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Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula

文献类型：期刊论文

作者Yu Tan1,2,3,4,5; He Yijun4; Zha Guozhen1,2,3; Song Jinbao1,3; Liu Guoqiang1,2,3; Guo Jie6,7
刊名ACTA OCEANOLOGICA SINICA
出版日期2013-07-01
卷号32期号:7页码:78-87
关键词gas transfer velocity carbon dioxide flux wave steepness European remote sensing scatterometer
ISSN号0253-505X
产权排序[Yu Tan; Zha Guozhen; Song Jinbao; Liu Guoqiang] Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China; [Yu Tan; Zha Guozhen; Liu Guoqiang] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Yu Tan; Zha Guozhen; Song Jinbao; Liu Guoqiang] Chinese Acad Sci, Inst Oceanol, Key Lab Chinese Acad Sci Ocean Circulat & Waves K, Qingdao 266071, Peoples R China; [Yu Tan; He Yijun] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China; [Yu Tan] Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China; [Guo Jie] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Chinese Acad Sci Coastal Zone Environm Pr, Yantai 264003, Peoples R China; [Guo Jie] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Shandong Prov Coastal Zone Environm Proc, Yantai 264003, Peoples R China
通讯作者He, YJ (reprint author), Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China. yjhe@nuist.edu.cn
中文摘要Using data from the European remote sensing scatterometer (ERS-2) from July 1997 to August 1998, global distributions of the air-sea CO2 transfer velocity and flux are retrieved. A new model of the air-sea CO2 transfer velocity with surface wind speed and wave steepness is proposed. The wave steepness (delta) is retrieved using a neural network (NN) model from ERS-2 scatterometer data, while the wind speed is directly derived by the ERS-2 scatterometer. The new model agrees well with the formulations based on the wind speed and the variation in the wind speed dependent relationships presented in many previous studies can be explained by this proposed relation with variation in wave steepness effect. Seasonally global maps of gas transfer velocity and flux are shown on the basis of the new model and the seasonal variations of the transfer velocity and flux during the 1 a period. The global mean gas transfer velocity is 30 cm/h after area-weighting and Schmidt number correction and its accuracy remains calculation with in situ data. The highest transfer velocity occurs around 60 degrees N and 60 degrees S, while the lowest on the equator. The total air to sea CO2 flux (calculated by carbon) in that year is 1.77 Pg. The strongest source of CO2 is in the equatorial east Pacific Ocean, while the strongest sink is in the 68 degrees N. Full exploration of the uncertainty of this estimate awaits further data. An effectual method is provided to calculate the effect of waves on the determination of air-sea CO2 transfer velocity and fluxes with ERS-2 scatterometer data.
英文摘要Using data from the European remote sensing scatterometer (ERS-2) from July 1997 to August 1998, global distributions of the air-sea CO2 transfer velocity and flux are retrieved. A new model of the air-sea CO2 transfer velocity with surface wind speed and wave steepness is proposed. The wave steepness (delta) is retrieved using a neural network (NN) model from ERS-2 scatterometer data, while the wind speed is directly derived by the ERS-2 scatterometer. The new model agrees well with the formulations based on the wind speed and the variation in the wind speed dependent relationships presented in many previous studies can be explained by this proposed relation with variation in wave steepness effect. Seasonally global maps of gas transfer velocity and flux are shown on the basis of the new model and the seasonal variations of the transfer velocity and flux during the 1 a period. The global mean gas transfer velocity is 30 cm/h after area-weighting and Schmidt number correction and its accuracy remains calculation with in situ data. The highest transfer velocity occurs around 60 degrees N and 60 degrees S, while the lowest on the equator. The total air to sea CO2 flux (calculated by carbon) in that year is 1.77 Pg. The strongest source of CO2 is in the equatorial east Pacific Ocean, while the strongest sink is in the 68 degrees N. Full exploration of the uncertainty of this estimate awaits further data. An effectual method is provided to calculate the effect of waves on the determination of air-sea CO2 transfer velocity and fluxes with ERS-2 scatterometer data.
学科主题Oceanography
研究领域[WOS]Oceanography
关键词[WOS]GAS TRANSFER ; WIND-WAVES ; CO2 FLUXES ; EXCHANGE ; OCEAN ; PARAMETERIZATION ; SCATTEROMETER ; BREAKING
收录类别SCI
资助信息Public Science and Technology Research Funds Projects of Ocean [200905012]; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) of China
原文出处http://dx.doi.org/10.1007/s13131-013-0334-0
语种英语
WOS记录号WOS:000321808000010
公开日期2014-07-08
源URL[http://ir.yic.ac.cn/handle/133337/7008]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Key Lab Chinese Acad Sci Ocean Circulat & Waves K, Qingdao 266071, Peoples R China
4.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China
5.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China
6.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Chinese Acad Sci Coastal Zone Environm Pr, Yantai 264003, Peoples R China
7.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Shandong Prov Coastal Zone Environm Proc, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714		 Yu Tan,He Yijun,Zha Guozhen,et al. Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula[J]. ACTA OCEANOLOGICA SINICA,2013,32(7):78-87.
APA Yu Tan,He Yijun,Zha Guozhen,Song Jinbao,Liu Guoqiang,&Guo Jie.(2013).Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula.ACTA OCEANOLOGICA SINICA,32(7),78-87.
MLA Yu Tan,et al."Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula".ACTA OCEANOLOGICA SINICA 32.7(2013):78-87.

入库方式： OAI收割

来源：烟台海岸带研究所

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