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How do climate-related uncertainties influence 2 and 1.5 °C pathways?
We investigate how uncertainties in key parameters in the carbon cycle and climate system propagate to the costs of climate change mitigation and adaptation needed to achieve the 2 and 1.5 °C targets by 2100 using a stochastic version of the simple climate model for optimization (SCM4OPT), an integr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Japan
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086293/ https://www.ncbi.nlm.nih.gov/pubmed/30147782 http://dx.doi.org/10.1007/s11625-017-0525-2 |
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author | Su, Xuanming Shiogama, Hideo Tanaka, Katsumasa Fujimori, Shinichiro Hasegawa, Tomoko Hijioka, Yasuaki Takahashi, Kiyoshi Liu, Jingyu |
author_facet | Su, Xuanming Shiogama, Hideo Tanaka, Katsumasa Fujimori, Shinichiro Hasegawa, Tomoko Hijioka, Yasuaki Takahashi, Kiyoshi Liu, Jingyu |
author_sort | Su, Xuanming |
collection | PubMed |
description | We investigate how uncertainties in key parameters in the carbon cycle and climate system propagate to the costs of climate change mitigation and adaptation needed to achieve the 2 and 1.5 °C targets by 2100 using a stochastic version of the simple climate model for optimization (SCM4OPT), an integrated assessment model. For the 2 °C target, we find a difference in 2100 CO(2) emission levels of 20.5 GtCO(2) (− 1.2 GtCO(2) to 19.4 GtCO(2)), whereas this difference is 12.0 GtCO(2) (− 6.9 GtCO(2) to 5.1 GtCO(2)) for the 1.5 °C target (17–83% range). Total radiative forcing in 2100 is estimated to be 3.3 (2.7–3.9) Wm(−2) for the 2 °C case and 2.5 (2.0–3.0) Wm(−2) for the 1.5 °C case. Carbon prices in 2100 are 482 (181–732) USD(2005)/tCO(2) and 713 (498–1014) USD(2005)/tCO(2) for the 2 and 1.5 °C targets, respectively. We estimate GDP losses in 2100 that correspond to 1.9 (1.2–2.5)% of total gross output for the 2 °C target and 2.0 (1.5–2.7)% for the 1.5 °C target. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11625-017-0525-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6086293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-60862932018-08-23 How do climate-related uncertainties influence 2 and 1.5 °C pathways? Su, Xuanming Shiogama, Hideo Tanaka, Katsumasa Fujimori, Shinichiro Hasegawa, Tomoko Hijioka, Yasuaki Takahashi, Kiyoshi Liu, Jingyu Sustain Sci Special Feature: Original Article We investigate how uncertainties in key parameters in the carbon cycle and climate system propagate to the costs of climate change mitigation and adaptation needed to achieve the 2 and 1.5 °C targets by 2100 using a stochastic version of the simple climate model for optimization (SCM4OPT), an integrated assessment model. For the 2 °C target, we find a difference in 2100 CO(2) emission levels of 20.5 GtCO(2) (− 1.2 GtCO(2) to 19.4 GtCO(2)), whereas this difference is 12.0 GtCO(2) (− 6.9 GtCO(2) to 5.1 GtCO(2)) for the 1.5 °C target (17–83% range). Total radiative forcing in 2100 is estimated to be 3.3 (2.7–3.9) Wm(−2) for the 2 °C case and 2.5 (2.0–3.0) Wm(−2) for the 1.5 °C case. Carbon prices in 2100 are 482 (181–732) USD(2005)/tCO(2) and 713 (498–1014) USD(2005)/tCO(2) for the 2 and 1.5 °C targets, respectively. We estimate GDP losses in 2100 that correspond to 1.9 (1.2–2.5)% of total gross output for the 2 °C target and 2.0 (1.5–2.7)% for the 1.5 °C target. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11625-017-0525-2) contains supplementary material, which is available to authorized users. Springer Japan 2018-01-09 2018 /pmc/articles/PMC6086293/ /pubmed/30147782 http://dx.doi.org/10.1007/s11625-017-0525-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Special Feature: Original Article Su, Xuanming Shiogama, Hideo Tanaka, Katsumasa Fujimori, Shinichiro Hasegawa, Tomoko Hijioka, Yasuaki Takahashi, Kiyoshi Liu, Jingyu How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title | How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title_full | How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title_fullStr | How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title_full_unstemmed | How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title_short | How do climate-related uncertainties influence 2 and 1.5 °C pathways? |
title_sort | how do climate-related uncertainties influence 2 and 1.5 °c pathways? |
topic | Special Feature: Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086293/ https://www.ncbi.nlm.nih.gov/pubmed/30147782 http://dx.doi.org/10.1007/s11625-017-0525-2 |
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