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Greater future global warming inferred from Earth’s recent energy budget

Author

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  • Patrick T. Brown

    (Carnegie Institution for Science)

  • Ken Caldeira

    (Carnegie Institution for Science)

Abstract

Climate models provide the principal means of projecting global warming over the remainder of the twenty-first century but modelled estimates of warming vary by a factor of approximately two even under the same radiative forcing scenarios. Across-model relationships between currently observable attributes of the climate system and the simulated magnitude of future warming have the potential to inform projections. Here we show that robust across-model relationships exist between the global spatial patterns of several fundamental attributes of Earth’s top-of-atmosphere energy budget and the magnitude of projected global warming. When we constrain the model projections with observations, we obtain greater means and narrower ranges of future global warming across the major radiative forcing scenarios, in general. In particular, we find that the observationally informed warming projection for the end of the twenty-first century for the steepest radiative forcing scenario is about 15 per cent warmer (+0.5 degrees Celsius) with a reduction of about a third in the two-standard-deviation spread (−1.2 degrees Celsius) relative to the raw model projections reported by the Intergovernmental Panel on Climate Change. Our results suggest that achieving any given global temperature stabilization target will require steeper greenhouse gas emissions reductions than previously calculated.

Suggested Citation

  • Patrick T. Brown & Ken Caldeira, 2017. "Greater future global warming inferred from Earth’s recent energy budget," Nature, Nature, vol. 552(7683), pages 45-50, December.
  • Handle: RePEc:nat:nature:v:552:y:2017:i:7683:d:10.1038_nature24672
    DOI: 10.1038/nature24672
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    Cited by:

    1. Fang, Yi & Paul, Manosh C. & Varjani, Sunita & Li, Xian & Park, Young-Kwon & You, Siming, 2021. "Concentrated solar thermochemical gasification of biomass: Principles, applications, and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Omid Alizadeh, 2022. "Amplitude, duration, variability, and seasonal frequency analysis of the El Niño-Southern Oscillation," Climatic Change, Springer, vol. 174(3), pages 1-15, October.
    3. Peishu Chen & Yu He & Kai Yue & Guochang Fang, 2023. "Can Carbon Trading Promote Low-Carbon Transformation of High Energy Consumption Enterprises?—The Case of China," Energies, MDPI, vol. 16(8), pages 1-18, April.
    4. Vyddiyaratnam Pathmanandakumar & Sheeba Nettukandy Chenoli & Hong Ching Goh, 2021. "Linkages between Climate Change and Coastal Tourism: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    5. Xu, Bingjie & Gao, Min & Wang, Shanshan & Wang, Youhua & Zhou, Zhiguo & Hu, Wei, 2022. "Elevated temperature further inhibited cottonseed protein synthesis under severe drought, but promoted cottonseed protein synthesis under mild drought," Agricultural Water Management, Elsevier, vol. 272(C).
    6. Yanru Yu & Shibo Fang & Wen Zhuo & Jiahao Han, 2024. "Contributions of Soil Moisture and Vegetation on Surface-Air Temperature Difference during the Rapid Warming Period," Agriculture, MDPI, vol. 14(7), pages 1-17, July.

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