中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing

文献类型:期刊论文

作者Chen, Lei3,4,5; Zhang, Jie3,6; Pan, Xiaoju2; Shi, Peng1; Zhang, Xiaobo7,8
刊名REMOTE SENSING
出版日期2023-06-01
卷号15期号:12页码:17
关键词diffuse attenuation coefficient photosynthetically available radiation vertical variation remote sensing North Pacific
DOI10.3390/rs15123023
通讯作者Pan, Xiaoju(xiaojupan@hntou.edu.cn)
英文摘要Diffuse attenuation coefficient of photosynthetically available radiation (PAR), K-PAR, is a key product of ocean color remote sensing. Current ocean color algorithms generally detect only the average K-PAR within one optical depth, K-PAR(RS). Due to the marked vertical variations of K-PAR, knowledge of K-PAR(RS) is insufficient to accurately evaluate the submarine light field. By using field in situ observations, a two-step approach, based on the development of an ocean color algorithm for K-PAR(RS) and the relationships between K-PAR(RS) and the average K-PAR from the surface down to depth Z ((K) over bar (Z)(PAR)), was developed to remotely estimate the vertical variations in (K) over bar (Z)(PAR) in the North Pacific from the MODerate-resolution Imaging Spectrometer (MODIS) imagery. The root mean square difference of log((K) over bar (Z)(PAR)) in depths within the euphotic zone was around +/- 0.059 (in unit of m(-1) for (K) over bar (Z)(PAR)), which corresponded to a deviation of +/- 15% for the estimated (K) over bar (Z)(PAR) and the penetration depths of PAR. Our study may provide a promising approach to detect the vertical variations of (K) over bar (Z)(PAR) and underwater PAR distributions in the North Pacific Ocean.
WOS关键词SEA ; VARIABILITY ; WATERS ; MODEL
资助项目Finance Science and Technology Project of Hainan Province[ZDYF2021GXJS037] ; National Natural Science Foundation of China[42266005] ; National Natural Science Foundation of China[61931025] ; National Natural Science Foundation of China[U1906217] ; Major Science and Technology Plan Project of Hainan Province[ZDKJ202017-02-01] ; Key Deployment Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences[COMS2019Q05] ; Scientific Research Foundation of Hainan Tropical Ocean University[RHDRC202103] ; Spring Voyage of the Comprehensive Survey of Water Bodies in the Central and Southern Western Pacific[GASI-02-pac-stmsspr]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:001021586300001
源URL[http://ir.qdio.ac.cn/handle/337002/182481]  
专题中国科学院海洋研究所
通讯作者Pan, Xiaoju
作者单位1.Tongji Univ, Project Management Off China Natl Sci Seafloor Obs, Shanghai 200082, Peoples R China
2.Hainan Trop Ocean Univ, Yazhou Bay Innovat Inst, Coll Marine Sci & Technol, Sanya 572022, Peoples R China
3.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
4.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
6.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
7.Shandong Prov Key Lab Marine Ecol Environm & Disas, Qingdao 266033, Peoples R China
8.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China
推荐引用方式
GB/T 7714
Chen, Lei,Zhang, Jie,Pan, Xiaoju,et al. Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing[J]. REMOTE SENSING,2023,15(12):17.
APA Chen, Lei,Zhang, Jie,Pan, Xiaoju,Shi, Peng,&Zhang, Xiaobo.(2023).Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing.REMOTE SENSING,15(12),17.
MLA Chen, Lei,et al."Deriving the Vertical Variations in the Diffuse Attenuation Coefficient of Photosynthetically Available Radiation in the North Pacific Ocean from Remote Sensing".REMOTE SENSING 15.12(2023):17.

入库方式: OAI收割

来源:海洋研究所

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