Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5259-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Nov 2020
Model description paper |
| 04 Nov 2020
| 04 Nov 2020
Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research
Robin D. Lamboll
CORRESPONDING AUTHOR
Grantham Institute for Climate Change and the Environment, Imperial
College London, UK
Zebedee R. J. Nicholls
Australian-German Climate and Energy College, The University of
Melbourne, Parkville, Victoria, Australia
School of Earth Sciences, The University of Melbourne, Parkville,
Victoria, Australia
Jarmo S. Kikstra
Grantham Institute for Climate Change and the Environment, Imperial
College London, UK
International Institute for Applied Systems Analysis, Laxenburg,
Austria
Malte Meinshausen
Australian-German Climate and Energy College, The University of
Melbourne, Parkville, Victoria, Australia
School of Earth Sciences, The University of Melbourne, Parkville,
Victoria, Australia
Joeri Rogelj
Grantham Institute for Climate Change and the Environment, Imperial
College London, UK
International Institute for Applied Systems Analysis, Laxenburg,
Austria
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Cited
21 citations as recorded by crossref.
- Adaptive emission reduction approach to reach any global warming target J. Terhaar et al. 10.1038/s41558-022-01537-9
- pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. 10.12688/openreseurope.13633.1
- A multimodel analysis of post-Glasgow climate targets and feasibility challenges D. van de Ven et al. 10.1038/s41558-023-01661-0
- Using large ensembles of climate change mitigation scenarios for robust insights C. Guivarch et al. 10.1038/s41558-022-01349-x
- Realization of Paris Agreement pledges may limit warming just below 2 °C M. Meinshausen et al. 10.1038/s41586-022-04553-z
- Institutional decarbonization scenarios evaluated against the Paris Agreement 1.5 °C goal R. Brecha et al. 10.1038/s41467-022-31734-1
- Confronting mitigation deterrence in low-carbon scenarios N. Grant et al. 10.1088/1748-9326/ac0749
- The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures J. Kikstra et al. 10.5194/gmd-15-9075-2022
- Substantial reductions in non-CO2 greenhouse gas emissions reductions implied by IPCC estimates of the remaining carbon budget J. Rogelj & R. Lamboll 10.1038/s43247-023-01168-8
- Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled Z. Nicholls et al. 10.1029/2022GL099788
- Post COP26: does the 1.5°C climate target remain alive? A. Wiltshire et al. 10.1002/wea.4331
- Uncompensated claims to fair emission space risk putting Paris Agreement goals out of reach G. Ganti et al. 10.1088/1748-9326/acb502
- The AR6 Scenario Explorer and the history of IPCC Scenarios Databases: evolutions and challenges for transparency, pluralism and policy-relevance B. Cointe 10.1038/s44168-023-00075-0
- Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon C. Smith et al. 10.1088/1748-9326/acedc6
- The policy implications of an uncertain carbon dioxide removal potential N. Grant et al. 10.1016/j.joule.2021.09.004
- Assessing the size and uncertainty of remaining carbon budgets R. Lamboll et al. 10.1038/s41558-023-01848-5
- pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. 10.12688/openreseurope.13633.2
- Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. 10.5194/gmd-14-3683-2021
- Adjusting 1.5 degree C climate change mitigation pathways in light of adverse new information A. Gambhir et al. 10.1038/s41467-023-40673-4
- The Paris Agreement’s ratcheting mechanism needs strengthening 4-fold to keep 1.5°C alive N. Grant 10.1016/j.joule.2022.02.017
- Current and future global climate impacts resulting from COVID-19 P. Forster et al. 10.1038/s41558-020-0883-0
20 citations as recorded by crossref.
- Adaptive emission reduction approach to reach any global warming target J. Terhaar et al. 10.1038/s41558-022-01537-9
- pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. 10.12688/openreseurope.13633.1
- A multimodel analysis of post-Glasgow climate targets and feasibility challenges D. van de Ven et al. 10.1038/s41558-023-01661-0
- Using large ensembles of climate change mitigation scenarios for robust insights C. Guivarch et al. 10.1038/s41558-022-01349-x
- Realization of Paris Agreement pledges may limit warming just below 2 °C M. Meinshausen et al. 10.1038/s41586-022-04553-z
- Institutional decarbonization scenarios evaluated against the Paris Agreement 1.5 °C goal R. Brecha et al. 10.1038/s41467-022-31734-1
- Confronting mitigation deterrence in low-carbon scenarios N. Grant et al. 10.1088/1748-9326/ac0749
- The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures J. Kikstra et al. 10.5194/gmd-15-9075-2022
- Substantial reductions in non-CO2 greenhouse gas emissions reductions implied by IPCC estimates of the remaining carbon budget J. Rogelj & R. Lamboll 10.1038/s43247-023-01168-8
- Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled Z. Nicholls et al. 10.1029/2022GL099788
- Post COP26: does the 1.5°C climate target remain alive? A. Wiltshire et al. 10.1002/wea.4331
- Uncompensated claims to fair emission space risk putting Paris Agreement goals out of reach G. Ganti et al. 10.1088/1748-9326/acb502
- The AR6 Scenario Explorer and the history of IPCC Scenarios Databases: evolutions and challenges for transparency, pluralism and policy-relevance B. Cointe 10.1038/s44168-023-00075-0
- Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon C. Smith et al. 10.1088/1748-9326/acedc6
- The policy implications of an uncertain carbon dioxide removal potential N. Grant et al. 10.1016/j.joule.2021.09.004
- Assessing the size and uncertainty of remaining carbon budgets R. Lamboll et al. 10.1038/s41558-023-01848-5
- pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios D. Huppmann et al. 10.12688/openreseurope.13633.2
- Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. 10.5194/gmd-14-3683-2021
- Adjusting 1.5 degree C climate change mitigation pathways in light of adverse new information A. Gambhir et al. 10.1038/s41467-023-40673-4
- The Paris Agreement’s ratcheting mechanism needs strengthening 4-fold to keep 1.5°C alive N. Grant 10.1016/j.joule.2022.02.017
1 citations as recorded by crossref.
Latest update: 24 Apr 2024
Short summary
Many models project how human activity can lead to more or less climate change, but most of these models do not project all climate-relevant emissions, potentially biasing climate projections. This paper outlines a Python package called Silicone, which can add missing emissions in a flexible yet high-throughput manner. It does this
infillingbased on more complete literature projections. It facilitates a more complete understanding of the climate impact of alternative emission pathways.
Many models project how human activity can lead to more or less climate change, but most of...
