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对2010 - 2022年卫星观测数据的反向建模显示,湿热带地区的洪水泛滥导致了2020 - 2022年甲烷激增。

Inverse modeling of 2010-2022 satellite observations shows that inundation of the wet tropics drove the 2020-2022 methane surge.

作者信息

Qu Zhen, Jacob Daniel J, Bloom A Anthony, Worden John R, Parker Robert J, Boesch Hartmut

机构信息

Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695.

Environmental Science and Engineering, School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138.

出版信息

Proc Natl Acad Sci U S A. 2024 Oct;121(40):e2402730121. doi: 10.1073/pnas.2402730121. Epub 2024 Sep 24.

Abstract

Atmospheric methane concentrations rose rapidly over the past decade and surged in 2020-2022 but the causes have been unclear. We find from inverse analysis of GOSAT satellite observations that emissions from the wet tropics drove the 2010-2019 increase and the subsequent 2020-2022 surge, while emissions from northern mid-latitudes decreased. The 2020-2022 surge is principally contributed by emissions in Equatorial Asia (43%) and Africa (30%). Wetlands are the major drivers of the 2020-2022 emission increases in Africa and Equatorial Asia because of tropical inundation associated with La Niña conditions, consistent with trends in the GRACE terrestrial water storage data. In contrast, emissions from major anthropogenic emitters such as the United States, Russia, and China are relatively flat over 2010-2022. Concentrations of tropospheric OH (the main methane sink) show no long-term trend over 2010-2022 but a decrease over 2020-2022 that contributed to the methane surge.

摘要

在过去十年中,大气甲烷浓度迅速上升,并在2020 - 2022年期间激增,但其原因一直不明。我们通过对GOSAT卫星观测数据的反演分析发现,热带湿润地区的排放推动了2010 - 2019年的增长以及随后2020 - 2022年的激增,而北半球中纬度地区的排放有所下降。2020 - 2022年的激增主要由赤道亚洲(43%)和非洲(30%)的排放所致。由于与拉尼娜现象相关的热带洪水,湿地是非洲和赤道亚洲2020 - 2022年排放增加的主要驱动因素,这与GRACE陆地水储量数据的趋势一致。相比之下,美国、俄罗斯和中国等主要人为排放源在2010 - 2022年期间的排放相对平稳。对流层OH(主要的甲烷汇)浓度在2010 - 2022年期间没有长期趋势,但在2020 - 2022年期间有所下降,这促成了甲烷的激增。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e91/11459126/769c799f3e98/pnas.2402730121fig01.jpg

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