Post-2020 climate agreements in the major economies assessed in the light of global models

By Massimo Tavoni, Elmar Kriegler, Keywan Riahi, D. P. Vuuren, T. Aboumahboub, A. Bowen, Katherine Calvin, Emanuele Campiglio, T. Kober, J. Jewell and 6 more. 2015

197 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/43e01e43addf0f6ade0eb88820f1b7e85d621e14

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Citations in the corpus

Biophysical and economic limits to negative CO2 emissions (2016, background): “There are distinct classes of NETs, such as: (1) bioenergy with carbon capture and storage (BECCS)11,12; (2) direct air capture of CO2 from ambient air by engineered chemical reactions (DAC)13,14; (3) enhanced weathering of minerals (EW)15, where natural weathering to remove CO2 from the atmosphere ”
Soil carbon sequestration and biochar as negative emission technologies (2016, background): “This continuing increase in emissions will present a major challenge for meeting the international goal of limiting warming to <2 °C relative to the preindustrial era, particularly if stringent climate policies are not introduced rapidly (Peters et al., 2013; Edenhofer et al., 2014; Tavoni et al., 2”
On the political feasibility of climate change mitigation pathways: Is it too late to keep warming below 1.5°C? (2019, background): “Obviously, climate actions may be constrained by their high costs, which are often calculated in IAM-generated scenarios (McCollum et al., 2018; Tavoni et al., 2015).”
2 °C and SDGs: united they stand, divided they fall? (2016, background): “This impedes an analysis of regional mitigation cost distributions (see den Elzen et al 2008, Luderer et al 2012, Tavoni et al 2013, Aboumahboub et al 2014, Tavoni et al 2015) and related SD implications.”
Evaluating process-based integrated assessment models of climate change mitigation (2017, background): “4 As an example in climate modelling, Tebaldi and Knutti (2007) note: ‘Although model agreement with observations is very valuable in improving the model, and is a necessary condition for a model to be trusted, it does not definitely prove that the model is right for the right reason.”
The road to achieving the long-term Paris targets: energy transition and the role of direct air capture (2017, background): “In these analyses, when having a global agreement, global emissions peak around 2020 with a large part of the emission reductions taking place in Africa, South America, India and other emerging economies (Tavoni et al. 2015; Marcucci and Fragkos 2015).”
Carbon emissions trading in China: the evolution from pilots to a nationwide scheme (2015, background): “First, China’s absolute emissions caps are still expected to grow rapidly for some time to come, even if some energy-saving policies and measures have been factored into such projections (Tavoni et al., 2015).”
Greenhouse gas emissions from current and enhanced policies of China until 2030: Can emissions peak before 2030? (2016, background): “The studies with global models that do exist are outdated as they do not account for the current policies around renewable energy capacity developments (e.g., Tavoni et al., 2015).”
Evaluating sustainability transitions pathways: Bridging analytical approaches to address governance challenges (2015, unknown): “Core messages (Moss et al., 2010; van Vuuren et al., 2011; van Vuuren, 2015): (1) future transitions pathways are scenarios that depart from ‘ reference futures ’ either by policies oriented towards politically-de ﬁ ned end-points or by a prede ﬁ ned set of policies; (2) scenarios are projections…”