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DOI | 10.1029/2019JD031288 |
Ocean Biogeochemistry Control on the Marine Emissions of Brominated Very Short-Lived Ozone-Depleting Substances: A Machine-Learning Approach | |
Wang, Siyuan1,2; Kinnison, Douglas2; Montzka, Stephen A.3; Apel, Eric C.2; Hornbrook, Rebecca S.2; Hills, Alan J.2; Blake, Donald R.4; Barletta, Barbara4; Meinardi, Simone4; Sweeney, Colm3; Moore, Fred3; Long, Matthew5; Saiz-Lopez, Alfonso6; Pedro Fernandez, Rafael6,7; Tilmes, Simone2,5; Emmons, Louisa K.2; Lamarque, Jean-Francois5 | |
2019-11-17 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:22页码:12319-12339 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Spain; Argentina |
英文摘要 | Halogenated very short lived substances (VSLS) affect the ozone budget in the atmosphere. Brominated VSLS are naturally emitted from the ocean, and current oceanic emission inventories vary dramatically. We present a new global oceanic emission inventory of Br-VSLS (bromoform and dibromomethane), considering the physical forcing in the ocean and the atmosphere, as well as the ocean biogeochemistry control. A data-oriented machine-learning emulator was developed to couple the air-sea exchange with the ocean biogeochemistry. The predicted surface seawater concentrations and the surface atmospheric mixing ratios of Br-VSLS are evaluated with long-term, global-scale observations; and the predicted vertical distributions of Br-VSLS are compared to the global airborne observations in both boreal summer and winter. The global marine emissions of bromoform and dibromomethane are estimated to be 385 and 54 Gg Br per year, respectively. The new oceanic emission inventory of Br-VSLS is more skillful than the widely used top-down approaches for representing the seasonal/spatial variations and the annual means of atmospheric concentrations. The new approach improves the model predictability for the coupled Earth system model and can be used as a basis for investigating the past and future ocean emissions and feedbacks under climate change. This model framework can be used to calculate the bidirectional oceanic fluxes for other compounds of interest. |
英文关键词 | very short lived substances (VSLS) air-sea exchange ocean biogeochemistry machine Learning |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000496755200001 |
WOS关键词 | ORGANIC BROMINE ; HALOGEN CHEMISTRY ; DEPTH PROFILES ; TECHNICAL NOTE ; INDIAN-OCEAN ; AIR ; BROMOFORM ; SYSTEM ; MODEL ; HALOCARBONS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225789 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Natl Ctr Atmospher Res, Adv Study Program, Boulder, CO 80307 USA; 2.Natl Ctr Atmospher Res, Atmospher Chem Observat & Modeling Lab, Boulder, CO 80309 USA; 3.NOAA, Earth Syst Res Lab, Global Monitoring Div, Boulder, CO USA; 4.Univ Calif Irvine, Dept Chem, Irvine, CA 92717 USA; 5.Natl Ctr Atmospher Res, Climate & Global Dynam, Boulder, CO 80307 USA; 6.CSIC, Inst Phys Chem Rocasolano, Dept Atmospher Chem & Climate, Madrid, Spain; 7.UNT FRM, FCEN UNCuyo, Natl Res Council CONICET, Mendoza, Argentina |
推荐引用方式 GB/T 7714 | Wang, Siyuan,Kinnison, Douglas,Montzka, Stephen A.,et al. Ocean Biogeochemistry Control on the Marine Emissions of Brominated Very Short-Lived Ozone-Depleting Substances: A Machine-Learning Approach[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(22):12319-12339. |
APA | Wang, Siyuan.,Kinnison, Douglas.,Montzka, Stephen A..,Apel, Eric C..,Hornbrook, Rebecca S..,...&Lamarque, Jean-Francois.(2019).Ocean Biogeochemistry Control on the Marine Emissions of Brominated Very Short-Lived Ozone-Depleting Substances: A Machine-Learning Approach.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(22),12319-12339. |
MLA | Wang, Siyuan,et al."Ocean Biogeochemistry Control on the Marine Emissions of Brominated Very Short-Lived Ozone-Depleting Substances: A Machine-Learning Approach".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.22(2019):12319-12339. |
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