Abstract

This study examines model-specific assumptions and projections of methane (CH4) emissions in deep mitigation scenarios generated by integrated assessment models (IAMs). For this, scenarios of nine models are compared in terms of sectoral and regional CH4 emission reduction strategies, as well as resulting climate impacts. The models’ projected reduction potentials are compared to sector and technology-specific reduction potentials found in literature.

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Maria Cecilia P. Moura
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Tatsuya Hanaoka
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Benjamin Leon Bodirsky
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David E. H. J. Gernaat
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Gunnar Luderer
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Steven J. Smith
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Shinichiro Fujimori
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Kimon Keramidas
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Fuminori Sano
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Laurent Drouet
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Detlef P. van Vuuren
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Jérôme Hilaire
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Oliver Fricko
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Mathijs Harmsen
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Jean Chateau
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Durand-Lasserve, Olivier
Energy Macro & Microeconomics
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