North–South Disparity in Impact of Climate Change on “Outdoor Days”

Yeon-Woo Choi aRalph M. Parsons Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts

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Muhammad Khalifa aRalph M. Parsons Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts

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Elfatih A. B. Eltahir aRalph M. Parsons Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts

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Abstract

Here, we introduce the concept of “outdoor days” to describe how climate change can affect quality of life for different communities and individuals. An outdoor day is characterized by moderate temperature, neither too cold nor too hot, allowing most people to enjoy outdoor activities. The number of “outdoor days” is a nonlinear function of the daily surface air temperature. If the latter falls within a specific range describing assumed thermal comfort conditions, then we assign that day as an “outdoor day.” Using this function, we describe climate change impacts on temperature differently, compared to other studies which often describe these impacts in terms of the linear averaging of daily surface air temperature. The introduction of this new concept offers another way for communicating how climate change may impact the quality of life for individuals who usually plan their outdoor activities based on how local weather conditions compare to their preferred levels of thermal comfort. Based on our analysis of regional variations in “outdoor days,” we present observational and modeling evidence of a north–south disparity in climate change impacts. Under high-emission scenarios, CMIP5 and CMIP6 models project fewer “outdoor days” for people living in developing countries, primarily located in low-latitude regions. Meanwhile, developed countries in mid- and high-latitude regions could gain more “outdoor days,” redistributed across seasons.

Significance Statement

We introduce a novel concept: outdoor days, characterizing surface air temperature conditions that allow for outdoor activities, such as walking, jogging, and cycling, by most people. We project that under high-emission scenarios of anthropogenic greenhouse gases, a north–south disparity of climate change risk will be enhanced considerably toward the end of this century due to more frequent outdoor days in the wealthy Global North and less frequent outdoor days in the deprived Global South.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Yeon-Woo Choi, choiyw@mit.edu

Abstract

Here, we introduce the concept of “outdoor days” to describe how climate change can affect quality of life for different communities and individuals. An outdoor day is characterized by moderate temperature, neither too cold nor too hot, allowing most people to enjoy outdoor activities. The number of “outdoor days” is a nonlinear function of the daily surface air temperature. If the latter falls within a specific range describing assumed thermal comfort conditions, then we assign that day as an “outdoor day.” Using this function, we describe climate change impacts on temperature differently, compared to other studies which often describe these impacts in terms of the linear averaging of daily surface air temperature. The introduction of this new concept offers another way for communicating how climate change may impact the quality of life for individuals who usually plan their outdoor activities based on how local weather conditions compare to their preferred levels of thermal comfort. Based on our analysis of regional variations in “outdoor days,” we present observational and modeling evidence of a north–south disparity in climate change impacts. Under high-emission scenarios, CMIP5 and CMIP6 models project fewer “outdoor days” for people living in developing countries, primarily located in low-latitude regions. Meanwhile, developed countries in mid- and high-latitude regions could gain more “outdoor days,” redistributed across seasons.

Significance Statement

We introduce a novel concept: outdoor days, characterizing surface air temperature conditions that allow for outdoor activities, such as walking, jogging, and cycling, by most people. We project that under high-emission scenarios of anthropogenic greenhouse gases, a north–south disparity of climate change risk will be enhanced considerably toward the end of this century due to more frequent outdoor days in the wealthy Global North and less frequent outdoor days in the deprived Global South.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Yeon-Woo Choi, choiyw@mit.edu

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  • Althor, G., J. E. M. Watson, and R. A. Fuller, 2016: Global mismatch between greenhouse gas emissions and the burden of climate change. Sci. Rep., 6, 20281, https://doi.org/10.1038/srep20281.

    • Search Google Scholar
    • Export Citation
  • Burke, M., S. M. Hsiang, and E. Miguel, 2015: Global non-linear effect of temperature on economic production. Nature, 527, 235239, https://doi.org/10.1038/nature15725.

    • Search Google Scholar
    • Export Citation
  • Burzyński, M., C. Deuster, F. Docquier, and J. de Melo, 2022: Climate change, inequality, and human migration. J. Eur. Econ. Assoc., 20, 11451197, https://doi.org/10.1093/jeea/jvab054.

