数据说明
China sea CO2-Aquatic pCO2
上传时间：2019-05-23 08:54:33 浏览次数：作者与来源：admin
It is the product of the aquatic partial pressure of carbon dioxide (pCO2) retrieved by Aqua/MODIS.
Unit: µatm
Resolution: 1.6km
Duration: 2003-2018
Source: The monthly remote sensing reflectance, chlorophyll and sea surface temperature data retrieved by Aqua/MODIS were from NASA.
Version: 2018
Dataset Name: SIO_AQUA_MODIS_EAMS
Product Name:SIO_AQUA_MODIS_yyyy-MM-dd-HH-mm-ss_L3B_EAMS_1KM_WCP_HE2018
Processing:
Based on the retrieved salinity, chlorophyll and sea surface temperature, the aquatic pCO2 was retrieved by mechanistic semi-analytical method, which was developed by Bai et al. (2015). Specifically, observed pCO2 can be analytically expressed as the sum of individual components controlled by major factors such as thermodynamics (or temperature), mixing, and biology. With marine carbonate system calculations, temperature and mixing effects can be predicted using thermodynamic principles and by assuming conservative two end member mixing of total dissolved inorganic carbon and total alkalinity (e.g., the Changjiang River and Kuroshio water in the East China Sea, ECS). Next, an integral expression for pCO2 drawdown due to biological effects can be parameterized using the chlorophyll a concentration (chla).
This algorithm has been successfully applied to the East China Sea and Bering Sea (Bai et al., 2015; Song et al., 2016).
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. Moreover, the coefficient of the biologic effect also vary with regions, here we have used the fix coefficient derived in the East China Sea.
Reference
Yan Bai, 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. DOI: 10.1029/2012JC008467
Xuelian Song, Yan Bai*, Wei-Jun Cai, Chen-Tung Arthur Chen, Delu Pan, Xianqiang He, Qiankun Zhu. Remote Sensing of Sea Surface pCO2 in the Bering Sea in Summer Based on a Mechanistic Semi-Analytical Algorithm (MeSAA). Remote Sens. 2016, 8, 558. DOI:10.3390/rs8070558
Chengfeng Le, Yiyang Gao, Wei-Jun Cai, John C. Lehrter, Yan Bai, Zong-Pei Jiang, 2019. Estimating summer sea surface pCO2 on a river-dominated continental shelf using a satellite-based semi-mechanistic model. Remote Sensing of Environment, 225, 115-126
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.
Unit: µatm
Resolution: 1.6km
Duration: 2003-2018
Source: The monthly remote sensing reflectance, chlorophyll and sea surface temperature data retrieved by Aqua/MODIS were from NASA.
Version: 2018
Dataset Name: SIO_AQUA_MODIS_EAMS
Product Name:SIO_AQUA_MODIS_yyyy-MM-dd-HH-mm-ss_L3B_EAMS_1KM_WCP_HE2018
Processing:
Based on the retrieved salinity, chlorophyll and sea surface temperature, the aquatic pCO2 was retrieved by mechanistic semi-analytical method, which was developed by Bai et al. (2015). Specifically, observed pCO2 can be analytically expressed as the sum of individual components controlled by major factors such as thermodynamics (or temperature), mixing, and biology. With marine carbonate system calculations, temperature and mixing effects can be predicted using thermodynamic principles and by assuming conservative two end member mixing of total dissolved inorganic carbon and total alkalinity (e.g., the Changjiang River and Kuroshio water in the East China Sea, ECS). Next, an integral expression for pCO2 drawdown due to biological effects can be parameterized using the chlorophyll a concentration (chla).
This algorithm has been successfully applied to the East China Sea and Bering Sea (Bai et al., 2015; Song et al., 2016).
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. Moreover, the coefficient of the biologic effect also vary with regions, here we have used the fix coefficient derived in the East China Sea.
Reference
Yan Bai, 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. DOI: 10.1029/2012JC008467
Xuelian Song, Yan Bai*, Wei-Jun Cai, Chen-Tung Arthur Chen, Delu Pan, Xianqiang He, Qiankun Zhu. Remote Sensing of Sea Surface pCO2 in the Bering Sea in Summer Based on a Mechanistic Semi-Analytical Algorithm (MeSAA). Remote Sens. 2016, 8, 558. DOI:10.3390/rs8070558
Chengfeng Le, Yiyang Gao, Wei-Jun Cai, John C. Lehrter, Yan Bai, Zong-Pei Jiang, 2019. Estimating summer sea surface pCO2 on a river-dominated continental shelf using a satellite-based semi-mechanistic model. Remote Sensing of Environment, 225, 115-126
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.
