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The role of temperature in drought projections over North America

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  • Dae Jeong
  • Laxmi Sushama
  • M. Naveed Khaliq

Abstract

The effects of future temperature and hence evapotranspiration increases on drought risk over North America, based on ten current (1970–1999) and ten corresponding future (2040–2069) Regional Climate Model (RCM) simulations from the North American Regional Climate Change Assessment Program, are presented in this study. The ten pairs of simulations considered in this study are based on six RCMs and four driving Atmosphere Ocean Coupled Global Climate Models. The effects of temperature and evapotranspiration on drought risks are assessed by comparing characteristics of drought events identified on the basis of Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspration Index (SPEI). The former index uses only precipitation, while the latter uses the difference (DIF) between precipitation and potential evapotranspiration (PET) as input variables. As short- and long-term droughts impact various sectors differently, multi-scale (ranging from 1- to 12-month) drought events are considered. The projected increase in mean temperature by more than 2 °C in the future period compared to the current period for most parts of North America results in large increases in PET and decreases in DIF for the future period, especially for low latitude regions of North America. These changes result in large increases in future drought risks for most parts of the USA and southern Canada. Though similar results are obtained with SPI, the projected increases in the drought characteristics such as severity and duration and the spatial extent of regions susceptible to drought risks in the future are considerably larger in the case of SPEI-based analysis. Both approaches suggest that long-term and extreme drought events are affected more by the future increases in temperature and PET than short-term and moderate drought events, particularly over the high drought risk regions of North America. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Dae Jeong & Laxmi Sushama & M. Naveed Khaliq, 2014. "The role of temperature in drought projections over North America," Climatic Change, Springer, vol. 127(2), pages 289-303, November.
  • Handle: RePEc:spr:climat:v:127:y:2014:i:2:p:289-303
    DOI: 10.1007/s10584-014-1248-3
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    1. Mohammad Asadi Zarch & Hossein Malekinezhad & Mohammad Mobin & Mohammad Dastorani & Mohammad Kousari, 2011. "Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3485-3504, October.
    2. Justin Sheffield & Eric F. Wood & Michael L. Roderick, 2012. "Little change in global drought over the past 60 years," Nature, Nature, vol. 491(7424), pages 435-438, November.
    3. Miroslav Trnka & Kurt Kersebaum & Josef Eitzinger & Michael Hayes & Petr Hlavinka & Mark Svoboda & Martin Dubrovský & Daniela Semerádová & Brian Wardlow & Eduard Pokorný & Martin Možný & Don Wilhite &, 2013. "Consequences of climate change for the soil climate in Central Europe and the central plains of the United States," Climatic Change, Springer, vol. 120(1), pages 405-418, September.
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