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Little change in global drought over the past 60 years
Abstract
Drought is expected to increase in frequency and severity in the future as a result of climate change, mainly as a consequence of decreases in regional precipitation but also because of increasing evaporation driven by global warming. Previous assessments of historic changes in drought over the late twentieth and early twenty-first centuries indicate that this may already be happening globally. In particular, calculations of the Palmer Drought Severity Index (PDSI) show a decrease in moisture globally since the 1970s with a commensurate increase in the area in drought that is attributed, in part, to global warming. The simplicity of the PDSI, which is calculated from a simple water-balance model forced by monthly precipitation and temperature data, makes it an attractive tool in large-scale drought assessments, but may give biased results in the context of climate change. Here we show that the previously reported increase in global drought is overestimated because the PDSI uses a simplified model of potential evaporation that responds only to changes in temperature and thus responds incorrectly to global warming in recent decades. More realistic calculations, based on the underlying physical principles that take into account changes in available energy, humidity and wind speed, suggest that there has been little change in drought over the past 60 years. The results have implications for how we interpret the impact of global warming on the hydrological cycle and its extremes, and may help to explain why palaeoclimate drought reconstructions based on tree-ring data diverge from the PDSI-based drought record in recent years.
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“Two recent studies published in Nature Climate Change 25 and Nature 26 came to opposing conclusions about whether there are noticeable changes in drought trends as a result of climate change.”
From A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science (2014) · cites this paper as [26]
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Awange, J. L., Mpelasoka, F. S., & Gonçalves, R. M. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.06.031 · Cited by 99
“The insignificant trend in frequency of historical droughts are consistent with other studies, for example, Worrall et al. (2006) and Sheffield et al., 2012who showed that the previously reported increase in drought frequency (Briffa et al., 2009; Wang et al., 2010) is an overestimate emanating…”
ResultYan, H., Wang, S., Wang, J., Lu, H., Guo, A., Zhu, Z., Myneni, R. B., & Shugart, H. H. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2015jd024285 · Cited by 95
A new drought index that considers the joint effects of climate and land surface change
Liu, M., Xu, X., Xu, C., Sun, A. Y., Wang, K., Scanlon, B. R., & Zhang, L. (2017) · Water Resources Research · doi:10.1002/2016wr020178 · Cited by 93
The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems
Jensen, D. J., Reager, J. T., Zajic, B., Rousseau, N. J., Rodell, M., & Hinkley, E. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa9853 · Cited by 93
“fast-growing) fuels tend to be associated with precipitation and soil moisture conditions at the land surface over the months prior to fire season, when some regions experience an annual wet period or rainy season (Chuvieco et al 2004, Krueger et al 2015). These results suggest that soil moisture may be a good predict…”
BackgroundInfluentialSzejner, P., Belmecheri, S., Ehleringer, J. R., & Monson, R. K. (2019) · Oecologia · doi:10.1007/s00442-019-04550-6 · Cited by 95
A large set of potential past, present and future hydro-meteorological time series for the UK
Guillod, B. P., Jones, R., Dadson, S., Coxon, G., Bussi, G., Freer, J. E., Kay, A. L., Massey, N., Sparrow, S., Wallom, D. C. H., et al. (2018) · Hydrology and earth system sciences · doi:10.5194/hess-22-611-2018 · Cited by 101
“This is the case of drought (e.g. Sheffield et al., 2012), for which the attribution of observed (projected) trends can only be done with low (medium) confidence (IPCC, 2013) due, among other factors, to observational uncertainty and confounding effects from decadal-scale variability combined with…”
BackgroundThe impact of climate mitigation on projections of future drought
Taylor, I., Burke, E., McColl, L., Falloon, P., Harris, G. R., & McNeall, D. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-2339-2013 · Cited by 91
“Calculations based on the underlying physical principles, considering changes in available energy, humidity and wind speed, suggest little change in drought over the past 60 yr (Sheffield et al., 2012).”
BackgroundA probabilistic framework for assessing drought recovery
Pan, M., Yuan, X., & Wood, E. F. (2013) · Geophysical Research Letters · doi:10.1002/grl.50728 · Cited by 91
“[2] Drought remains a frequent and costly natural disaster [Sheffield et al., 2012].”
BackgroundSelf-citationBai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., & Liu, C. (2016) · Journal of Hydrometeorology · doi:10.1175/jhm-d-15-0202.1 · Cited by 90
Wan, W., Zhao, J., Li, H., Mishra, A. K., Leung, L.-Y. R., Hejazi, M. I., Wang, W., Lu, H. M., Deng, Z. D., Demissie, Y. K., et al. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd026899 · Cited by 93
“Over the historical period (1980–2004), the model simulated an overall increase in streamflow similar to the observed trend reported in previous studies (Dai, 2011; Sheffield et al., 2012).”
ResultZou, L., Xia, J., & She, D. (2017) · Water Resources Management · doi:10.1007/s11269-017-1877-1 · Cited by 90
“Human activities, such as irrigation, the modification of land use/land cover, urbanization and industrialization, can alter hydrological processes and exert impacts on the environment with significant implications for water resources, which can eventually affect the hydrological drought (Dai 2011; Sheffield et al. 20…”
BackgroundLiu, X., Yu, Y., Huang, S., Xu, C., Wang, X., Gao, J., Meng, Q., & Wang, P. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108733 · Cited by 92
Shift in potential evapotranspiration and its implications for dryness/wetness over Southwest China
Sun, S., Chen, H., Wang, G., Li, J., Mu, M., Yan, G., Xu, B., Huang, J., Wang, J., Zhang, F., et al. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2016jd025276 · Cited by 91
“…droughts (i.e., frequency, extent, and intensity) have been revealed to increase at both regional and global scales through different drought indices [Dai, 2013; IPCC, 2014], in which PET was involved; but there were still some uncertainties [Sheffield et al., 2012; Trenberth et al., 2014].”
BackgroundCharacterization of drought and its assessment over Sindh, Pakistan during 1951–2010
Adnan, S., Ullah, K., & Gao, S. (2015) · 气象学报:英文版 · doi:10.1007/s13351-015-4113-z · Cited by 89
“Similarly, Sheffield et al. (2012) observed a smaller increase in the frequency of global drought.”
BackgroundSpatial distribution of unidirectional trends in climate and weather extremes in Nile river basin
Nashwan, M. S., & Shahid, S. (2018) · Theoretical and Applied Climatology · doi:10.1007/s00704-018-2664-5 · Cited by 89
Selection of GCMs for the projection of spatial distribution of heat waves in Pakistan
Khan, N., Shahid, S., Ahmed, K., Wang, X., Ali, R., Ismail, T., & Nawaz, N. (2019) · Atmospheric Research · doi:10.1016/j.atmosres.2019.104688 · Cited by 89
2017 Montana Climate Assessment
Whitlock, C. L., Cross, W. F., Maxwell, B. D., Silverman, N. L., & Wade, A. A. (2017) · Montana State University ScholarWorks (Montana State University) · doi:10.15788/m2ww8w · Cited by 103
Cheng, Q., Gao, L., Zhong, F., Zuo, X., & Ma, M. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2019.106041 · Cited by 86
A drought index: The standardized precipitation evapotranspiration runoff index
Wang, L., Yu, H., Yang, M., Yang, R., Gao, R., & Wang, Y. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.02.023 · Cited by 87
The responses of natural vegetation dynamics to drought during the growing season across China
Zhang, X., & Zhang, B. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.04.084 · Cited by 87
Agricultural Drought Risk Assessment in Southwest China
Zeng, Z., Wu, W., Li, Z., Zhou, Y., Guo, Y., & Huang, H. (2019) · Water · doi:10.3390/w11051064 · Cited by 87
“The widespread drying caused by global climate change that is known to have occurred over most parts of the world from 1950 to 2008 [3,4] has challenged global food security because agriculture is the economic sector primarily”
BackgroundHan, J., & Singh, V. P. (2023) · Environmental Monitoring and Assessment · doi:10.1007/s10661-023-12062-3 · Cited by 89
“3; Sheffield et al., 2012).”
