Trends in Extreme Apparent Temperatures over the United States, 1949–2010

Andrew Grundstein Climatology Research Laboratory, Department of Geography, The University of Georgia, Athens, Georgia

Search for other papers by Andrew Grundstein in
Current site
Google Scholar
PubMed
Close
and
John Dowd Department of Geology, The University of Georgia, Athens, Georgia

Search for other papers by John Dowd in
Current site
Google Scholar
PubMed
Close
Restricted access

We are aware of a technical issue preventing figures and tables from showing in some newly published articles in the full-text HTML view.
While we are resolving the problem, please use the online PDF version of these articles to view figures and tables.

Abstract

Biometeorological indices, such as the apparent temperature, are widely used in studies of heat-related mortality to quantify the human sensation to the environmental conditions. Increases in the frequency of environmentally stressful days as indicated by biometeorological indices may augment the risk for heat-related morbidity and mortality. This study examines trends in the frequency of days with extreme maximum and minimum apparent temperatures across the United States for 1949–2010. An increase in occurrence of 1-day extreme minimum apparent temperatures is particularly notable, especially in the eastern and western United States, with 44% of stations exhibiting positive trends. About 20% of stations have positive trends in 1-day extreme maximum apparent temperature, mostly in the western United States. The median trend for both 1-day extreme maximum and minimum apparent temperature is approximately 2 days per 10 yr, indicating that by 2010 there were 12 more days with extreme apparent temperatures than there were in 1949. Few stations with trends in 4-day extreme minimum or maximum apparent temperatures were noted. An important finding is that there has been a 53% increase in stations with positive trends in 1-day extreme minimum apparent temperatures and a 63% increase in stations with positive trends in 1-day extreme maximum apparent temperatures since a similar study by Gaffen and Ross was conducted using the period 1949–95. Although there is a clear increase in the hazard for days with extreme apparent temperatures, changes in health outcomes are modulated by factors, such as the age of the population and access to air conditioning, that affect social vulnerability.

Corresponding author address: Andrew Grundstein, Dept. of Geography Climatology Research Laboratory, University of Georgia, Athens, GA 30602. E-mail: andrewg@uga.edu

Abstract

Biometeorological indices, such as the apparent temperature, are widely used in studies of heat-related mortality to quantify the human sensation to the environmental conditions. Increases in the frequency of environmentally stressful days as indicated by biometeorological indices may augment the risk for heat-related morbidity and mortality. This study examines trends in the frequency of days with extreme maximum and minimum apparent temperatures across the United States for 1949–2010. An increase in occurrence of 1-day extreme minimum apparent temperatures is particularly notable, especially in the eastern and western United States, with 44% of stations exhibiting positive trends. About 20% of stations have positive trends in 1-day extreme maximum apparent temperature, mostly in the western United States. The median trend for both 1-day extreme maximum and minimum apparent temperature is approximately 2 days per 10 yr, indicating that by 2010 there were 12 more days with extreme apparent temperatures than there were in 1949. Few stations with trends in 4-day extreme minimum or maximum apparent temperatures were noted. An important finding is that there has been a 53% increase in stations with positive trends in 1-day extreme minimum apparent temperatures and a 63% increase in stations with positive trends in 1-day extreme maximum apparent temperatures since a similar study by Gaffen and Ross was conducted using the period 1949–95. Although there is a clear increase in the hazard for days with extreme apparent temperatures, changes in health outcomes are modulated by factors, such as the age of the population and access to air conditioning, that affect social vulnerability.

Corresponding author address: Andrew Grundstein, Dept. of Geography Climatology Research Laboratory, University of Georgia, Athens, GA 30602. E-mail: andrewg@uga.edu
Save
  • Baccini, M., and Coauthors, 2008: Heat effects on mortality in 15 European cities. Epidemiology, 19, 711719.

  • Basu, R., and B. D. Ostro, 2008: A multicounty analysis identifying the populations vulnerable to mortality associated with high ambient temperature in California. Amer. J. Epidemiol., 168, 632637.

