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An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products

本站小编 Free考研考试/2022-02-11

An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites
Chen, Jun; He, Xianqiang; Xing, Xiaogang; Xing, Qianguo; Liu, Zhongli; Pan, Delu
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN2169-9275
2020-01
卷号125期号:1页码:e2019JC015811
关键词PARTICULATE ORGANIC-CARBONWATER-LEAVING RADIANCECROSS-CALIBRATIONTIME-SERIESIN-SITUEQUATORIAL PACIFICCHLOROPHYLLSEAWIFSMODISRETRIEVAL
研究领域Oceanography
DOI10.1029/2019JC015811
产权排序[Chen, Jun; Liu, Zhongli] Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China; [Chen, Jun; He, Xianqiang; Xing, Xiaogang; Pan, Delu] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China; [Xing, Qianguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
通讯作者Pan, Delu(pandelu@sio.org.cn)
作者部门海岸带信息集成与综合管理实验室
英文摘要We used field measurements and multimission satellite data to evaluate how well an inherent optical properties (IOPs) data processing system performed at correcting the residual error of the atmospheric correction in satellite remote sensing reflectance (R-rs) and how well the system simultaneously minimized intermission biases between different remote sensing systems. We developed the IOPs data processing system as a semianalytical algorithm called IDAS. Our results show that IDAS generates accurate and consistent IOPs products from two ocean color missions: Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer Aqua (MODISA). Specifically, with "high-quality" SeaWiFS and MODISA R-rs data, IDAS provided temporally consistent IOPs products for the oligotrophic open ocean resulting in an annual mean intermission difference of less than 3%, which is significantly lower than what a quasi-analytical algorithm (QAA) provided. We used IDAS to generate a long time series of b(b)(555) from the Northwest Atlantic Subtropical Gyre using SeaWiFS (1998 to 2002) and MODISA (2003 to 2017) images. Our results show that the IDAS-derived annual b(b)(555) decreased monotonically by 2.81% per decade from 1998 to 2017. Comparing the IDAS-generated annual trend for b(b)(555) to the same data processed with the QAA algorithm, we found that the QAA results differed because of impacts of the residual errors of the atmospheric correction and intermission biases. The differences in the annual trends existed despite the same temporal changing patterns of in situ particulate organic carbon existing in the Sargasso Sea and in the satellite chlorophyll-a concentration in the Northwest Atlantic Subtropical Gyre.
文章类型Article
资助机构National Key RAMP; D Program of China [2018YFB0504800 (2018YFB0504802)]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41876032, 41730536, 41676171]; Shanxi Key Research and Development Program [2018ZDXM-GY-023]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [60020302]
收录类别SCI
语种英语
关键词[WOS]PARTICULATE ORGANIC-CARBON; WATER-LEAVING RADIANCE; CROSS-CALIBRATION; TIME-SERIES; IN-SITU; EQUATORIAL PACIFIC; CHLOROPHYLL; SEAWIFS; MODIS; RETRIEVAL
研究领域[WOS]Oceanography
WOS记录号WOS:000530025100030
引用统计被引频次:3[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25096
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中科院海岸带环境过程与生态修复重点实验室

作者单位1.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China;
2.Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China

推荐引用方式
GB/T 7714Chen, Jun,He, Xianqiang,Xing, Xiaogang,et al. An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2020,125(1):e2019JC015811.
APAChen, Jun,He, Xianqiang,Xing, Xiaogang,Xing, Qianguo,Liu, Zhongli,&Pan, Delu.(2020).An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,125(1),e2019JC015811.
MLAChen, Jun,et al."An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 125.1(2020):e2019JC015811.


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