Remote-sensing observations relevant to ocean acidification | |
Sun, Qingyang1,2,3; Tang, Danling1,2,3; Wang, Sufen2 | |
发表期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING |
ISSN | 0143-1161 |
2012 | |
卷号 | 33期号:23页码:7542-7558 |
关键词 | Particulate Organic-carbon Sea-surface Temperature Acid-base-balance Elemental Ratios Co2 Satellite Growth Chlorophyll Shipboard Seawater |
产权排序 | [Sun, Qingyang; Tang, Danling] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Sun, Qingyang; Tang, Danling; Wang, Sufen] Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Oceanog Trop, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou 510301, Guangdong, Peoples R China; [Sun, Qingyang; Tang, Danling] Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China |
通讯作者 | Tang, DL (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.,[email protected] |
英文摘要 | Ocean acidification, a consequence of the ocean absorbing about a third of the anthropogenic carbon dioxide (CO2) emitted into the atmosphere, is poised to affect biogeochemical cycles and the seawater chemical system. Traditional research methods, such as field and in situ sampling, are precise and reliable, but are inherently limited in spatial and temporal coverage and resolution. This article summarizes remotely sensed products, including air-sea CO2 fluxes, total alkalinity, suspended calcite (particulate inorganic carbon), particulate organic carbon and calcification rates, which can be used to observe ocean acidification indirectly. Confounding factors and limitations of algorithms are major sources of errors. This article also discusses remote-sensing algorithms and satellite technology developments. Remote sensing, considering its great advantages and successful applications in climate change, will be an important tool in future studies of ocean acidification.; Ocean acidification, a consequence of the ocean absorbing about a third of the anthropogenic carbon dioxide (CO2) emitted into the atmosphere, is poised to affect biogeochemical cycles and the seawater chemical system. Traditional research methods, such as field and in situ sampling, are precise and reliable, but are inherently limited in spatial and temporal coverage and resolution. This article summarizes remotely sensed products, including air-sea CO2 fluxes, total alkalinity, suspended calcite (particulate inorganic carbon), particulate organic carbon and calcification rates, which can be used to observe ocean acidification indirectly. Confounding factors and limitations of algorithms are major sources of errors. This article also discusses remote-sensing algorithms and satellite technology developments. Remote sensing, considering its great advantages and successful applications in climate change, will be an important tool in future studies of ocean acidification. |
文章类型 | Article |
收录类别 | SCI ; ISTP |
语种 | 英语 |
关键词[WOS] | PARTICULATE ORGANIC-CARBON ; SEA-SURFACE TEMPERATURE ; ACID-BASE-BALANCE ; ELEMENTAL RATIOS ; CO2 ; SATELLITE ; GROWTH ; CHLOROPHYLL ; SHIPBOARD ; SEAWATER |
研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000306286200016 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/6203 |
专题 | 中国科学院烟台海岸带研究所知识产出 |
作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Oceanog Trop, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou 510301, Guangdong, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Qingyang,Tang, Danling,Wang, Sufen. Remote-sensing observations relevant to ocean acidification[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2012,33(23):7542-7558. |
APA | Sun, Qingyang,Tang, Danling,&Wang, Sufen.(2012).Remote-sensing observations relevant to ocean acidification.INTERNATIONAL JOURNAL OF REMOTE SENSING,33(23),7542-7558. |
MLA | Sun, Qingyang,et al."Remote-sensing observations relevant to ocean acidification".INTERNATIONAL JOURNAL OF REMOTE SENSING 33.23(2012):7542-7558. |
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