Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data

CORC > 海洋研究所 > 中国科学院海洋研究所 > 海洋地质与环境重点实验室

	Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data
	Liu, Qiong 1,2; Pan, Delu 1,3; Bai, Yan 1,3; Wu, Kai 4; Chen, Chen-Tung Authur 5; Liu, Zhiliang 6; Zhang, Lin 1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
	2014-10-01
卷号	119 期号:10 页码:6557-6574
关键词	DOC inventory vertical-profile model remote-sensing East China Sea
通讯作者	Pan, DL (reprint author), SOA, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China.
英文摘要	The coastal ocean is characterized by a high dissolved organic carbon (DOC) concentration due to large terrestrial inputs and high primary production. Monitoring the dynamic variation of DOC inventories in coastal oceans provide more information on carbon flux, but is very challenging in practice. We propose a method of estimating DOC inventories in the East China Sea (ECS) by integrating the surface DOC distribution with a vertical model of the DOC profile via satellite data. Surface DOC concentration was retrieved from satellite-derived chromophoric dissolved organic matter and chlorophyll concentration. Two vertical DOC profile models (uniform model and stratified model) were established based on water-density profiles, and the usage of these two models was corresponded to water mass classification determined by a water mass index. The average bias of the satellite-derived DOC inventory, in the euphotic layer was 23.8% in spring, 24.8% in autumn and 14.7% in winter, and in the water column was 15.6% in spring, 12.3% in autumn, and 10.2% in winter. The total satellite-derived DOC inventory integrated in the water column was about 31.84, 31.96, 28.59, and 31.18 Tg in four seasons in the ECS (5.84 x 10(5) km(2)). Sensitivity analysis indicated that the remote-sensing method of estimating DOC inventory is stable and reliable. The available long-term and large-scale satellite-derived DOC inventories in marginal sea would provide us basic information on carbon cycle, and the difference between the seasonal DOC inventories would help to understand the DOC export and relative biogeochemical processes in the ECS.
学科主题	Oceanography
收录类别	SCI
语种	英语
WOS记录号	WOS:000345499700002
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/23811]
专题	海洋研究所_海洋地质与环境重点实验室
作者单位	1.SOA, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China 2.SOA, Natl Marine Environm Forecasting Ctr, Beijing, Peoples R China 3.Hangzhou Normal Univ, Inst Remote Sensing & Earth Sci, Hangzhou, Zhejiang, Peoples R China 4.Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China 5.Natl Sun Yat Sen Univ, Inst Marine Geol & Chem, Kaohsiung 80424, Taiwan 6.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Liu, Qiong,Pan, Delu,Bai, Yan,et al. Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2014,119(10):6557-6574.
APA	Liu, Qiong.,Pan, Delu.,Bai, Yan.,Wu, Kai.,Chen, Chen-Tung Authur.,...&Zhang, Lin.(2014).Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,119(10),6557-6574.
MLA	Liu, Qiong,et al."Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 119.10(2014):6557-6574.