Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jun;118(3-4):811-825.
doi: 10.1007/s10584-012-0659-2.

Heat waves in the United States: definitions, patterns and trends

Affiliations

Heat waves in the United States: definitions, patterns and trends

Tiffany T Smith et al. Clim Change. 2013 Jun.

Abstract

High temperatures and heat waves are related but not synonymous concepts. Heat waves, generally understood to be acute periods of extreme warmth, are relevant to a wide range of stakeholders because of the impacts that these events have on human health and activities and on natural environments. Perhaps because of the diversity of communities engaged in heat wave monitoring and research, there is no single, standard definition of a heat wave. Experts differ in which threshold values (absolute versus relative), duration and ancillary variables to incorporate into heat wave definitions. While there is value in this diversity of perspectives, the lack of a unified index can cause confusion when discussing patterns, trends, and impacts. Here, we use data from the North American Land Data Assimilation System to examine patterns and trends in 15 previously published heat wave indices for the period 1979-2011 across the Continental United States. Over this period the Southeast region saw the highest number of heat wave days for the majority of indices considered. Positive trends (increases in number of heat wave days per year) were greatest in the Southeast and Great Plains regions, where more than 12 % of the land area experienced significant increases in the number of heat wave days per year for the majority of heat wave indices. Significant negative trends were relatively rare, but were found in portions of the Southwest, Northwest, and Great Plains.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Regional division of the Continental United States (CONUS)
Fig. 2
Fig. 2
a Average daily Tmax (°C) over the time period 1979–2011. b Standard deviation of Tmax over the time period 1979–2011. c 95th percentile of Tmax(°C)
Fig. 3
Fig. 3
1979–2011, annual average number of heat wave days. Note the varying scales. Results for HI01–HI15 are shown by ao, respectively
Fig. 4
Fig. 4
Trends in the number of annual heat wave days, over the period 1979–2011. White areas indicate results below 95 % significance. Units are days/year
Fig. 5
Fig. 5
Average 95 % significant trends in the number of annual heat wave days, over the period 1979–2011, divided by region. The value printed in each cell is the trend value (in days/year). The color of the cell represents positive (red) and negative (blue) trends. The shades of red and blue represent the landmass percentage covered by this significant trend given by the scale bar. Regions are: Northwest (NW), Southwest (SW), Great Plains (GP), Midwest (MW), Southeast (SE) and Northeast (NE)

References

    1. Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Tank A, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A, Kumar KR, Revadekar J, Griffiths G, Vincent L, Stephenson DB, Burn J, Aguilar E, Brunet M, Taylor M, New M, Zhai P, Rusticucci M, Vazquez-Aguirre JL. Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res-Atmos. 2006;111:22.
    1. Anderson BG, Bell ML. Weather-related mortality how heat, cold, and heat waves affect mortality in the United States. Epidemiology. 2009;20:205–213. - PMC - PubMed
    1. Anderson GB, Bell ML. Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. Communities. Environ Heal Perspect. 2011;119:210–218. - PMC - PubMed
    1. Barnett AG, Tong S, Clements ACA. What measure of temperature is the best predictor of mortality? Environ Res. 2010;110:604–611. - PubMed
    1. Cosgrove BA, Lohmann D, Mitchell KE, Houser PR, Wood EF, Schaake JC, Robock A, Marshall C, Sheffield J, Duan QY, Luo LF, Higgins RW, Pinker RT, Tarpley JD, Meng J. Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. J Geophys Res-Atmos. 2003;108:12.

LinkOut - more resources