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The impacts avoided with a 1.5 °C climate target: a global and regional assessment

Author

Listed:
  • Nigel W. Arnell

    (University of Reading)

  • Jason A. Lowe

    (Met Office Hadley Centre
    University of Leeds)

  • Ben Lloyd-Hughes

    (University of Reading)

  • Timothy J. Osborn

    (University of East Anglia)

Abstract

The 2015 Paris Agreement commits countries to pursue efforts to limit the increase in global mean temperature to 1.5 °C above pre-industrial levels. We assess the consequences of achieving this target in 2100 for the impacts that are avoided, using several indicators of impact (exposure to drought, river flooding, heat waves and demands for heating and cooling energy). The proportion of impacts that are avoided is not simply equal to the proportional reduction in temperature. At the global scale, the median proportion of projected impacts avoided by the 1.5 °C target relative to a rise of 4 °C ranges between 62 and 95% across sectors: the greatest reduction is for heat wave impacts. The 1.5 °C target results in impacts that would be between 27 and 62% lower than with the 2 °C target. For each indicator, there are differences in the proportions of impacts avoided between regions depending on exposure and the regional changes in climate (particularly precipitation). Uncertainty in the proportion of impacts that are avoided for a specific sector depends on the range in the shape of the relationship between global temperature change and impact, and this varies between sectors.

Suggested Citation

  • Nigel W. Arnell & Jason A. Lowe & Ben Lloyd-Hughes & Timothy J. Osborn, 2018. "The impacts avoided with a 1.5 °C climate target: a global and regional assessment," Climatic Change, Springer, vol. 147(1), pages 61-76, March.
    • Handle: RePEc:spr:climat:v:147:y:2018:i:1:d:10.1007_s10584-017-2115-9
    DOI: 10.1007/s10584-017-2115-9
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    References listed on IDEAS

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    1. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
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    5. Timothy J. Osborn & Craig J. Wallace & Ian C. Harris & Thomas M. Melvin, 2016. "Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation," Climatic Change, Springer, vol. 134(3), pages 353-369, February.
    6. N. Arnell & S. Brown & S. Gosling & J. Hinkel & C. Huntingford & B. Lloyd-Hughes & J. Lowe & T. Osborn & R. Nicholls & P. Zelazowski, 2016. "Global-scale climate impact functions: the relationship between climate forcing and impact," Climatic Change, Springer, vol. 134(3), pages 475-487, February.
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    Cited by:

    1. van der Wiel, K. & Stoop, L.P. & van Zuijlen, B.R.H. & Blackport, R. & van den Broek, M.A. & Selten, F.M., 2019. "Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 261-275.
    2. Bloomfield, H.C. & Brayshaw, D.J. & Troccoli, A. & Goodess, C.M. & De Felice, M. & Dubus, L. & Bett, P.E. & Saint-Drenan, Y.-M., 2021. "Quantifying the sensitivity of european power systems to energy scenarios and climate change projections," Renewable Energy, Elsevier, vol. 164(C), pages 1062-1075.
    3. N. W. Arnell & J. A. Lowe & A. J. Challinor & T. J. Osborn, 2019. "Global and regional impacts of climate change at different levels of global temperature increase," Climatic Change, Springer, vol. 155(3), pages 377-391, August.
    4. Helen M. Hanlon & Dan Bernie & Giulia Carigi & Jason A. Lowe, 2021. "Future changes to high impact weather in the UK," Climatic Change, Springer, vol. 166(3), pages 1-23, June.

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