naa a22 4500 510754686 CHVBK 20180411083118.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s13131-013-0272-x doi (NATIONALLICENCE)springer-10.1007/s13131-013-0272-x The satellite reversion of dissolved organic carbon (DOC) based on the analysis of the mixing behavior of DOC and colored dissolved organic matter: the East China Sea as an example [Elektronische Daten] [Qiong Liu, Delu Pan, Yan Bai, Kai Wu, Chen-Tung Chen, Jun Sun, Lin Zhang] The retrieval of dissolved organic carbon (DOC) distribution by remote sensing is mainly based on the empirical relationship of DOC concentration and colored dissolved organic matter (CDOM) concentration in many literatures. To investigate the nature of this relationship, the distributions and mixing behaviors of DOC and CDOM are reviewed in the world's major estuaries and bays. It is found that, generally, the CDOM concentration is well correlated with the salinity in most estuaries, while DOC usually shows a nonconservative behavior which leads to a weak correlation between the DOC concentration and the CDOM concentration. To establish a good satellite reversion of the DOC concentration, the East China Sea(ECS) was taken as an example, and the mixing behavior of DOC and CDOM as well as the influence of biogeochemical processes were analyzed except for the physical mixing process with the data from late autumn (November, 2010) and winter (December, 2009) cruises. In the two ECS cruises, the CDOM concentration was found to be tightly correlated with the salinity, influenced little by the photochemical or biological processes. The data from the winter cruise show that DOC followed a conservative mixing along the salinity gradient, while in the late autumn cruise it was significantly affected by the biological activities, resulting in a poor correlation between the DOC and the CDOM. Accordingly, an improvedDOC algorithm(CSDM) was proposed: when the biological influence was significant (Chl a greater than 0.8 µg/dm3), DOC was retrieved by the conservative and biologicalmodel, and if the conservativemixing was dominant (Chl a less than 0.8 µg/dm3), the direct DOC concentration and CDOM concentration relationship was used. Based on the proposed algorithm, a reasonable DOC distribution for the ECS from satellite was obtained in this study, and the proposedmethod can be applied to the other large river-dominantmarginal sea. The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg, 2013 dissolved organic carbon nationallicence colored dissolved organicmatter nationallicence estuary nationallicence East China Sea nationallicence satellite reversion nationallicence Liu Qiong State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, Wuhan, China aut Pan Delu State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut Bai Yan State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut Wu Kai State Key Laboratory of Marine Environmental Science, College of Oceanography and Environmental Science, Xiamen University, 361005, Xiamen, China aut Chen Chen-Tung Institute of Marine Geology and Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan, China aut Sun Jun College of Marine Science and Engineering, Tianjin University of Science and Technology, 300457, Tianjin, China aut Zhang Lin State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut Acta Oceanologica Sinica The Chinese Society of Oceanography 32/2(2013-02-01), 1-11 0253-505X 32:2<1 2013 32 13131 https://doi.org/10.1007/s13131-013-0272-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13131-013-0272-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Qiong State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, Wuhan, China aut NATIONALLICENCE 700 1- Pan Delu State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut NATIONALLICENCE 700 1- Bai Yan State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut NATIONALLICENCE 700 1- Wu Kai State Key Laboratory of Marine Environmental Science, College of Oceanography and Environmental Science, Xiamen University, 361005, Xiamen, China aut NATIONALLICENCE 700 1- Chen Chen-Tung Institute of Marine Geology and Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan, China aut NATIONALLICENCE 700 1- Sun Jun College of Marine Science and Engineering, Tianjin University of Science and Technology, 300457, Tianjin, China aut NATIONALLICENCE 700 1- Zhang Lin State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, 310012, Hangzhou, China aut NATIONALLICENCE 773 0- Acta Oceanologica Sinica The Chinese Society of Oceanography 32/2(2013-02-01), 1-11 0253-505X 32:2<1 2013 32 13131 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer