期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2020
卷号：117
期号：22
页码：11954-11960
DOI：10.1073/pnas.1921914117
出版社：The National Academy of Sciences of the United States of America
摘要：Assessment of the global budget of the greenhouse gas nitrous oxide ( N 2 O) is limited by poor knowledge of the oceanic N 2 O flux to the atmosphere, of which the magnitude, spatial distribution, and temporal variability remain highly uncertain. Here, we reconstruct climatological N 2 O emissions from the ocean by training a supervised learning algorithm with over 158,000 N 2 O measurements from the surface ocean—the largest synthesis to date. The reconstruction captures observed latitudinal gradients and coastal hot spots of N 2 O flux and reveals a vigorous global seasonal cycle. We estimate an annual mean N 2 O 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 N 2 O 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 N 2 O 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 N 2 O 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 N 2 O budget.
