Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula | |
| Yu Tan1,2,3,4,5; He Yijun4; Zha Guozhen1,2,3; Song Jinbao1,3; Liu Guoqiang1,2,3; Guo Jie6,7; He, YJ | |
| 2013-07-01 | |
| 发表期刊 | ACTA OCEANOLOGICA SINICA
 |
| ISSN | 0253-505X |
| 卷号 | 32期号:7页码:78-87 |
| 文章类型 | Article |
| 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.; 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. |
| 关键词 | Gas Transfer Velocity Carbon Dioxide Flux Wave Steepness European Remote Sensing Scatterometer |
| 学科领域 | Oceanography |
| DOI | 10.1007/s13131-013-0334-0 |
| URL | 查看原文 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Oceanography |
| WOS类目 | Oceanography |
| WOS记录号 | WOS:000321808000010 |
| WOS关键词 | GAS TRANSFER ; WIND-WAVES ; CO2 FLUXES ; EXCHANGE ; OCEAN ; PARAMETERIZATION ; SCATTEROMETER ; BREAKING |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/16411 |
| 专题 | 海洋环流与波动重点实验室 |
| 通讯作者 | He, YJ |
| 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 |
| 第一作者单位 | 中国科学院海洋研究所 |
| 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.,...&He, YJ.(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. |
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