中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
南海海洋研究所 [9]
采集方式
OAI收割 [9]
内容类型
期刊论文 [9]
发表日期
2020 [4]
2019 [1]
2016 [1]
2015 [2]
2013 [1]
学科主题
Marine & F... [2]
Oceanograp... [2]
Limnology [1]
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浏览/检索结果:
共9条,第1-9条
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Effect of dissolution, evaporation, and photooxidation on crude oil chemical composition, dielectric properties and its radar signature in the Arctic environment
期刊论文
OAI收割
MARINE POLLUTION BULLETIN, 2020, 卷号: 151, 页码: 110629
作者:
Saltymakova, Diana
;
Desmond, Durell S.
;
Isleifson, Dustin
;
Firoozy, Nariman
;
Neusitzer, Thomas D.
  |  
收藏
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浏览/下载:26/0
  |  
提交时间:2020/09/22
The arctic
young sea ice
Chemical partitioning
Crude oil weathering
Complex permittivity (dielectrics)
Remote sensing
Diversity and potential function of bacterial communities in different upwelling systems
期刊论文
OAI收割
ESTUARINE COASTAL AND SHELF SCIENCE, 2020, 卷号: 237, 页码: 106698
作者:
Sun, Fulin
;
Wu, Meilin
;
Wang, Youshao
;
Sun, Cuici
;
Xu, Zhantang
  |  
收藏
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浏览/下载:42/0
  |  
提交时间:2020/09/22
Upwelling systems
Bacterial community
Functional metabolism
South China sea
Evaluating semi-analytical algorithms for estimating inherent optical properties in the South China Sea
期刊论文
OAI收割
OPTICS EXPRESS, 2020, 卷号: 28, 期号: 9, 页码: 13155, 13176
作者:
Deng, Lin
;
Zhou, Wen
;
Cao, Wenxi
;
Wang, Guifen
;
Zheng, Wendi
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/09/22
Vertical variations in the bio-optical properties of seawater in the northern South China Sea during summer 2008
期刊论文
OAI收割
ACTA OCEANOLOGICA SINICA, 2020, 卷号: 39, 期号: 4, 页码: 42, 56
作者:
Wang, Guifen
;
Zhou, Wen
;
Xu, Zhantang
;
Xu, Wenlong
;
Yang, Yuezhong
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2020/09/22
vertical distribution
phytoplankton
bio-optical properties
subsurface maximum layer
northern South China Sea
Retrieving Phytoplankton Size Class from the Absorption Coefficient and Chlorophyll A Concentration Based on Support Vector Machine
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 9, 页码: 1054
作者:
Yang, Yuezhong
;
Deng, Lin
;
Zhou, Wen
;
Cao, Wenxi
;
Zheng, Wendi
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/09/09
phytoplankton size class
support vector machines
AC-S
ocean color
remote sensing
South China Sea
A semianalytical algorithm for quantitatively estimating sediment and atmospheric deposition flux from MODIS-derived sea ice albedo in the Bohai Sea, China
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2016, 卷号: 121, 期号: 5, 页码: 3450-3464
作者:
Xu, Zhantang
;
Hu, Shuibo
;
Wang, Guifen
;
Zhao, Jun
;
Yang, Yuezhong
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2016/12/23
Empirical ocean color algorithm for estimating particulate organic carbon in the South China Sea
期刊论文
OAI收割
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 卷号: 33, 期号: 3, 页码: 764-778
作者:
Hu Shuibo
;
Cao Wenxi
;
Wang Guifen
;
Xu Zhantang
;
Zhao Wenjing
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2016/11/02
particulate organic carbon (POC)
ocean color algorithm
South China Sea (SCS)
MODIS
remote sensing
Empirical ocean color algorithm for estimating particulate organic carbon in the South China Sea
期刊论文
OAI收割
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 卷号: 33, 期号: 3, 页码: 764-778
作者:
Hu Shuibo
;
Cao Wenxi
;
Wang Guifen
;
Xu Zhantang
;
Zhao Wenjing
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2016/11/02
particulate organic carbon (POC)
ocean color algorithm
South China Sea (SCS)
MODIS
remote sensing
A bio-optical inversion model to retrieve absorption contributions and phytoplankton size structure from total minus water spectral absorption using genetic algorithm
期刊论文
OAI收割
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2013, 卷号: 31, 期号: 5, 页码: 970-978
[Lin Junfang
;
Cao Wenxi
;
Zhou Wen
;
Hu Shuibo
;
Wang Guifen
;
Sun Zhaohua
;
Xu Zhantang] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China
;
[Lin Junfang
;
Hu Shuibo] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
;
[Song Qingjun] State Ocean Adm, Natl Satellite Ocean Applicat Serv NSOAS, Beijing 100049, Peoples R China
收藏
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浏览/下载:35/0
  |  
提交时间:2015/01/14
inversion
phytoplankton size classes
absorption coefficients
genetic algorithm