Paper Info
Title
Can the Accuracy of Sea Surface Salinity Measurement be Improved by Incorporating Spaceborne GNSS-Reflectometry?
Abstract
Sea surface salinity (SSS) can be measured by L-band (1.4 GHz) radiometry. However, the L-band brightness temperature is sensitive to ocean surface roughness, so that the precise knowledge of sea state can help to improve the accuracy of SSS retrievals. Cyclone Global Navigation Satellite System (CyGNSS) mission measures tropical ocean wind speeds, which can provide further knowledge about sea state. This letter, by investigating the sensitivity of brightness temperature derived from two L-band radiometry satellite missions [i.e., Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP)] to CyGNSS data, first explores the potential of using spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) to improve the accuracy of SSS measurements. The statistical results from two-year CyGNSS data show that the systematic uncertainties of the brightness temperature up to 0.5 K in the SMOS/SMAP can be minimized at low wind speed, which proves the concept that CyGNSS wind speed data can be used to improve the accuracy of SSS retrievals across the oceans. The findings strongly suggest that the spaceborne GNSS-R instruments could be utilized as cost-effective hosted payloads in designing future ocean remote sensing missions.
Year
DOI
Venue
2021
10.1109/LGRS.2020.2967472
IEEE Geoscience and Remote Sensing Letters
Keywords
DocType
Volume
Bistatic radar,cyclone global navigation satellite system (CyGNSS),global navigation satellite systemreflectometry (GNSS-R),microwave radiometry,ocean salinity,soil moisture active passive (SMAP),soil moisture and ocean salinity (SMOS)
Journal
18
Issue
ISSN
Citations 
1
1545-598X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Baojian Liu115.10
Wei Wan267.58
Yang Hong373.20