    • Search Google Scholar
    • Export Citation
  • Callahan, C. W., and J. S. Mankin, 2022: Globally unequal effect of extreme heat on economic growth. Sci. Adv., 8, eadd3726, https://doi.org/10.1126/sciadv.add3726.

    • Search Google Scholar
    • Export Citation
  • Carleton, T., and Coauthors, 2022: Valuing the global mortality consequences of climate change accounting for adaptation costs and benefits. Quart. J. Econ., 137, 20372105, https://doi.org/10.1093/qje/qjac020.

    • Search Google Scholar
    • Export Citation
  • Choi, Y.-W., and E. A. B. Eltahir, 2022: Heat stress during Arba’een foot‐pilgrimage (World’s largest gathering) projected to reach “dangerous” levels due to climate change. Geophys. Res. Lett., 49, e2022GL099755, https://doi.org/10.1029/2022GL099755.

    • Search Google Scholar
    • Export Citation
  • Choi, Y.-W., and E. A. B. Eltahir, 2023: Uncertainty in future projections of precipitation decline over Mesopotamia. J. Climate, 36, 12131228, https://doi.org/10.1175/JCLI-D-22-0268.1.

    • Search Google Scholar
    • Export Citation
  • Choi, Y.-W., D. J. Campbell, and E. A. B. Eltahir, 2023: Near-term regional climate change in East Africa. Climate Dyn., 61, 961978, https://doi.org/10.1007/s00382-022-06591-9.

    • Search Google Scholar
    • Export Citation
  • Choi, Y.-W., D. J. Campbell, J. C. Aldridge, and E. A. B. Eltahir, 2021: Near-term regional climate change over Bangladesh. Climate Dyn., 57, 30553073, https://doi.org/10.1007/s00382-021-05856-z.

    • Search Google Scholar
    • Export Citation
  • CIESIN, 2018: Documentation for the Gridded Population of the World, version 4 (GPWv4), revision 11 data sets. NASA Socioeconomic Data and Applications Center, accessed 15 May 2023, https://doi.org/10.7927/H45Q4T5F.

  • Davies-Jones, R., 2008: An efficient and accurate method for computing the wet-bulb temperature along pseudoadiabats. Mon. Wea. Rev., 136, 27642785, https://doi.org/10.1175/2007MWR2224.1.

    • Search Google Scholar
    • Export Citation
  • Diffenbaugh, N. S., and M. Burke, 2019: Global warming has increased global economic inequality. Proc. Natl. Acad. Sci. USA, 116, 98089813, https://doi.org/10.1073/pnas.1816020116.

    • Search Google Scholar
    • Export Citation
  • Dorkenoo, K., M. Scown, and E. Boyd, 2022: A critical review of disproportionality in loss and damage from climate change. Wiley Interdiscip. Rev.: Climate Change, 13, e770, https://doi.org/10.1002/wcc.770.

    • Search Google Scholar
    • Export Citation
  • Farber, D. A., 2007: Adapting to climate change: Who should pay? J. Land Use Environ. Law, 23, 137, https://doi.org/10.2139/ssrn.980361.

    • Search Google Scholar
    • Export Citation
  • Fischer, E. M., and R. Knutti, 2015: Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes. Nat. Climate Change, 5, 560564, https://doi.org/10.1038/nclimate2617.

    • Search Google Scholar
    • Export Citation
  • Gao, X.-J., and Coauthors, 2018: Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations. Atmos. Ocean. Sci. Lett., 11, 291299, https://doi.org/10.1080/16742834.2018.1471578.

    • Search Google Scholar
    • Export Citation
  • Hanlon, H. M., D. Bernie, G. Carigi, and J. A. Lowe, 2021: Future changes to high impact weather in the UK. Climatic Change, 166, 50, https://doi.org/10.1007/s10584-021-03100-5.

    • Search Google Scholar
    • Export Citation
  • Hausfather, Z., 2019: Explainer: The high-emissions ‘RCP8.5’ global warming scenario. Carbon Brief, accessed 3 May 2024, https://www.carbonbrief.org/explainer-the-high-emissions-rcp8-5-global-warming-scenario.

  • Hausfather, Z., and G. P. Peters, 2020: Emissions–The ‘business as usual’ story is misleading. Nature, 577, 618620, https://doi.org/10.1038/d41586-020-00177-3.

