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Probabilistic assessment of projected climatological drought characteristics over the Southeast USA

Author

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  • Subhasis Mitra

    (Indian Institute of Technology Palakkad)

  • Puneet Srivastava

    (Auburn University)

  • Jasmeet Lamba

    (Auburn University)

Abstract

The study makes a probabilistic assessment of drought risks due to climate change over the southeast USA based on 15 Global Circulation Model (GCM) simulations and two emission scenarios. The effects of climate change on drought characteristics such as drought intensity, frequency, areal extent, and duration are investigated using the seasonal and continuous standard precipitation index (SPI) and the standard evapotranspiration index (SPEI). The GCM data are divided into four time periods namely Historical (1961–1990), Near (2010–2039), Mid (2040–2069), and Late (2070–2099), and significant differences between historical and future time periods are quantified using the mapping model agreement technique. Further, the kernel density estimation approach is used to derive a novel probability-based severity-area-frequency (PBS) curve for the study domain. Analysis suggests that future increases in temperature and evapotranspiration will outstrip increases in precipitation and significantly affect future droughts over the study domain. Seasonal drought analysis suggest that the summer season will be impacted the most based on SPI and SPEI. Projections based on SPI follow precipitation patterns and fewer GCMs agree on SPI and the direction of change compared to the SPEI. Long-term and extreme drought events are projected to be affected more than short-term and moderate ones. Based on an analysis of PBS curves, especially based on SPEI, droughts are projected to become more severe in the future. The development of PBS curves is a novel feature in this study and will provide policymakers with important tools for analyzing future drought risks, vulnerabilities and help build drought resilience. The PBS curves can be replicated for studies around the world for drought assessment under climate change.

Suggested Citation

  • Subhasis Mitra & Puneet Srivastava & Jasmeet Lamba, 2018. "Probabilistic assessment of projected climatological drought characteristics over the Southeast USA," Climatic Change, Springer, vol. 147(3), pages 601-615, April.
    • Handle: RePEc:spr:climat:v:147:y:2018:i:3:d:10.1007_s10584-018-2161-y
    DOI: 10.1007/s10584-018-2161-y
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    References listed on IDEAS

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    1. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    2. 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.
    3. 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.
    4. Stephanie McAfee, 2013. "Methodological differences in projected potential evapotranspiration," Climatic Change, Springer, vol. 120(4), pages 915-930, October.
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    Cited by:

    1. Femin C. Varghese & Subhasis Mitra, 2024. "Investigating the Role of Driving Variables on ETo Variability and “Evapotranspiration Paradox” Across the Indian Subcontinent Under Historic and Future Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5723-5737, November.

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