Remote sensing of sea surface salinity: challenges and research directions SCIE SCOPUS

Cited 3 time in WEB OF SCIENCE Cited 6 time in Scopus
Title
Remote sensing of sea surface salinity: challenges and research directions
Author(s)
Kim, Young Jun; Han, Daehyeon; Jang, Eunna; Im, Jungho; Sung, Taejun
KIOST Author(s)
Jang, Eunna(장은나)
Alternative Author(s)
장은나
Publication Year
2023-01
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.
ISSN
1548-1603
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/43896
DOI
10.1080/15481603.2023.2166377
Bibliographic Citation
GIScience and Remote Sensing, v.60, no.1, 2023
Publisher
V.H. Winston and Sons, Inc.
Keywords
Sea surface salinity; salinity; passive microwave; Ocean color; Remote sensing; L-band
Type
Article
Language
English
Document Type
Article
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse