2020
DOI: 10.1007/s10584-020-02938-5
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The Energy Modeling Forum (EMF)-30 study on short-lived climate forcers: introduction and overview

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Cited by 5 publications
(5 citation statements)
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References 22 publications
(45 reference statements)
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“…The global ESMs could learn from respective model intercomparison efforts within the IAMs [465], [466], [467], [468], which helped substantially in standardizing specific features and reporting structures and thus created higher relevance for policy makers. In this case, IAMs used for the IPCC are one step ahead, by publishing all assumptions and scenario variations for the used shared socio-economic pathways (SSPs) [469], [470], [471], [472], [473] and providing a broad scientific literature collection for transparency.…”
Section: Model Intercomparision Studies Of 100% Renewable Energy Syst...mentioning
confidence: 99%
“…The global ESMs could learn from respective model intercomparison efforts within the IAMs [465], [466], [467], [468], which helped substantially in standardizing specific features and reporting structures and thus created higher relevance for policy makers. In this case, IAMs used for the IPCC are one step ahead, by publishing all assumptions and scenario variations for the used shared socio-economic pathways (SSPs) [469], [470], [471], [472], [473] and providing a broad scientific literature collection for transparency.…”
Section: Model Intercomparision Studies Of 100% Renewable Energy Syst...mentioning
confidence: 99%
“…-GAINS 4.01 scenario data (last access: 12 October 2021): https://gains.iiasa.ac.at/models/ (GAINS Developer Team, 2021b) (IAM resolution, ECLIPSE v6b CLE and MFR, EMF30 resolution with G20 GAINS sectors for NH 3 ) available with a free account (Amann et al, 2011;GAINS Developer Team, 2021a;Klimont et al, 2017;Smith et al, 2020) -FAO scenario data (last access: 21 January 2022): https://www.fao.org/global-perspectives-studies/ food-agriculture-projections-to-2050/en/ (FAO, 2018)…”
Section: Discussionmentioning
confidence: 99%
“…Finally, we scale each activity's emissions intensity with region-and sector-specific trends from the GAINS 4.01 scenarios (GAINS Developer Team, 2021a; Klimont et al, 2017). Global data and projections from 2000 to 2050 are available for non-agricultural sectors and air pollutant species through the Energy Modeling Forum (EMF) study scenario data sets (Smith et al, 2020) that have been updated to GAINS 4.01. However, the EMF study does not include NH 3 , agriculture, or agricultural waste burning.…”
Section: Projecting Emissions Intensitiesmentioning
confidence: 99%
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“…Over the last decade, short-lived climate forcers (SLCFs) have received widespread attention in mitigation strategies following conclusive scientific evidence that has established that they are responsible for half of observed global warming. The remaining half is derived from excessive CO 2 emissions (Rogelj et al 2014;Haines et al 2017;Cain et al 2019;Fu et al 2020;Smith et al 2020). Furthermore, multiple scientific studies have demonstrated unequivocally that immediate and significant reductions in highly potent SLCFs such as CH 4 , BC, HFCs, and tropospheric ozone are necessary to keep global warming below 1.5 °C by the end of this century (IPCC 2018;Allen 2020).…”
Section: Introductionmentioning
confidence: 99%