{"refrec":{"BRefID":245377,"RR":"<b>Schwietzke, S.; Griffin, W.M.; Matthews, H.S.; Bruhwiler, L.M.P.</b> (2014). Global bottom-up fossil fuel fugitive methane and ethane emissions inventory for atmospheric modeling. <i>ACS Sustainable Chemistry & Engineering 2(8)</i>: 1992–2001. <a href=\"https://dx.doi.org/10.1021/sc500163h\" target=\"_blank\">https://dx.doi.org/10.1021/sc500163h</a>","BEntID":237062,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>ACS Sustainable Chemistry & Engineering 2(8)</i>: 1992–2001. <a href=\"https://dx.doi.org/10.1021/sc500163h\" target=\"_blank\">https://dx.doi.org/10.1021/sc500163h</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Schwietzke, S.; Griffin, W.M.; Matthews, H.S.; Bruhwiler, L.M.P.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Schwietzke, S. <i>et al.</i>","Englishabstract":"Natural gas (NG)-related fugitive methane (CH<sub>4</sub>) emissions estimates from life cycle assessments (LCA) and local field measurements are highly uncertain. Globally distributed long-term atmospheric measurements and top-down modeling can help understand whether LCA and field studies are representative of the global industry average. Attributing sources, such as the NG industry, to global total top-down emissions estimates requires detailed and transparent global <i>a priori</i> bottom-up emissions inventories. Establishing an <i>a priori</i> bottom-up inventory as a tool for top-down modeling is the focus of this work, which extends existing fossil fuel (FF) inventories over the past three decades: (i) It includes ethane (C<sub>2</sub>H<sub>6</sub>) emissions, which is a convenient FF tracer gas given available global C<sub>2</sub>H<sub>6</sub> observations. (ii) Fuel specific CH<sub>4</sub> and C<sub>2</sub>H<sub>6</sub> emissions uncertainties are quantified. (iii) NG CH<sub>4</sub> and C<sub>2</sub>H<sub>6</sub> emissions are estimated for different fugitive emissions rate (FER; % of dry production) scenarios as a basis for quantifying global average FER top-down. While our global oil and coal CH<sub>4</sub> estimates coincide well with EDGAR v4.2 for most years, country-level emissions vary substantially, and coal emissions increase at a lower rate over the past decade. Global emissions grid maps are presented for use in top-down modeling.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Global bottom-up fossil fuel fugitive methane and ethane emissions inventory for atmospheric modeling","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Life cycle assessments; Atmospheric modeling","OtherDescriptors":null,"Notes":null,"AnaPub":2014,"MonPub":null,"DateUpdate":"2018-02-15","DateCreate":"2015-03-09","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000339981900009","VABBcode":null,"OpenAcc":1,"DOI":"10.1021/sc500163h"},"refs":null,"anarec":{"AnaID":245377,"PubliDate":2014,"Pagination":"1992–2001","XtraPublOfAnaID":null,"ISBN":null,"Volume":"2","Issue":"8","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":245376,"SerRR":"ACS Sustainable Chemistry & Engineering. 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