Articles | Volume 14, issue 9
Geosci. Model Dev., 14, 5695–5730, 2021
https://doi.org/10.5194/gmd-14-5695-2021
Geosci. Model Dev., 14, 5695–5730, 2021
https://doi.org/10.5194/gmd-14-5695-2021

Model description paper 14 Sep 2021

Model description paper | 14 Sep 2021

NDCmitiQ v1.0.0: a tool to quantify and analyse greenhouse gas mitigation targets

Annika Günther et al.

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Cited articles

Bauer, N., Calvin, K., Emmerling, J., Fricko, O., Fujimori, S., Hilaire, J., Eom, J., Krey, V., Kriegler, E., Mouratiadou, I., de Boer, H. S., van den Berg, M., Carrara, S., Daioglou, V., Drouet, L., Edmonds, J. E., Gernaat, D., Havlik, P., Johnson, N., Klein, D., Kyle, P., Marangoni, G., Masui, T., Pietzcker, R. C., Strubegger, M., Wise, M., Riahi, K., and van Vuuren, D. P.: Shared Socio-Economic Pathways of the Energy Sector – Quantifying the Narratives, Global Environ. Change, 42, 316–330, https://doi.org/10.1016/j.gloenvcha.2016.07.006, 2017. a
Benveniste, H., Boucher, O., Guivarch, C., Treut, H. L., and Criqui, P.: Impacts of nationally determined contributions on 2030 global greenhouse gas emissions: uncertainty analysis and distribution of emissions, Environ. Res. Lett., 13, 014022, https://doi.org/10.1088/1748-9326/aaa0b9, 2018. a, b, c, d, e, f, g, h
Carey, E. V., Sala, A., Keane, R., and Callaway, R. M.: Are old forests underestimated as global carbon sinks?, Glob. Change Biol., 7, 339–344, https://doi.org/10.1046/j.1365-2486.2001.00418.x, 2001. a
CAT: Climate Action Tracker: Australia: Assumptions: Pledge, available at: https://climateactiontracker.org/countries/australia/assumptions/ (last access: 1 June 2020), 2019a. a
CAT: Climate Action Tracker: Brazil: Assumptions: NDC, https://climateactiontracker.org/countries/brazil/assumptions/ (last access: 1 June 2020), 2019b. a
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The mitigation components of the nationally determined contributions (NDCs) under the Paris Agreement are essential in our fight against climate change. Regular updates with increased ambition are requested to limit global warming to 1.5–2 °C. The new and easy-to-update open-source tool NDCmitiQ can be used to quantify the NDCs' mitigation targets and construct resulting emissions pathways. In use cases, we show target uncertainties from missing clarity, data, and methodological challenges.