BackgroundMethodInfluentialJoetzjer, É., Douville, H., Delire, C., Ciais, P., Decharme, B., & Tytéca, S. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-4885-2013 · Cited by 87
“The Thornthwaite’s approximation for the computation of PET was also criticized and recently replaced by a more physical but still empirical Penman–Monteith approach (Van der Schrier et al., 2011; Sheffield et al., 2012).”
BackgroundMethodInfluentialCao, D., Zhang, J., Han, J., Zhang, T., Yang, S., Wang, J., Prodhan, F. A., & Yao, F. (2022) · Earth s Future · doi:10.1029/2022ef002681 · Cited by 87
Tao, H., Borth, H., Fraedrich, K., Su, B., & Zhu, X. (2013) · International Journal of Climatology · doi:10.1002/joc.3867 · Cited by 86
“E–mail: htao@niglas.ac.cn from a simple water-balance model forced by monthly precipitation and temperature data, makes it an attractive tool in large-scale drought assessments, but may give biased results in the context of climate change (Sheffield et al., 2012).”
BackgroundWang, M., Jiang, S. S., Ren, L., Xu, C., Menzel, L., Yuan, F., Xu, Q., Liu, Y., & Yang, X. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126913 · Cited by 85
The role of temperature in drought projections over North America
Jeong, D. I., Sushama, L., & Khaliq, M. N. (2014) · Climatic Change · doi:10.1007/s10584-014-1248-3 · Cited by 84
“Sheffield et al. (2012) showed that a simplified temperature-based method of PET overestimates drought risks detected on the basis of PDSI over the past 60 years (1950 to 2009).”
MethodLiu, Z., Menzel, L., Dong, C., & Fang, R. (2015) · International Journal of Climatology · doi:10.1002/joc.4526 · Cited by 85
“Although drought occurs in all climatic regimes, its spatial and temporal structure and impacts can be remarkably different from one region to another (Tatli and Türkes, 2011; Sheffield et al., 2012).”
BackgroundSun, S., Chen, H., Ju, W., Wang, G., Sun, G., Huang, J., Ma, H., Gao, C., Hua, W., & Yan, G. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3302-5 · Cited by 86
“However, Trenberth et al. (2012) compared the apparently conflicting results of Dai (2013) and Sheffield et al. (2012) on drought changes with climate change, and suggested that droughts were likely to be quicker and more intense despite the lower occurrence probability induced by global warming.”
BackgroundResultInfluential
Metadata
- Authors
- Sheffield, J., Wood, E. F., & Roderick, M. L.
- Affiliations
- Princeton University (US)
- Australian National University (AU)
- Corresponding author
- Sheffield, Justin
- Venue
- Nature
- Published
- 2012-11
- Volume
- 491
- Issue
- 7424
- Pages
- 435-438
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2015522309
- Cited by
- 1,978
- References
- 50
- Citations by year
- 2026: 97 · 2025: 126 · 2024: 131 · 2023: 162 · 2022: 188 · 2021: 196 · 2020: 174 · 2019: 159 · 2018: 160 · 2017: 139 · 2016: 144 · 2015: 121 · 2014: 110 · 2013: 66 · 2012: 3
- FWCI
- 79.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- global drought, Palmer Drought Severity Index, drought trends, potential evaporation, global warming, water cycle, drought indices, climate change impacts, water balance modeling
- MeSH terms
- Models, Theoretical, Temperature, Time Factors, Droughts, Global Warming
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