The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
An Approach toward a Rational Classification of Climate
Thornthwaite, C. W. (1948) · Geographical Review · doi:10.2307/210739 · Cited by 9,334
Natural evaporation from open water, bare soil and grass
Penman, H. L. (1948) · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · doi:10.1098/rspa.1948.0037 · Cited by 7,346
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu, G., Hong, Y. E., Bowman, K. P., & Stocker, E. F. (2007) · Journal of Hydrometeorology · doi:10.1175/jhm560.1 · Cited by 6,773
THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE
Shine, K. P. (1990) · Weather · doi:10.1002/j.1477-8696.1990.tb05660.x · Cited by 5,458
Jl, M. (1965) · PubMed · Cited by 5,033
Jansen, E. H., Overpeck, J. T., Briffa, K., Duplessy, J., Joos, F., Masson-Delmotte, Olago, D., Otto‐Bliesner, B. L., Peltier, W. R., Rahmstorf, S., et al. (2007) · UEA Digital Repository (University of East Anglia) · Cited by 4,577
Mitchell, T. D., & Jones, P. D. (2005) · International Journal of Climatology · doi:10.1002/joc.1181 · Cited by 3,820
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Gupta, S. K., Stackhouse, P. W., Cox, S. J., Mikovitz, J. C. & Zhang, T. Surface Radiation Budget Project completes 22-year data set. GEWEX News 16, 12–13 (2006)
Cited by
Sorted by citations
Items 901–1,000 of 1,000
Glaser, R., & Kahle, M. (2020) · Climate of the past · doi:10.5194/cp-16-1207-2020 · Cited by 29
“This also corresponds to the findings of Sheffield et al (2012) and Spinoni et al. (2015).”
ResultWei, J., Wang, W.-G., Huang, Y., Ding, Y., Fu, J., Chen, Z., & Xing, W. (2020) · Water Science and Engineering · doi:10.1016/j.wse.2020.12.007 · Cited by 29
Kim, D., Ha, K., & Yeo, J. (2021) · Earth s Future · doi:10.1029/2020ef001697 · Cited by 29
“However, there exists controversy over past and future drought trends (e.g., Dai, 2013; Dai & Zhao, 2017; Dai et al., 2018; Sheffield et al., 2012; K. E. Trenberth et al., 2014).”
BackgroundKuśmierek‐Tomaszewska, R., & Żarski, J. (2021) · Agriculture · doi:10.3390/agriculture11090855 · Cited by 29
Charnley, G. E. C., Kelman, I., Green, N., Hinsley, W. R., Gaythorpe, K. A. M., & Murray, K. A. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06856-4 · Cited by 29
“Several PDSI modelling studies [36, 37] and paleoclimatic studies [38, 39] found that drought severity and durations remained constant despite periods of extreme dryness, over a range of time scales.”
BackgroundSuper Drought under Global Warming: Concept, Monitoring Index, and Validation
Wang, L., Huang, G., Chen, W., & Wang, T. (2023) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-22-0182.1 · Cited by 29
Traoré, A. K., Ciais, P., Vuichard, N., MacBean, N., Dardel, C., Poulter, B., Piao, S. L., Fisher, J. B., Viovy, N., Jung, M., et al. (2014) · Remote Sensing · doi:10.3390/rs6098923 · Cited by 30
“This result shows the importance of having accurate climatic historical reconstructions to investigate iWUE* and LUE trends in observations and in models as recently pointed out for drought trends as well [81,82].”
BackgroundRelating the dynamics of climatological and hydrological droughts in semiarid Botswana
Byakatonda, J., Parida, B. P., & Kenabatho, P. K. (2018) · Physics and Chemistry of the Earth Parts A/B/C · doi:10.1016/j.pce.2018.02.004 · Cited by 29
Non-symmetric responses of leaf onset date to natural warming and cooling in northern ecosystems
He, L., Wang, J., Ciais, P., Ballantyne, A. P., Yu, K., Zhang, W., Xiao, J., Ritter, F., Liu, Z., Wang, X., et al. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad308 · Cited by 28
“Decreased SPEI generally accompanies abundant sunshine in the warming areas, and these processes together lead to earlier LOD (40 – 43) (Fig.”
Vegetation greening accelerated hydrological drought in two-thirds of river basins over China
Lan, X., Xie, Y., Liu, Z., Yang, T., Huang, L., Chen, X., Chen, X., Lin, K., & Cheng, L. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131436 · Cited by 28
Improved non-stationary SPEI and its application in drought monitoring in China
Zhang, Q., Wang, D., Feng, A., Wang, G., Hu, L., Xu, C., & Singh, V. P. (2025) · Journal of Hydrology · doi:10.1016/j.jhydrol.2025.132706 · Cited by 29
Irannezhad, M., Ahmadi, B., Kløve, B., & Moradkhani, H. (2017) · International Journal of Climatology · doi:10.1002/joc.5039 · Cited by 28
“The differences between drought assessments obtained with the Thornthwaite and Penman–Monteith methods have previously been discussed in a number of studies (Seneviratne, 2012; Sheffield et al., 2012; Dai, 2013).”
MethodHaslinger, K., Holawe, F., & Blöschl, G. (2018) · Theoretical and Applied Climatology · doi:10.1007/s00704-018-2506-5 · Cited by 28
“…of a temperature-based PET (other variables are not available for the GAR for this time period) introduces additional uncertainty (e.g., Sheffield et al. 2012) and (ii) we are interested in understanding the spatial patterns of precipitation deficit; investigating the climatic water…”
BackgroundEffects of water stress on the growth, physiology and biochemical properties of oil palm seedlings
Najihah, T. S., Ibrahim, M. H., Razak, A. A., Nulit, R., & Wahab, P. E. M. (2019) · AIMS Agriculture and Food · doi:10.3934/agrfood.2019.4.854 · Cited by 28
Drought Risk Assessment in Central Asia Using a Probabilistic Copula Function Approach
Zhang, L., Wang, Y., Chen, Y., Bai, Y., & Zhang, Q. (2020) · Water · doi:10.3390/w12020421 · Cited by 28
“Therefore, the related R code [42], which calculates PET through the PM equation, is used in this research.”
MethodNjouenwet, I., Vondou, D. A., Dassou, E. F., Ayugi, B. O., & Nouayou, R. (2021) · Natural Hazards · doi:10.1007/s11069-020-04475-x · Cited by 28
Multi-annual prediction of drought and heat stress to support decision making in the wheat sector
Solaraju-Murali, B., González-Reviriego, N., Caron, L., Ceglar, A., Toreti, A., Zampieri, M., Bretonnière, P.-A., Samsó, M., & Doblas-Reyes, F. J. (2021) · npj Climate and Atmospheric Science · doi:10.1038/s41612-021-00189-4 · Cited by 28
Jiang, L., Chen, Y. D., Li, J., & Liu, C. (2021) · Natural Hazards · doi:10.1007/s11069-021-05071-3 · Cited by 28
“, precipitation) and the exchange of heat and moisture of other regions may also change in a heatwave event (McVicar et al. 2012; Miralles et al. 2019; Sheffield et al. 2012).”
BackgroundEco-hydrological responses to recent droughts in tropical South America
Jiang, Y., Yang, M., Liu, W., Mohammadi, K., & Wang, G. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac507a · Cited by 29
An overall consistent increase of global aridity in 1970–2018
Luo, D., Hu, Z., Dai, L., Hou, G., Di, K., Liang, M., Cao, R., & Zeng, X. H. (2023) · Journal of Geographical Sciences · doi:10.1007/s11442-023-2091-0 · Cited by 32
“the expansion of the area classified as arid or semi-arid (Dai, 2012; Sheffield et al., 2012; Huang et al., 2016a), and the frequency and intensity of droughts are projected to increase as global change continues (Strzepek et al.”
BackgroundWen, Y., Yang, J., Liao, W., Xiao, J., & Yan, S. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.118869 · Cited by 28
An assessment of actual evapotranspiration and soil water deficit in agricultural regions in Europe
Kurnik, B., Kajfež-Bogataj, L., & Horion, S. (2014) · International Journal of Climatology · doi:10.1002/joc.4154 · Cited by 33
Modified Palmer Drought Severity Index Based on Distributed Hydrological Simulation
Yan, D., Shi, X., Yang, Z., Li, Y., Zhao, K., & Yuan, Y. (2013) · Mathematical Problems in Engineering · doi:10.1155/2013/327374 · Cited by 28
Xie, Z., HUETE, A. R., Ma, X., Restrepo‐Coupé, N., Devadas, R., Clarke, K. D., & Lewis, M. M. (2016) · Journal of Hydrology · doi:10.1016/j.jhydrol.2016.11.001 · Cited by 32
Analysis of long‐term dry and wet conditions over Nigeria
Oguntunde, P. G., Lischeid, G., Abiodun, B. J., & Dietrich, O. (2016) · International Journal of Climatology · doi:10.1002/joc.4938 · Cited by 28
“…are attributed to these observations which include the formulation of the drought index used, the input data sets to compute the evapotranspiration component as well as precipitation analysis (Sheffield et al., 2012; Dai, 2013; Van der Schrier et al., © 2016 Royal Meteorological Society Int.”
MethodHerrera-Estrada, J. E., Diffenbaugh, N. S., Wagner, F., Craft, A., & Sheffield, J. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaf07b · Cited by 28
Self-citationShao, M., Fernando, N., Zhu, J., Zhao, G., Kao, S., Zhao, B., Roberts, E., & Gao, H. (2023) · Water Resources Research · doi:10.1029/2022wr034099 · Cited by 27
“The Palmer Drought Severity Index generated from Penman-Monteith potential evapotranspiration calculations (PDSI-PM; Sheffield et al., 2012) was derived during the historical period from the nine GCMs.”
MethodAssessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
Ng, C. Y., Jaafar, W. Z. W., Othman, F. B., Lai, S. H., Mei, Y., & Juneng, L. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.170249 · Cited by 27
Long‐term variability and trends of meteorological droughts in Ukraine
Semenova, I. G., & Vicente-Serrano, S. M. (2024) · International Journal of Climatology · doi:10.1002/joc.8416 · Cited by 36
“For example, studies based on precipitation records do not suggest a large increase in drought severity and frequency in the last decades, and very few regions show a significant trend (Sheffield et al., 2012; Vicente-Serrano et al., 2022).”
BackgroundSun, J., Zhang, Q., Liu, X., Sun, J., Chen, L., Wu, Y., Hu, B., & Zhang, G. (2024) · Weather and Climate Extremes · doi:10.1016/j.wace.2024.100700 · Cited by 27
Payen, T., Murat, C., & Bonito, G. M. (2014) · Advances in botanical research · doi:10.1016/b978-0-12-397940-7.00007-0 · Cited by 27
Abu‐Zied, R. H., & Bantan, R. A. R. (2015) · The Holocene · doi:10.1177/0959683615584204 · Cited by 28
Bonfils, C., Anderson, G. J., Santer, B. D., Phillips, T. J., Taylor, K. E., Cuntz, M., Zelinka, M. D., Marvel, K., Cook, B. I., Cvijanović, I., et al. (2017) · Journal of Climate · doi:10.1175/jcli-d-17-0005.1 · Cited by 27
“…cooling (Pendergrass and Hartmann 2014) and an increase in tropospheric heating, which is largely balanced by a rapid decrease in latent heating and hence global P (Bony et al. 2013; Colman 2015; Kamae et al. 2015; Richardson et al. 2016; Samset et al. 2016; Sherwood 2015; Tian et al. 2017).”
BackgroundChanges in the Mechanisms Causing Rapid Drought Cessation in the Southeastern United States
Maxwell, J. T., Knapp, P., Ortegren, J. T., Ficklin, D. L., & Soulé, P. T. (2017) · Geophysical Research Letters · doi:10.1002/2017gl076261 · Cited by 28
“Many studies suggest that the physically based Penman-Monteith method of estimating PETmore accurately represents drought conditions with PDSI (Dai, 2013; Hoerling et al., 2012; Sheffield et al., 2012).”
MethodHoffman, M. T., Rohde, R., & Gillson, L. (2018) · Anthropocene · doi:10.1016/j.ancene.2018.12.003 · Cited by 27
Crops' exposure, sensitivity and adaptive capacity to drought occurrence
Alonso, C., Gouveia, C. M., Russo, A., & Páscoa, P. (2019) · Natural hazards and earth system sciences · doi:10.5194/nhess-19-2727-2019 · Cited by 27
“High temperatures lead to increased soil water demand due to evapotranspiration (Sheffield et al., 2012; Wang et al., 2012), also promoting dryness (Dai, 2011).”
BackgroundRehana, S., & Monish, N. T. (2020) · Earth and Space Science · doi:10.1029/2020ea001264 · Cited by 27
Nooni, I. K., Hagan, D. F. T., Wang, G., Ullah, W., Li, S., Lu, J., Bhatti, A. S., Shi, X. L., Lou, D., Prempeh, N. A., et al. (2021) · Remote Sensing · doi:10.3390/rs13030533 · Cited by 27
Silencing MdGH3-2/12 in apple reduces drought resistance by regulating AM colonization
Huang, D., Wang, Q., Zhang, Z., Jing, G., Ma, M., Ma, F., & Li, C. (2021) · Horticulture Research · doi:10.1038/s41438-021-00524-z · Cited by 27
Pang, X., Lei, H., Cong, Z., Yang, H., Duan, L., & Yang, D. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108566 · Cited by 27
Impact of Agricultural Drought on Sunflower Production across Hungary
Harsányi, E., Bashir, B., Alsilibe, F., Alsafadi, K., Alsalman, A., Széles, A., Rahman, M. H. U., Bácskai, I., Juhász, C., Rátonyi, T., et al. (2021) · Atmosphere · doi:10.3390/atmos12101339 · Cited by 27
Wang, Z., Zhang, Q., Sun, S., & Wang, P. (2022) · Journal of Climate · doi:10.1175/jcli-d-20-0985.1 · Cited by 27
Wang, H., Zhu, Q., Wang, Y., & Zhang, H. Y. (2023) · Weather and Climate Extremes · doi:10.1016/j.wace.2023.100605 · Cited by 27
Yan, H., Wang, S., Lu, H., Qin, Y., Zhu, Z., Myneni, R. B., Liu, Q., & Shugart, H. H. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd021673 · Cited by 27
“Thus, in revised PDSI models, Thornthwaite EP has been replaced with Penman-Montheith-type EP models [Shuttleworth, 1993; Allen et al., 1994] to take into account radiation, wind speed, and temperature [Burke et al., 2006; Sheffield et al., 2012; van der Schrier et al., 2013].”
BackgroundMethodInfluentialTerrestrial water flux responses to global warming in tropical rainforest areas
Lan, C., Lo, M., Chou, C., & Kumar, S. (2016) · Earth s Future · doi:10.1002/2015ef000350 · Cited by 27
Functional Group, Biomass, and Climate Change Effects on Ecological Drought in Semiarid Grasslands
Wilson, S. D., Schlaepfer, D. R., Bradford, J. B., Lauenroth, W. K., Duniway, M. C., Hall, S. A., Jamiyansharav, K., Jia, G., Lkhagva, A., Munson, S. M., et al. (2018) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2017jg004173 · Cited by 28
Projected Spatiotemporal Dynamics of Drought under Global Warming in Central Asia
Zhang, R., Zhao, C., Ma, X., Brindha, K., Han, Q., Li, C., & Zhao, X. (2019) · Sustainability · doi:10.3390/su11164421 · Cited by 27
“Compared to the PM formula, the use of the TH formula leads to an error in the potential evapotranspiration calculation [71,72], which in turn leads to an overestimation of future drought frequency and risk conditions, which is more pronounced in the context of global warming [68].”
MethodResultSustainability of Engineered Rivers In Arid Lands
Buono, R., & Thomas, S. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108261142 · Cited by 30
Modeling hydrological non-stationarity to analyze environmental impacts on drought propagation
Jehanzaib, M., Ali, S., Kim, M. J., & Kim, T. (2023) · Atmospheric Research · doi:10.1016/j.atmosres.2023.106699 · Cited by 26
Influence of reanalysis datasets on dynamically downscaling the recent past
Moalafhi, D. B., Evans, J. P., & Sharma, A. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3378-y · Cited by 26
“These data have been used successfully in a variety of studies (Hao et al. 2013; Rawlins et al. 2012; Sheffield et al. 2012).”
MethodZhang, B., Long, B., Wu, Z., & Wang, Z. (2016) · Land Degradation and Development · doi:10.1002/ldr.2655 · Cited by 26
“Although the TW equation is convenient for characterizing long-term trend of drought variation (McEvoy et al., 2012), it is too sensitive to T and ignores other factors influencing the dynamics of PET (Sheffield et al., 2012).”
BackgroundInfluentialKlutsch, J. G., Shamoun, S. F., & Erbilgin, N. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189203 · Cited by 26
Guo, W., Liu, H., & Wu, X. (2018) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2018jg004486 · Cited by 26
Alton, P. B. (2020) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2020.108017 · Cited by 26
NAC2H: The North American Climate Change and Hydroclimatology Data Set
Arsenault, R., Brissette, F. P., Chen, J., Guo, Q., & Dallaire, G. (2020) · Water Resources Research · doi:10.1029/2020wr027097 · Cited by 27
“For example, the temperature‐based evapotranspiration formulations used in the models could be too sensitive to temperature increases, which could overestimate evapotranspiration in the future (Sheffield et al., 2012).”
MethodEffect of Various Types of ENSO Events on Moisture Conditions in the Humid and Subhumid Tropics
Gushchina, D. Y., Zheleznova, I. V., Osipov, A., & Olchev, A. (2020) · Atmosphere · doi:10.3390/atmos11121354 · Cited by 30
“Moreover, the potential evapotranspiration in PDSI was derived using the simplified Thornthwaite algorithm, which may result in some overestimation of drought severity, especially in warm climates [66].”
BackgroundMethodRehana, S., & Monish, N. T. (2021) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03521-3 · Cited by 26
“, rainfall, runoff, and soil moisture) from the long-term average conditions affecting millions of people all around the world (Dai 2011; Sheffield et al. 2012).”
BackgroundWei, J., Dong, N., Fersch, B., Arnault, J., Wagner, S., Laux, P., Zhang, Z., Yang, Q., Yang, C., Shang, S., et al. (2021) · Hydrological Processes · doi:10.1002/hyp.14341 · Cited by 26
“…of extreme events, such as, droughts and floods, have been observed in the past (Shankman et al., 2006; Zhou et al., 2020) and is projected F IGURE 10 As in Figure 5, but for the simulated direct evaporation Ed (mm day 1) to continue in the future (Sheffield et al., 2012; Wang, Guo, et al., 2017).”
BackgroundEşit, M., & Yuce, M. I. (2022) · Theoretical and Applied Climatology · doi:10.1007/s00704-022-04317-9 · Cited by 26
“She eld J, Wood EF, Roderick ML (2012) Little change in global drought over the past 60 years.”
