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Can we advance individual-level heat-health research through the application of stochastic weather generators?

Author

Listed:
  • Andrew Verdin

    (University of Minnesota Twin Cities)

  • Kathryn Grace

    (University of Minnesota Twin Cities
    University of Minnesota Twin Cities)

  • Frank Davenport

    (University of California Santa Barbara)

  • Chris Funk

    (University of California Santa Barbara)

  • Greg Husak

    (University of California Santa Barbara)

Abstract

Individuals living in every region of the world are increasingly vulnerable to negative health outcomes due to extreme heat exposure. Children, in particular, may face long-term consequences associated with heat stress that affect their educational attainment and later life health and well-being. Retrospective individual-level analyses are useful for determining the effects of extreme heat exposure on health outcomes. Typically, future risk is inferred by extrapolating these effects using future warming scenarios that are applied uniformly over space and time without consideration of topographical or climatological gradients. We propose an alternative approach using a stochastic weather generator. This approach employs a 1 °C warming scenario to produce an ensemble of plausible future weather scenarios, and subsequently a distribution of future health risks. We focus on the effect of global warming on fetal development as measured by birth weight in Ethiopia. We demonstrate that predicted changes in birth weight are sensitive to the evolution of temperatures not quantified in a uniform warming scenario. Distributions of predicted changes in birth weight vary in magnitude and variability depending on geographic and socioeconomic region. We present these distributions alongside results from the uniform warming scenario and discuss the spatiotemporal variability of these predicted changes.

Suggested Citation

  • Andrew Verdin & Kathryn Grace & Frank Davenport & Chris Funk & Greg Husak, 2021. "Can we advance individual-level heat-health research through the application of stochastic weather generators?," Climatic Change, Springer, vol. 164(1), pages 1-13, January.
    • Handle: RePEc:spr:climat:v:164:y:2021:i:1:d:10.1007_s10584-021-02974-9
    DOI: 10.1007/s10584-021-02974-9
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    References listed on IDEAS

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    1. Marshall Burke & Solomon M. Hsiang & Edward Miguel, 2015. "Global non-linear effect of temperature on economic production," Nature, Nature, vol. 527(7577), pages 235-239, November.
    2. Randell, Heather & Gray, Clark & Grace, Kathryn, 2020. "Stunted from the start: Early life weather conditions and child undernutrition in Ethiopia," Social Science & Medicine, Elsevier, vol. 261(C).
    3. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    4. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    5. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    6. Frank Davenport & Chris Funk & Gideon Galu, 2018. "How will East African maize yields respond to climate change and can agricultural development mitigate this response?," Climatic Change, Springer, vol. 147(3), pages 491-506, April.
    7. Simon Gosling & Jason Lowe & Glenn McGregor & Mark Pelling & Bruce Malamud, 2009. "Associations between elevated atmospheric temperature and human mortality: a critical review of the literature," Climatic Change, Springer, vol. 92(3), pages 299-341, February.
    8. Spyros Makridakis & Robert L. Winkler, 1983. "Averages of Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 29(9), pages 987-996, September.
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