    • Search Google Scholar
    • Export Citation
  • Heng, S. L., and W. T. L. Chow, 2019: How ‘hot’ is too hot? Evaluating acceptable outdoor thermal comfort ranges in an equatorial urban park. Int. J. Biometeor., 63, 801816, https://doi.org/10.1007/s00484-019-01694-1.

    • Search Google Scholar
    • Export Citation
  • Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 19992049, https://doi.org/10.1002/qj.3803.

    • Search Google Scholar
    • Export Citation
  • IPCC, 2014: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Cambridge University Press, 1132 pp., http://www.ipcc.ch/pdf/assessment-report/ar5/wg2/WGIIAR5-PartB_FINAL.pdf.

  • IPCC, 2022: Climate Change 2022: Impacts, Adaptation, and Vulnerability. Cambridge University Press, 3056 pp., https://doi.org/10.1017/9781009325844.

  • Kalkuhl, M., and L. Wenz, 2020: The impact of climate conditions on economic production. Evidence from a global panel of regions. J. Environ. Econ. Manage., 103, 102360, https://doi.org/10.1016/j.jeem.2020.102360.

    • Search Google Scholar
    • Export Citation
  • King, A. D., and L. J. Harrington, 2018: The inequality of climate change from 1.5 to 2°C of global warming. Geophys. Res. Lett., 45, 50305033, https://doi.org/10.1029/2018GL078430.

    • Search Google Scholar
    • Export Citation
  • Kummu, M., M. Taka, and J. H. A. Guillaume, 2018: Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci. Data, 5, 180004, https://doi.org/10.1038/sdata.2018.4.

    • Search Google Scholar
    • Export Citation
  • Lin, L., E. Ge, C. Chen, and M. Luo, 2019: Mild weather changes over China during 1971–2014: Climatology, trends, and interannual variability. Sci. Rep., 9, 2419, https://doi.org/10.1038/s41598-019-38845-8.

    • Search Google Scholar
    • Export Citation
  • Mendelsohn, R., A. Dinar, and L. Williams, 2006: The distributional impact of climate change on rich and poor countries. Environ. Dev. Econ., 11, 159178, https://doi.org/10.1017/S1355770X05002755.

    • Search Google Scholar
    • Export Citation
  • O’Neill, B. C., and Coauthors, 2016: The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci. Model Dev., 9, 34613482, https://doi.org/10.5194/gmd-9-3461-2016.

    • Search Google Scholar
    • Export Citation
  • Paglialunga, E., A. Coveri, and A. Zanfei, 2022: Climate change and within-country inequality: New evidence from a global perspective. World Dev., 159, 106030, https://doi.org/10.1016/j.worlddev.2022.106030.

    • Search Google Scholar
    • Export Citation
  • Pfahl, S., P. A. O’Gorman, and E. M. Fischer, 2017: Understanding the regional pattern of projected future changes in extreme precipitation. Nat. Climate Change, 7, 423427, https://doi.org/10.1038/nclimate3287.

    • Search Google Scholar
    • Export Citation
  • Rising, J., M. Tedesco, F. Piontek, and D. A. Stainforth, 2022: The missing risks of climate change. Nature, 610, 643651, https://doi.org/10.1038/s41586-022-05243-6.

    • Search Google Scholar
    • Export Citation
  • Saeed, F., C.-F. Schleussner, and M. Ashfaq, 2021: Deadly heat stress to become commonplace across South Asia already at 1.5°C of global warming. Geophys. Res. Lett., 48, e2020GL091191, https://doi.org/10.1029/2020GL091191.

    • Search Google Scholar
    • Export Citation
  • Schewe, J., and Coauthors, 2019: State-of-the-art global models underestimate impacts from climate extremes. Nat. Commun., 10, 1005, https://doi.org/10.1038/s41467-019-08745-6.

    • Search Google Scholar
    • Export Citation
  • Shiogama, H., and Coauthors, 2019: Limiting global warming to 1.5°C will lower increases in inequalities of four hazard indicators of climate change. Environ. Res. Lett., 14, 124022, https://doi.org/10.1088/1748-9326/ab5256.

