数据说明
Special dataset for global ocean-Sea Surface Salinity (SSS)
上传时间:2019-05-23 00:15:18 浏览次数:作者与来源:admin
1. SeaWIFS
It is the product of the surface layer salinity retrieved by SeaWiFS.
Unit: psu
Resolution:  9km
Duration: 1997-2010
Source: The original data of the monthly remote sensing reflectance retrieved by SeaWiFS were provided by NASA.
Version: 2018
Dataset Name: 
Processing:
Based on the spectral remote sensing reflectance, the total absorption coefficient of the CDOM and detritus, and the particular backscattering coefficient were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of CDOM developed by Bai et al. (2008; 2013) was adopted to derive the absorption coefficients of the CDOM and detritus separately from the total absorption coefficient.
Based on the retrieved absorption coefficients of the CDOM, the salinity was estimated by the empirical model in the East China Sea as SSS=35.595-14.151*aCDOM(355nm) (Bai et al., 2013).
Known Issues:
The relationship between the salinity and absorption coefficients of the CDOM was developed for the East China Sea, which might not suitable for other region.
Reference
Bai Yan*, Pan Delu, He Xianqiang, Gong Fang. The quasi-analytic remote sensing algorithm of CDOM in the China Yellow Sea and East Sea. Proc. SPIE, 7147, 714718, DOI: 10.1117/12.813245, 2008.
Bai, Yan,Delu Pan,Wei-Jun Cai,Xianqiang He,Difeng Wang,Bangyi Tao,Qiankun Zhu,Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea,Journal of Geophysical Research,2013,118, 227-243.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.

2. MODIS/Aqua
It is the product of the surface layer salinity retrieved by MODIS/Aqua.
Unit: psu
Resolution:  9km
Duration: 2002-2018
Source: The original data of the monthly remote sensing reflectance retrieved by MODIS/Aqua were provided by NASA.
Version: 2018
Dataset Name: 
Processing:
Based on the spectral remote sensing reflectance, the total absorption coefficient of the CDOM and detritus, and the particular backscattering coefficient were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of CDOM developed by Bai et al. (2008; 2013) was adopted to derive the absorption coefficients of the CDOM and detritus separately from the total absorption coefficient.
Based on the retrieved absorption coefficients of the CDOM, the salinity was estimated by the empirical model in the East China Sea as SSS=35.595-14.151*aCDOM(355nm) (Bai et al., 2013).
Known Issues:
The relationship between the salinity and absorption coefficients of the CDOM was developed for the East China Sea, which might not suitable for other region.
Reference
Bai Yan*, Pan Delu, He Xianqiang, Gong Fang. The quasi-analytic remote sensing algorithm of CDOM in the China Yellow Sea and East Sea. Proc. SPIE, 7147, 714718, DOI: 10.1117/12.813245, 2008.
Bai, Yan,Delu Pan,Wei-Jun Cai,Xianqiang He,Difeng Wang,Bangyi Tao,Qiankun Zhu,Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea,Journal of Geophysical Research,2013,118, 227-243.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.

3. VIIRS
It is the product of the surface layer salinity retrieved by VIIRS/SNPP.
Unit: psu
Resolution:  9km
Duration: 2012-2018
Source: The original data of the monthly remote sensing reflectance retrieved by VIIRS/SNPP were provided by NASA.
Version: 2018
Dataset Name: 
Processing:
Based on the spectral remote sensing reflectance, the total absorption coefficient of the CDOM and detritus, and the particular backscattering coefficient were retrieved using the semi-analytic algorithm developed by Carder et al. (1998). Then, the semi-analytic remote sensing algorithm of CDOM developed by Bai et al. (2008; 2013) was adopted to derive the absorption coefficients of the CDOM and detritus separately from the total absorption coefficient.
Based on the retrieved absorption coefficients of the CDOM, the salinity was estimated by the empirical model in the East China Sea as SSS=35.595-14.151*aCDOM(355nm) (Bai et al., 2013).
Known Issues:
The relationship between the salinity and absorption coefficients of the CDOM was developed for the East China Sea, which might not suitable for other region.
Reference
Bai Yan*, Pan Delu, He Xianqiang, Gong Fang. The quasi-analytic remote sensing algorithm of CDOM in the China Yellow Sea and East Sea. Proc. SPIE, 7147, 714718, DOI: 10.1117/12.813245, 2008.
Bai, Yan,Delu Pan,Wei-Jun Cai,Xianqiang He,Difeng Wang,Bangyi Tao,Qiankun Zhu,Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea,Journal of Geophysical Research,2013,118, 227-243.
Acknowledgment
Please cite the above references if this dataset are used. Moreover, the satellite ground station and the satellite data processing & sharing center of the SOED/SIO should be acknowledged.