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Effects of ultraviolet radiation on marine primary production with reference to satellite remote sensing 被引量:2
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作者 Teng LI Yan BAI +4 位作者 Gang LI Xianqiang HE Chen-Tung Arthur CHEN Kunshan GAO Dong LIU 《Frontiers of Earth Science》 SCIE CAS CSCD 2015年第2期237-247,共11页
Incubation experiments have shown that ultra- violet radiation (UVR) has significant influences on marine primary production (MPP). However, existing satellite remote sensing models of MPP only consider the effect... Incubation experiments have shown that ultra- violet radiation (UVR) has significant influences on marine primary production (MPP). However, existing satellite remote sensing models of MPP only consider the effects of visible light radiation, ignoring the UVR. Additionally, the ocean color satellite data currently used for MPP estimation contain no UV bands. To better understand the mechanism of MPP model development with reference to satellite remote sensing, including UVR's effects, we first reviewed recent studies of UVR's effects on phytoplankton and MPP, which highlights the need for improved satellite remote sensing of MPP. Then, based on current MPP models using visible radiation, we discussed the quantitative methods used to implement three key model variables related to UVR: the UVR intensity at the sea surface, the attenuation of UVR in the euphotic layer, and the maximum or optimal photosynthetic rate, con- sidering the effects of UVR. The implementation of these UVR-related variables could be useful in further assessing UVR's effects on the remote sensing of MPP, and in re- evaluating our existing knowledge of MPP estimation at large spatial scales and long-time scales related to global change. 展开更多
关键词 photosynthetically active radiation ULTRAVIOLETRADIATION marine primary production satellite remotesensing radiative transfer model
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An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations 被引量:13
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作者 Dongxu Yang Yi Liu +3 位作者 Zhaonan Cai Jianbo Deng Jing Wang Xi Chen 《Science Bulletin》 SCIE EI CAS CSCD 2015年第23期2063-2066,共4页
An advanced carbon dioxide retrieval algo- rithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Obser... An advanced carbon dioxide retrieval algo- rithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Observing SATellite (GOSAT) LIB data and validated using the Total Column Carbon Observing Network (TCCON) measurements. The retrieved XCO2 agrees well with TCCON measurements in a low bias of 0.15 ppmv and RMSE of 1.48 ppmv, and captured the seasonal vari- ation and increasing of XCO2 in Northern and Southern Hemisphere, respectively, as other measurements. 展开更多
关键词 Retrieval algorithm · satellite remotesensing· Carbon dioxide ·Carbon flux · GOSAT
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