BackgroundInfluentialOmondi, O. A., & Lin, Z.-H. (2023) · Frontiers in Earth Science · doi:10.3389/feart.2022.1064940 · Cited by 27
“Many studies reported more frequent and severe droughts in different regions in the 21st century as the global mean surface temperature continues to rise (Sheffield et al., 2012; Cook et al., 2015; Schwalm et al., 2017; Trenberth et al., 2013).”
BackgroundZhang, Y., Hu, X., Zhang, Z., Kong, R., Peng, Z., Zhang, Q., & Chen, X. (2023) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-023-02406-3 · Cited by 27
“…severity over much of the planet (Dai 2011, 2013), Extended author information available on the last page of the article while some studies (e.g., (Sheffield et al. (2012)) have suggested that there has been little change in drought events over the last 60 years, taking into account changes in…”
BackgroundCo-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience
Chen, J., Liu, Z., Mao, J., Zhao, T., Tu, T., Cheng, L., & Dong, C. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/acfccc · Cited by 24
“The Palmer drought severity index (PDSI) that considers precipitation and evapotranspiration is a widely-applied meteorological drought index (Burke 2011, Sheffield et al 2012, Yan et al 2016).”
MethodCharacteristics of dew events in an arid artificial oasis cropland and a sub-humid cropland in China
Meng, Y., & Wen, X. (2016) · Journal of Arid Land · doi:10.1007/s40333-016-0006-y · Cited by 26
Olivas, N. H. D., Frago, E., Thoen, M. P. M., Kloth, K. J., Becker, F. F. M., van Loon, J. J. A., Gort, G., Keurentjes, J. J. B., van Heerwaarden, J., & Dicke, M. (2017) · Molecular Ecology · doi:10.1111/mec.14100 · Cited by 33
“…access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. temperatures, drought and flooding events (Zhao & Running 2010; Sheffield et al. 2012; Wheeler & von Braun 2013).”
BackgroundTrends in ecosystem recovery from drought
Seneviratne, S. I., & Ciais, P. (2017) · Nature · doi:10.1038/548164a · Cited by 26
Moursi, H., Kim, D., & Kaluarachchi, J. J. (2017) · Agricultural Water Management · doi:10.1016/j.agwat.2017.08.010 · Cited by 26
High‐Resolution Regional Reanalysis in China: Evaluation of 1 Year Period Experiments
Zhang, Q., Yinong, P., Wang, S., Xu, J., & Tang, J. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027476 · Cited by 26
Ecosystem water use efficiency response to drought over southwest China
Mokhtar, A., He, H., Alsafadi, K., Mohammed, S., He, W., Li, Y., Zhao, H., Abdullahi, N. M., & Gyasi‐Agyei, Y. (2021) · Ecohydrology · doi:10.1002/eco.2317 · Cited by 26
Kim, Y., García, M., & Johnson, M. S. (2023) · Earth s Future · doi:10.1029/2022ef002886 · Cited by 25
“As such, these PE equations are widely used to predict and analyze changes in drought, aridity, and water availability in relation to a changing climate (Dai, 2013; Greve et al., 2014; Marvel et al., 2019; McEvoy et al., 2020; Milly & Dunne, 2020; Piemontese et al., 2019; Sheffield et al., 2012; Su et al., 2018; Trenb…”
BackgroundSafari, B., & Sebaziga, J. N. (2023) · Atmosphere · doi:10.3390/atmos14091449 · Cited by 25
Mao, R., Li, B., Song, J., Li, Q., Li, N., Long, Y., & Feng, J. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.171712 · Cited by 25
Three Paradoxes Related to Potential Evapotranspiration in a Warming Climate
Wang, K., Bai, P., & Liu, X. (2025) · Current Climate Change Reports · doi:10.1007/s40641-025-00203-4 · Cited by 27
“Existing studies on the ‘drought par-adox’ primarily focus on global average changes in drought indices [4, 38, 39], which serve as proxies for global mean drought conditions.”
Hydroclimate Variations in Central and Monsoonal Asia over the Past 700 Years
Fang, K., Chen, F., Sen, A. K., Davi, N., Huang, W., Li, J., & Seppä, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102751 · Cited by 25
Zipper, S. C., Smith, K. H., Breyer, B., Qiu, J., Kung, A., & Herrmann, D. L. (2017) · Ecology and Society · doi:10.5751/es-09549-220439 · Cited by 25
Raziei, T., & Parehkar, A. (2021) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03578-0 · Cited by 25
Assessment of basin-wise future agricultural drought status across India under changing climate
Suman, M., & Maity, R. (2021) · Journal of Water and Climate Change · doi:10.2166/wcc.2021.369 · Cited by 25
Fooladi, M., Golmohammadi, M., Safavi, H., & Singh, V. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102616 · Cited by 23
Evaluating the Drought-Monitoring Utility of GPM and TRMM Precipitation Products over Mainland China
Cheng, S., Wang, W., & Yu, Z. (2021) · Remote Sensing · doi:10.3390/rs13204153 · Cited by 25
Was Warming Amplified Under Drought Conditions Across China in Observations and Future Projections?
Wang, L., Wang, W. J., Du, H., Shen, X., Wu, Z., Ma, S., Liu, Z., & Jiang, M. (2022) · Earth s Future · doi:10.1029/2021ef002614 · Cited by 25
Water and Food in the Twenty-First Century
de Marsily, G., & Abarca-del-Río, R. (2015) · Surveys in Geophysics · doi:10.1007/s10712-015-9335-1 · Cited by 27
“The current theory is that drought situations will occur in the future (Sheffield and Wood 2011), as they did before, even during the last six decades (Sheffield et al. 2012); droughts are even expected to increase in frequency”
BackgroundIncreasing Northern Hemisphere water deficit
McCabe, G. J., & Wolock, D. M. (2015) · Climatic Change · doi:10.1007/s10584-015-1419-x · Cited by 25
Goswami, U. P., Bhargav, K., Hazra, B., & Goyal, M. K. (2017) · Theoretical and Applied Climatology · doi:10.1007/s00704-017-2288-1 · Cited by 25
“As natural hazards, extreme events such as flood, drought, and heat waves, etc. can have significant negative impacts on human society and ecosystem (Easterling et al. 2000; Sheffield et al. 2012; Trenberth et al. 2014).”
BackgroundCheng, Q., Gao, L., Chen, Y., Liu, M., Deng, H., & Chen, X. (2018) · Advances in Meteorology · doi:10.1155/2018/4721269 · Cited by 25
Tripathi, S., Tiwari, K., Mahra, S., Victoria, J. I., Rana, S., Tripathi, D. K., & Sharma, S. (2024) · Planta · doi:10.1007/s00425-024-04409-y · Cited by 24
“(Sheffield et al. 2012; Trenberth et al. 2014).”
Climate change has increased global evaporative demand except in South Asia
Karimzadeh, S., Ahmadi, A., Baldocchi, D., & Fisher, J. B. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02959-x · Cited by 32
“A similar decline in the evaporative demand pattern in South Asia was reported previously 36 .”
Behrangi, A., Nguyen, H., & Granger, S. L. (2015) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-14-0162.1 · Cited by 24
“Drought is thus expected to occur more often and be more intense in the future as a result of climate change, although the magnitude of the trends has been debated (Sheffield et al. 2012; Trenberth et al. 2013).”
