Abstract
Substantial warming occurred across North America, Europe and the Arctic over the early twentieth century1, including an increase in global drought2, that was partially forced by rising greenhouse gases (GHGs)3. The period included the 1930s Dust Bowl drought4,5,6,7 across North America’s Great Plains that caused widespread crop failures4,8, large dust storms9 and considerable out-migration10. This coincided with the central United States experiencing its hottest summers of the twentieth century11,12 in 1934 and 1936, with over 40 heatwave days and maximum temperatures surpassing 44 °C at some locations13,14. Here we use a large-ensemble regional modelling framework to show that GHG increases caused slightly enhanced heatwave activity over the eastern United States during 1934 and 1936. Instead of asking how a present-day heatwave would behave in a world without climate warming, we ask how these 1930s heatwaves would behave with present-day GHGs. Heatwave activity in similarly rare events would be much larger under today’s atmospheric GHG forcing and the return period of a 1-in-100-year heatwave summer (as observed in 1936) would be reduced to about 1-in-40 years. A key driver of the increasing heatwave activity and intensity is reduced evaporative cooling and increased sensible heating during dry springs and summers.
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Data availability
Source Data for Figs. 3 and 4 are available with the manuscript, and Source Data for Figs. 1, 3 and 4 as well as Extended Data Fig. 3 are available at https://github.com/tcowan80/Cowan_et_al_2020_DustBowl_GHG. The BEST gridded product can be downloaded from http://berkeleyearth.org/. The GHCN-D archive can be accessed from ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/by_year/. The WAH2 experiments were coordinated through the Environmental Change Institute at the University of Oxford and can be made available on request.
Code availability
The code to generate the main figures and Extended Data figures is available at: https://github.com/tcowan80/Cowan_et_al_2020_DustBowl_GHG. The code to calculate weather analogues, including installation, is publicly available from https://github.com/sradanov/castf90. Information on its use is available at https://flyingpigeon.readthedocs.io/en/latest/processes_des.html. All supplementary figure code is available on request. Spatial plots are produced using NCAR Command Language (v.6.4.0; https://doi.org/10.5065/D6WD3XH5). Return period two-dimensional plots are generated using Grace v.5.1.25 (http://plasma-gate.weizmann.ac.il/Grace/).
References
Hegerl, G. C., Brönnimann, S., Schurer, A. & Cowan, T. The early 20th century warming: anomalies, causes, and consequences. WIREs Clim. Change 9, e522 (2018).
Marvel, K. et al. Twentieth-century hydroclimate changes consistent with human influence. Nature 569, 59–65 (2019).
Hegerl, G. et al. Causes of climate change over the historical record. Environ. Res. Lett. 14, 123006 (2019).
Worster, D. Dust Bowl: The Southern Plains in the 1930s (Oxford Univ. Press, 1979).
Schubert, S. D., Suarez, M. J., Pegion, P. J., Koster, R. D. & Bacmeister, J. T. Causes of long-term drought in the U.S. Great Plains. J. Clim. 17, 485–503 (2004).
Brönnimann, S. et al. Exceptional atmospheric circulation during the ‘Dust Bowl’. Geophys. Res. Lett. 36, L08802 (2009).
Hoerling, M., Quan, X.-W. & Eischeid, J. Distinct causes for two principal U.S. droughts of the 20th century. Geophys. Res. Lett. 36, L19708 (2009).
Glotter, M. & Elliott, J. Simulating US agriculture in a modern Dust Bowl drought. Nat. Plants 3, 16193 (2016).
Cook, B. I., Seager, R. & Smerdon, J. E. The worst North American drought year of the last millennium: 1934. Geophys. Res. Lett. 41, 7298–7305 (2014).
Gutmann, M. P. et al. