A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources

被引:13
|
作者
Yu, Xueying [1 ,2 ]
Millet, Dylan B. [1 ]
Henze, Daven K. [3 ]
Turner, Alexander J. [4 ]
Delgado, Alba Lorente [5 ]
Bloom, A. Anthony [6 ]
Sheng, Jianxiong [7 ]
机构
[1] Univ Minnesota, Dept Soil Water & Climate, Paul, MN 55108 USA
[2] Stanford Univ, Dept Earth Syst Sci, Palo Alto, CA 94305 USA
[3] Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
[4] Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
[5] SRON Netherlands Inst Space Res, Earth Sci Grp, Leiden, Netherlands
[6] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[7] MIT, Ctr Global Change Sci, Cambridge, MA 02139 USA
基金
美国国家航空航天局;
关键词
HIGH-SPATIAL-RESOLUTION; ATMOSPHERIC METHANE; OH CONCENTRATIONS; INVERSE ANALYSES; NATURAL-GAS; GOSAT; INCREASE; VARIABILITY; INVENTORY; SYSTEM;
D O I
10.5194/acp-23-3325-2023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We interpret space-borne observations from the TROPOspheric Monitoring Instrument (TROPOMI) in a multi-inversion framework to characterize the 2018-2019 global methane budget. Evaluation of the inverse solutions indicates that simultaneous source + sink optimization using methane observations alone remains an ill-posed problem - even with the dense TROPOMI sampling coverage. Employing remote carbon monoxide (CO) and hydroxyl radical (OH) observations with independent methane measurements to distinguish between candidate solutions, we infer from TROPOMI a global methane source of 587 (586-589) Tg yr(-1) and sink of 571 Tg yr(-1) for our analysis period. We apply a new downscaling method to map the derived monthly emissions to 0.1 degrees x 0.1 degrees resolution, using the results to uncover key gaps in the prior methane budget. The TROPOMI data point to an underestimate of tropical wetland emissions (a posteriori increase of +13 % [6 %-25 %] or 20 [7-25] Tg yr(-1)), with adjustments following regional hydrology. Some simple wetland parameterizations represent these patterns as accurately as more sophisticated process-based models. Emissions from fossil fuel activities are strongly underestimated over the Middle East (+5 [2-6] Tg yr(-1) a posteriori increase) and over Venezuela. The TROPOMI observations also reveal many fossil fuel emission hotspots missing from the prior inventory, including over Mexico, Oman, Yemen, Turkmenistan, Iran, Iraq, Libya, and Algeria. Agricultural methane sources are underestimated in India, Brazil, the California Central Valley, and Asia. Overall, anthropogenic sources worldwide are increased by +19 [11-31] Tg yr(-1) over the prior estimate. More than 45 % of this adjustment occurs over India and Southeast Asia during the summer monsoon (+8.5 [3.1-10.7] Tg in July-October), likely due to rainfall-enhanced emissions from rice, manure, and landfills/sewers, which increase during this season along with the natural wetland source.
引用
收藏
页码:3325 / 3346
页数:22
相关论文
共 50 条
  • [1] Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)
    Bernard, Juliette
    Salmon, Elodie
    Saunois, Marielle
    Peng, Shushi
    Serrano-Ortiz, Penelope
    Berchet, Antoine
    Gnanamoorthy, Palingamoorthy
    Jansen, Joachim
    Ciais, Philippe
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2025, 18 (03) : 863 - 883
  • [2] High-Resolution Satellite Reveals the Methane Emissions from China's Coal Mines
    Li, Xingyu
    Cheng, Tianhai
    Zhu, Hao
    Ye, Xiaotong
    Fan, Donghao
    Tang, Tao
    Tong, Haoran
    Yin, Shizhe
    Xiong, Jingyu
    REMOTE SENSING, 2025, 17 (02)
  • [3] A web-based system for satellite-based high-resolution global soil moisture maps
    Khazaei, Morteza
    Hamzeh, Saeid
    Samani, Najmeh Neysani
    Muhuri, Arnab
    Goita, Kalifa
    Weng, Qihao
    COMPUTERS & GEOSCIENCES, 2023, 170
  • [4] Satellite-based high-resolution global optimum interpolation sea surface temperature data
    Kawai, Yoshimi
    Kawamura, Hiroshi
    Takahashi, Shin
    Hosoda, Kohtaro
    Murakami, Hiroshi
    Kachi, Misako
    Guan, Lei
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2006, 111 (C6)
  • [5] Upward revision of global fossil fuel methane emissions based on isotope database
    Schwietzke, Stefan
    Sherwood, Owen A.
    Ruhwiler, Lori M. P. B.
    Miller, John B.
    Etiope, Giuseppe
    Dlugokencky, Edward J.
    Michel, Sylvia Englund
    Arling, Victoria A.
    Vaughn, Bruce H.
    White, James W. C.
    Tans, Pieter P.
    NATURE, 2016, 538 (7623) : 88 - 91
  • [6] Upward revision of global fossil fuel methane emissions based on isotope database
    Stefan Schwietzke
    Owen A. Sherwood
    Lori M. P. Bruhwiler
    John B. Miller
    Giuseppe Etiope
    Edward J. Dlugokencky
    Sylvia Englund Michel
    Victoria A. Arling
    Bruce H. Vaughn
    James W. C. White
    Pieter P. Tans
    Nature, 2016, 538 : 88 - 91
  • [7] Evaluation of a Moderate Resolution, Satellite-Based Impervious Surface Map Using an Independent, High-Resolution Validation Data Set
    Jones, John W.
    Jarnagin, Taylor
    JOURNAL OF HYDROLOGIC ENGINEERING, 2009, 14 (04) : 369 - 376
  • [8] High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China
    Peng, Shushi
    Giron, Clement
    Liu, Gang
    d'Aspremont, Alexandre
    Benoit, Antoine
    Lauvaux, Thomas
    Lin, Xin
    Rodrigues, Hugo de Almeida
    Saunois, Marielle
    Ciais, Philippe
    ISCIENCE, 2023, 26 (12)
  • [9] Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations
    Chen, Zichong
    Jacob, Daniel J.
    Nesser, Hannah
    Sulprizio, Melissa P.
    Lorente, Alba
    Varon, Daniel J.
    Lu, Xiao
    Shen, Lu
    Qu, Zhen
    Penn, Elise
    Yu, Xueying
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 22 (16) : 10809 - 10826
  • [10] Satellite-based high-resolution mapping of rainfall over southern Africa
    Meyer, Hanna
    Droenner, Johannes
    Nauss, Thomas
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (06) : 2009 - 2019