DOI: 10.1016/j.atmosenv.2017.11.037
Scopus记录号: 2-s2.0-85036545886
论文题名: Isotopic source signatures: Impact of regional variability on the Δ13CH4 trend and spatial distribution
作者: Feinberg A ; I ; , Coulon A ; , Stenke A ; , Schwietzke S ; , Peter T
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 174 起始页码: 99
结束页码: 111
语种: 英语
英文关键词: Chemistry-climate model
; Isotopic signatures
; Methane isotopes
; Methane trends
Scopus关键词: Agriculture
; Climate models
; Coal
; Isotopes
; Methane
; Spatial distribution
; Uncertainty analysis
; Atmospheric methanes
; Chemistry-climate models
; Emissions inventory
; Isotopic signatures
; Methane isotopes
; Regional variability
; Regional variation
; Sensitivity Simulation
; Atmospheric chemistry
; coal
; methane
; natural gas
; oil
; atmospheric chemistry
; atmospheric modeling
; biogenic emission
; biomass burning
; climate modeling
; coal
; emission inventory
; isotope
; isotopic composition
; livestock
; methane
; source-sink dynamics
; spatial distribution
; trend analysis
; Article
; atmosphere
; biomass
; global climate
; livestock
; priority journal
; trend study
; vegetation
; wetland
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: The atmospheric methane growth rate has fluctuated over the past three decades, signifying variations in methane sources and sinks. Methane isotopic ratios (δ13CH4) differ between emission categories, and can therefore be used to distinguish which methane sources have changed. However, isotopic modelling studies have mainly focused on uncertainties in methane emissions rather than uncertainties in isotopic source signatures. We simulated atmospheric δ13CH4 for the period 1990–2010 using the global chemistry-climate model SOCOL. Empirically-derived regional variability in the isotopic signatures was introduced in a suite of sensitivity simulations. These simulations were compared to a baseline simulation with commonly used global mean isotopic signatures. We investigated coal, natural gas/oil, wetland, livestock, and biomass burning source signatures to determine whether regional variations impact the observed isotopic trend and spatial distribution. Based on recently published source signature datasets, our calculated global mean isotopic signatures are in general lighter than the commonly used values. Trends in several isotopic signatures were also apparent during the period 1990–2010. Tropical livestock emissions grew during the 2000s, introducing isotopically heavier livestock emissions since tropical livestock consume more C4 vegetation than midlatitude livestock. Chinese coal emissions, which are isotopically heavy compared to other coals, increase during the 2000s leading to higher global values of δ13CH4 for coal emissions. EDGAR v4.2 emissions disagree with the observed atmospheric isotopic trend for almost all simulations, confirming past doubts about this emissions inventory. The agreement between the modelled and observed δ13CH4 interhemispheric differences improves when regional source signatures are used. Even though the simulated results are highly dependent on the choice of methane emission inventories, they emphasize that the commonly used global mean signatures are inadequate. Regional isotopic signatures should be employed in modelling studies that try to constrain methane emission inventories. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83104
Appears in Collections: 气候变化事实与影响
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作者单位: Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Switzerland; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, United States; NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, CO, United States
Recommended Citation:
Feinberg A,I,, Coulon A,et al. Isotopic source signatures: Impact of regional variability on the Δ13CH4 trend and spatial distribution[J]. Atmospheric Environment,2018-01-01,174