BackgroundPotential Role of Beneficial Soil Microorganisms in Plant Tolerance to Abiotic Stress Factors
Balestrini, R., Chitarra, W., Fotopoulos, V., & Ruocco, M. (2017) · Springer eBooks · doi:10.1007/978-3-319-63336-7_12 · Cited by 25
Chen, H., Wu, M., Duan, Z., Zha, Y., Wang, S., Yang, L., Zou, L., Zheng, M., Chen, P., Cao, W., et al. (2023) · Hydrological Processes · doi:10.1002/hyp.14853 · Cited by 24
“Up till now, quantification of human impacts on groundwater depletion under climate change remains rare, even though the water shortage induced societal and environment risks could happen due to the lack of water supply with project increases in drought frequency (Prudhomme et al., 2014; Seager et al., 2007; Sheffield…”
BackgroundOkkan, U., Fıstıkoğlu, O., Ersoy, Z. B., & Noori, A. T. (2024) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04817-2 · Cited by 24
“Conversely, Sheffield et al. (2012) showed that the Palmer Drought Severity Index behaved differently with Thw and PM, bringing about discrepancies in global drought variations.”
Pan, S., He, Z., Gu, X., Xu, M., Chen, L., Yang, S., & Tan, H. (2024) · Scientific Reports · doi:10.1038/s41598-024-62027-w · Cited by 24
Changing water availability during the African maize-growing season, 1979–2010
Estes, L. D., Chaney, N. W., Herrera-Estrada, J. E., Sheffield, J., Caylor, K. K., & Wood, E. F. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/7/075005 · Cited by 24
“1950s than a variant of the index that incorporates all four Ep drivers [8].”
BackgroundSelf-citationProjecting and Attributing Future Changes of Evaporative Demand over China in CMIP5 Climate Models
Liu, W., & Sun, F. (2017) · Journal of Hydrometeorology · doi:10.1175/jhm-d-16-0204.1 · Cited by 24
“The results are consistent with many studies that related atmospheric evaporative demand (e.g.,Wang et al. 2012) and drought (e.g., Dai 2011, 2013; Sheffield et al. 2012; Vicente-Serrano et al. 2014) to global warming.”
ResultResponses of runoff to historical and future climate variability over China
Wu, C., Hu, B. X., Huang, G., Wang, P., & Xu, K. (2018) · Hydrology and earth system sciences · doi:10.5194/hess-22-1971-2018 · Cited by 24
“78 79 2 Data and methodology 80 2.1 Data sets 81 Monthly data of potential evaporation (PET) covering the period 1960–2008 over China are provided by the 82 Hydroclimatology Group of Princeton University (Sheffield et al., 2006, 2012).”
MethodInfluentialYin, J.-J., Li, H., Rao, Z., Shen, C., Mii, H., Pillutla, R. K., Hu, H., Li, Y.-X., & Feng, X. (2017) · Quaternary International · doi:10.1016/j.quaint.2017.06.039 · Cited by 24
Projected changes of thermal growing season over Northern Eurasia in a 1.5 °C and 2 °C warming world
Zhou, B., Zhai, P., Chen, Y., & Yu, R. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaa6dc · Cited by 28
Mohammed, R. K., & Scholz, M. (2018) · Environmental Earth Sciences · doi:10.1007/s12665-018-7537-9 · Cited by 24
21st century California drought risk linked to model fidelity of the El Niño teleconnection
Allen, R. J., & Anderson, R. G. (2018) · npj Climate and Atmospheric Science · doi:10.1038/s41612-018-0032-x · Cited by 24
Wu, C., Yeh, P. J. ‐., Wu, H., Hu, B. X., & Huang, G. (2019) · Journal of Hydrometeorology · doi:10.1175/jhm-d-19-0065.1 · Cited by 24
Zhao, Q., Ma, X., Yao, W., Liu, Y., Du, Z. P., Yang, P., & Yao, Y. (2019) · Sensors · doi:10.3390/s19245566 · Cited by 24
“found that the TH model overestimated the values of drought monitoring index in global trends over the past 60 years [18].”
BackgroundRelative Contribution of Precipitation and Air Temperature on Dry Season Drying in India, 1951–2018
Mishra, V. K. (2020) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd032998 · Cited by 25
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review