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《Advance in Earth Sciences》 2005-08
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SATELLITE REMOTE SENSING FOR OCEANIC PRIMARY PRODUCTIVITY

TAN Sai-chun~(1, 2), SHI Guang-yu~(1)(1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China)  
Based on the introduction of optical properties and the classification for ocean water, the fundamental principles of satellite measuring oceanic primary productivity (OPP) were illuminated and the processes of atmospheric correction were discussed in detail in this paper; in addition, some extant oceanic primary productivity models were reviewed completely. At present, many scientists are engaged in the research on satellite remote sensing for OPP, and most OPP models are based on chlorophyll. Firstly, these models are discussed by classifying via given some specific examples. These productivity models are often delineated into empirical, semi-analytical, and analytical models; they can also be classified into wavelength-resolved models (WRMs), wavelength-integrated models (WIMs), time-integrated models (TIMs) and depth-integrated models (DIMs) based upon the implicit levels of integration. Meanwhile, some problems relevant to the application of these models have also been discussed.
【Fund】: 国家自然科学基金重大项目“上层海洋—低层大气生物地球化学与物理过程耦合研究”(编号:40490260)资助.
【CateGory Index】: TP79
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