    • Search Google Scholar
    • Export Citation
  • Davis, R. E., P. C. Knappenberger, M. Novicoff, and P. J. Michaels, 2002: Decadal changes in heat-related human mortality in the eastern United States. Climate Res., 22, 175184.

    • Search Google Scholar
    • Export Citation
  • Davis, R. E., P. C. Knappenberger, P. J. Michaels, and M. Novicoff, 2003: Changing heat-related mortality in the United States. Environ. Health Perspect., 111, 17121718.

    • Search Google Scholar
    • Export Citation
  • Gaffen, D. J., and R. J. Ross, 1998: Increased summertime heat stress in the U.S. Nature, 396, 529530.

  • Gaffen, D. J., and R. J. Ross, 1999: Climatology and trends in U.S. surface humidity and temperature. J. Climate, 12, 811828.

  • Hajat, S., and Coauthors, 2006: Impact of high temperatures on mortality: Is there an added heat wave effect? Epidemiology, 17, 632638.

    • Search Google Scholar
    • Export Citation
  • Lanzante, J. R., 1996: Resistant, robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data. Int. J. Climatol., 16, 11971226.

    • Search Google Scholar
    • Export Citation
  • Luber, G., and M. McGeehin, 2008: Climate change and extreme heat events. Amer. J. Prev. Med., 35, 429435.

  • Michelozzi, P., and Coauthors, 2009: High temperature and hospitalizations for cardiovascular and respiratory causes in 12 European cities. Amer. J. Respir. Crit. Care Med., 179, 383389.

    • Search Google Scholar
    • Export Citation
  • National Weather Service, cited 2011: Heat: A major killer. [Available online at http://www.weather.gov/om/heat/index.shtml.]

  • NCDC, cited 2011a: Climate at a glance: Annual temperatures for the contiguous United States. National Climatic Data Center. [Available online at http://www.ncdc.noaa.gov/oa/climate/research/cag3/cag3.html.]

    • Search Google Scholar
    • Export Citation
  • NCDC, cited 2011b: U.S. heat stress index. National Climatic Data Center. [Available online at http://www.ncdc.noaa.gov/temp-and-precip/heat-stress.html.]

    • Search Google Scholar
    • Export Citation
  • Robinson, P. J., 2001: On the definition of a heat wave. J. Appl. Meteor., 40, 762775.

  • Sheridan, S. C., and T. J. Dolney, 2003: Heat, mortality, and level of urbanization: Measuring vulnerability across Ohio, USA. Climate Res., 24, 255265.

    • Search Google Scholar
    • Export Citation
  • Sheridan, S. C., A. J. Kalkstein, and L. S. Kalkstein, 2009: Trends in heat-related mortality in the United States, 1975–2004. Nat. Hazards, 50, 145160.

    • Search Google Scholar
    • Export Citation
  • Smoyer, K. E., 1998: A comparative analysis of heat waves and associated mortality in St. Louis, Missouri—1980 and 1995. Int. J. Biometeor., 42, 4450.

    • Search Google Scholar
    • Export Citation
  • Smoyer, K. E., G. C. Rainham, and J. N. Hewko, 2000: Heat-stress-related mortality in five cities in southern Ontario: 1980–1996. Int. J. Biometeor., 44, 190197.

    • Search Google Scholar
    • Export Citation
  • Steadman, R. G., 1979: The assessment of sultriness. Part I: A temperature-humidity index based on human physiology and clothing science. J. Appl. Meteor., 18, 861873.

    • Search Google Scholar
    • Export Citation
  • Steadman, R. G., 1984: A universal scale of apparent temperature. J. Climate Appl. Meteor., 23, 16741687.

  • Stone, B., J. J. Hess, and H. Frumkin, 2010: Urban form and extreme heat events: Are sprawling cities more vulnerable to climate change than compact cities? Environ. Health Perspect., 118, 14251428.

    • Search Google Scholar
    • Export Citation
  • Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences: An Introduction. Academic Press, 467 pp.

  • Zanobetti, A., and J. Schwartz, 2008: Temperature and mortality in nine U.S. cities. Epidemiology, 19, 563570.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 973 546 242
PDF Downloads 420 198 10