气候变化领域集成服务门户(CCPortal): Global reconstruction reduces the uncertainty of oceanic nitrous oxide emissions and reveals a vigorous seasonal cycle

CCPortal

DOI	10.1073/pnas.1921914117
	Global reconstruction reduces the uncertainty of oceanic nitrous oxide emissions and reveals a vigorous seasonal cycle
	Yang S.; Chang B.X.; Warner M.J.; Weber T.S.; Bourbonnais A.M.; Santoro A.E.; Kock A.; Sonnerup R.E.; Bullister J.L.; Wilson S.T.; Bianchi D.
发表日期	2020
ISSN	0027-8424
卷号	117 期号:22
英文摘要	Assessment of the global budget of the greenhouse gas nitrous oxide (N2O) is limited by poor knowledge of the oceanic N2O flux to the atmosphere, of which the magnitude, spatial distribution, and temporal variability remain highly uncertain. Here, we reconstruct climatological N2O emissions from the ocean by training a supervised learning algorithm with over 158,000 N2O measurements from the surface ocean-the largest synthesis to date. The reconstruction captures observed latitudinal gradients and coastal hot spots of N2O flux and reveals a vigorous global seasonal cycle. We estimate an annual mean N2O flux of 4.2 ± 1.0 Tg N·y−1, 64% of which occurs in the tropics, and 20% in coastal upwelling systems that occupy less than 3% of the ocean area. This N2O flux ranges from a low of 3.3 ± 1.3 Tg N·y−1 in the boreal spring to a high of 5.5 ± 2.0 Tg N·y−1 in the boreal summer. Much of the seasonal variations in global N2O emissions can be traced to seasonal upwelling in the tropical ocean and winter mixing in the Southern Ocean. The dominant contribution to seasonality by productive, low-oxygen tropical upwelling systems (>75%) suggests a sensitivity of the global N2O flux to El Niño-Southern Oscillation and anthropogenic stratification of the low latitude ocean. This ocean flux estimate is consistent with the range adopted by the Intergovernmental Panel on Climate Change, but reduces its uncertainty by more than fivefold, enabling more precise determination of other terms in the atmospheric N2O budget. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Air-sea gas exchange; Greenhouse gases; Nitrogen cycle; Nitrous oxide; Seasonal variability
语种	英语
scopus关键词	nitrous oxide; oxygen; Article; atmosphere; climate change; El Nino; latitude; learning algorithm; priority journal; sea pollution; seasonal variation; summer; winter
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160938
作者单位	Yang, S., Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095, United States; Chang, B.X., Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA 98195, United States, Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, WA 98115, United States; Warner, M.J., School of Oceanography, University of Washington, Seattle, WA 98195, United States; Weber, T.S., Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627, United States; Bourbonnais, A.M., School of the Earth, Ocean and Environment, University of South Carolina, Columbia, SC 29208, United States; Santoro, A.E., Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, United States; Kock, A., Chemical Oceanography Research Unit, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, 24148, Germany; Sonnerup, R.E., Joint Institute fo...
推荐引用方式 GB/T 7714	Yang S.,Chang B.X.,Warner M.J.,et al. Global reconstruction reduces the uncertainty of oceanic nitrous oxide emissions and reveals a vigorous seasonal cycle[J],2020,117(22).
APA	Yang S..,Chang B.X..,Warner M.J..,Weber T.S..,Bourbonnais A.M..,...&Bianchi D..(2020).Global reconstruction reduces the uncertainty of oceanic nitrous oxide emissions and reveals a vigorous seasonal cycle.Proceedings of the National Academy of Sciences of the United States of America,117(22).
MLA	Yang S.,et al."Global reconstruction reduces the uncertainty of oceanic nitrous oxide emissions and reveals a vigorous seasonal cycle".Proceedings of the National Academy of Sciences of the United States of America 117.22(2020).