Remote sensing of sea surface salinity: challenges and research directions
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Title
- Remote sensing of sea surface salinity: challenges and research directions
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Author(s)
- Kim, Young Jun; Han, Daehyeon; Jang, Eunna; Im, Jungho; Sung, Taejun
- KIOST Author(s)
- Jang, Eunna(장은나)
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Alternative Author(s)
- 장은나
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Publication Year
- 2023-01
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Abstract
- Salinity is a key parameter that affects the surface, deep circulations, and heat transport of oceans. Sea surface salinity (SSS) represents the salinity at the ocean surface and impacts atmosphere – ocean interactions and vertical ocean circulation. To monitor SSS, three passive microwave radiometers with an L-band (1.4 GHz) have been launched since 2009. The scientific need for SSS retrieval and estimation has grown in recent years; however, the operational retrieval of SSS via satellite remote sensing still faces significant challenges. This study provides a review of satellite-based SSS retrieval methods and guidelines to encourage future research. This paper introduces satellite-derived SSS research trends and summarizes the representative SSS satellite sensors and their retrieval methods. The limitations and challenges of satellite-derived SSS are then discussed. The errors from the retrieval algorithms, discrepancies in the spatio-temporal scales of in situ and remote sensing, and limitations of the satellite-derived SSS are then detailed. Finally, our paper provides suggestions for the future directions of SSS remote sensing in five ways: mitigation of measurement errors, improvement of currently available SSS products, enhancement of the usage of in situ data, reconstruction of three-dimensional salinity information, and synergetic uses of multi-satellite missions.
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ISSN
- 1548-1603
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/43896
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DOI
- 10.1080/15481603.2023.2166377
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Bibliographic Citation
- GIScience and Remote Sensing, v.60, no.1, 2023
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Publisher
- V.H. Winston and Sons, Inc.
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Keywords
- Sea surface salinity; salinity; passive microwave; Ocean color; Remote sensing; L-band
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Type
- Article
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Language
- English
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Document Type
- Article
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