@inproceedings{e85bd4b01c1a43848aedc41643b50645,
title = "A LOOK AT CYGNSS DEPENDENCE ON SEA SURFACE SALINITY AND SEA SURFACE TEMPERATURE",
abstract = "The GNSS reflectometry response to sea surface salinity (SSS) and sea surface temperature (SST) is explored using CyGNSS normalized bistatic radar cross section measurements (NBRCS). SSS data from the NASA's Soil Moisture Active-Passive instrument is used for this analysis, including data from NOAA Optimum SST measurements. This study shows that CyGNSS NBRCS is in fact dependent on the SSS under all wind speed conditions, where CyGNSS NBRCS monotonically increases as the salinity increases. CyGNSS NBRCS dependence on the SST is shown to be weaker, compared to its dependence on the SSS. Impact to NOAA current 25 km wind speed product is also assessed where the wind speed error (i.e. CyGNSS-ECMWF) increases with decreasing salinity, whereas the error varies with increasing SST. These findings warrant the inclusion of both SSS and SST effects into future GNSS based wind retrieval algorithms.",
keywords = "Geophysical measurements, Global Positioning System, Microwave reflectometry, Ocean salinity, Ocean temperature, Radar measurements, Remote sensing, Scattering, Sea surface, Wind",
author = "Faozi Said and Zorana Jelenak and Chang, \{Paul S.\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",
year = "2022",
doi = "10.1109/IGARSS46834.2022.9883368",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6927--6930",
booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
}