications
Sea surface temperature (SST) is a key variable of the Earth system that regulates the interaction between the atmosphere and the ocean through energy and gaseous exchange, thereby influencing weather and climate patterns. Operational global retrieval of reliable SST information is a challenging task, but experts around the world have made significant progress both in terms of the quality of retrievals and the timeliness of production and distribution. Coordinated by the Group for High Resolution Sea Surface Temperature (GHRSST), data format specification and standardization of SST products have reached a high level of maturity that enables the use of these data to proliferate. Retrieval of SST is based on observations from both low-Earth orbit infrared and microwave sensors and geostationary orbit infrared imagers. Also, in situ data from moored and drifting buoys, ship-based measurements, and Argo floats play a critical role in algorithm development and product validation. Many applications with important societal benefits depend on the global and regional mapping of SST, such as weather forecasts, climate variability and change prediction, maritime safety, environmental monitoring, and management of marine ecosystems and fisheries. Changes in SST and its trend also affect immobile corals. These may be subject to mortality when exposed to long-duration temperature changes, leading to long-term consequences for the blue economy. Therefore, a further important requirement is scientific stewardship of SST data, which includes production, validation, archival, and dissemination of these products.
To summarize the progress to date and the remaining challenges in space-based SST retrievals and make the information available to a wide-reaching audience, we are calling for papers on the retrieval, operationalization, monitoring, and application of SST from various sensors. We welcome papers from the global community actively involved in this field as well as from SST users and enthusiasts. The selection of papers for publication will depend on the quality and rigor of research. Potential topics include, but are not limited to:
Algorithms to derive SST information from satellite-based observation
- Inverse algorithms for SST retrieval
- Cloud identification and removal
- Data assimilation (L4)
Information for users about operational production and distribution of SST products
- Data availability resources
- Technological services for data distribution
Monitoring and validation
- Validation approaches
- Monitoring and visualization tools
- Front detection
- Weather and climate studies
- Integrated approaches using SST in conjunction with other information, such as salinity, color, altimetry data, and wind
- Effects on a wide range of ecosystem components, including the effect of thermal stress on coral reefs (bleaching)
- Potential benefits of using SST for the blue economy and biodiversity research
Next-generation platforms and sensors and technology
- Recent or emerging concepts, technologies, and missions
- Gaps in sensor continuity
- Use of Artificial Intelligence (AI)/Machine Learning (ML): potential use and possible pitfalls
Dr. Marouan Bouali
Dr. Korak Saha
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 papers will be 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 2000 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.
- sea surface temperature (SST) retrieval algorithm
- cloud detection
- validation, monitoring and error characterization of SST
- detection of SST fronts
- SST operational production
- temperature anomaly effects on coral bleaching and other biodiversity.