DocumentCode
144115
Title
Evaluation of sea surface salinity observed by Aquarius
Author
Ebuchi, Naoto ; Abe, Hiroto
Author_Institution
Inst. of Low Temp. Sci., Hokkaido Univ., Sapporo, Japan
fYear
2014
fDate
13-18 July 2014
Firstpage
4427
Lastpage
4430
Abstract
Sea surface salinity (SSS) data derived from the Aquarius mission were compared with global observation by Argo floats to evaluate the quality of the SSS and assess the error structure. The Aquarius SSSs agreed well with the Argo near-surface salinity with a root-mean-square (rms) difference of 0.42 psu (version 2.10.1 standard product). The residual of the salinity observation showed a significant correlation with the sea surface temperature (SST) and wind speed. SSS bias caused by inaccurate corrections for the galactic radiation was also discernible. Similar results were obtained for the Aquarius SSSs retrieved by the different algorithms. Aquarius monthly SSS averaged over 1° × 1° was also compared with outputs from a global ocean optimal interpolation system. The rms difference, calculated over 40°S-40°N, was 0.27 psu (version 2.10.1 standard product). The rms difference was reduced to 0.21 psu, which is very close to the goal of the Aquarius mission, for the product retrieved by an alternative algorithm (CAP version 25.1).
Keywords
ocean temperature; salinity (geophysical); wind; Aquarius SSS; Aquarius mission; Aquarius monthly SSS averaged; Argo float global observation; Argo near-surface salinity; CAP version; SSS bias; SSS data; SSS quality evaluation; SST; alternative algorithm; error structure assessment; global ocean optimal interpolation system output; inaccurate galactic radiation correction; root-mean-square difference; salinity observation residual; sea surface salinity evaluation; sea surface temperature; standard product; wind speed; Microwave radiometry; Ocean temperature; Remote sensing; Sea surface salinity; Standards; Wind speed; Aquarius; air-sea interactions; microwave radiometer; sea surface salinity; water cycle;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947473
Filename
6947473
Link To Document