    • Search Google Scholar
    • Export Citation
  • Sorensen, C., V. Murray, J. Lemery, and J. Balbus, 2018: Climate change and women’s health: Impacts and policy directions. PLOS Med., 15, e1002603, https://doi.org/10.1371/journal.pmed.1002603.

    • Search Google Scholar
    • Export Citation
  • Spagnolo, J., and R. de Dear, 2003: A field study of thermal comfort in outdoor and semi-outdoor environments in subtropical Sydney Australia. Build. Environ., 38, 721738, https://doi.org/10.1016/S0360-1323(02)00209-3.

    • Search Google Scholar
    • Export Citation
  • Steiger, R., D. Scott, B. Abegg, M. Pons, and C. Aall, 2019: A critical review of climate change risk for ski tourism. Curr. Issues Tour., 22, 13431379, https://doi.org/10.1080/13683500.2017.1410110.

    • Search Google Scholar
    • Export Citation
  • Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485498, https://doi.org/10.1175/BAMS-D-11-00094.1.

    • Search Google Scholar
    • Export Citation
  • Thrasher, B., E. P. Maurer, C. McKellar, and P. B. Duffy, 2012: Technical note: Bias correcting climate model simulated daily temperature extremes with quantile mapping. Hydrol. Earth Syst. Sci., 16, 33093314, https://doi.org/10.5194/hess-16-3309-2012.

    • Search Google Scholar
    • Export Citation
  • Thrasher, B., and Coauthors, 2022: NASA global daily downscaled projections, CMIP6. Sci. Data, 9, 262, https://doi.org/10.1038/s41597-022-01393-4.

    • Search Google Scholar
    • Export Citation
  • Tol, R. S. J., 2009: The economic effects of climate change. J. Econ. Perspect., 23, 2951, https://doi.org/10.1257/jep.23.2.29.

  • Tuel, A., and E. A. B. Eltahir, 2020: Why is the Mediterranean a climate change hot spot? J. Climate, 33, 58295843, https://doi.org/10.1175/JCLI-D-19-0910.1.

    • Search Google Scholar
    • Export Citation
  • van der Wiel, K., S. B. Kapnick, and G. A. Vecchi, 2017: Shifting patterns of mild weather in response to projected radiative forcing. Climatic Change, 140, 649658, https://doi.org/10.1007/s10584-016-1885-9.

    • Search Google Scholar
    • Export Citation
  • Wei, T., W. Dong, Q. Yan, J. Chou, Z. Yang, and D. Tian, 2016: Developed and developing world contributions to climate system change based on carbon dioxide, methane and nitrous oxide emissions. Adv. Atmos. Sci., 33, 632643, https://doi.org/10.1007/s00376-015-5141-4.

    • Search Google Scholar
    • Export Citation
  • Wu, J., X. Gao, F. Giorgi, and D. Chen, 2017: Changes of effective temperature and cold/hot days in late decades over China based on a high resolution gridded observation dataset. Int. J. Climatol., 37, 788800, https://doi.org/10.1002/joc.5038.

    • Search Google Scholar
    • Export Citation
  • Zhang, T. H., 2016: Weather effects on social movements: Evidence from Washington, D.C., and New York City, 1960–95. Wea. Climate Soc., 8, 299311, https://doi.org/10.1175/WCAS-D-15-0072.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., Q. You, G. Ren, and S. Ullah, 2022: Projected changes in mild weather frequency over China under a warmer climate. Environ. Res. Lett., 17, 114042, https://doi.org/10.1088/1748-9326/ac9c70.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., Q. You, G. Ren, S. Ullah, I. Normatov, and D. Chen, 2023: Inequality of global thermal comfort conditions changes in a warmer world. Earth’s Future, 11, e2022EF003109, https://doi.org/10.1029/2022EF003109.

    • Search Google Scholar
    • Export Citation
  • Zhao, Q., and Coauthors, 2021: Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: A three-stage modelling study. Lancet Planet. Health, 5, e415e425, https://doi.org/10.1016/S2542-5196(21)00081-4.

    • Search Google Scholar
    • Export Citation
  • Zivin, J. G., and M. Neidell, 2014: Temperature and the allocation of time: Implications for climate change. J. Labor Econ., 32 (1), 126, https://doi.org/10.1086/671766.

    • Search Google Scholar
    • Export Citation
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