| 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
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| 发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
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| ISSN | 2169-9275 |
| 2020-01 | |
| 卷号 | 125期号:1页码:e2019JC015811 |
| 关键词 | PARTICULATE ORGANIC-CARBON WATER-LEAVING RADIANCE CROSS-CALIBRATION TIME-SERIES IN-SITU EQUATORIAL PACIFIC CHLOROPHYLL SEAWIFS MODIS RETRIEVAL |
| 研究领域 | Oceanography |
| DOI | 10.1029/2019JC015811 |
| 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([email protected]) |
| 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 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/25096 |
| 专题 | 中国科学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 中国科学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 7714 | Chen, 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. |
| APA | Chen, 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. |
| MLA | Chen, 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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| An Inherent Optical （21695KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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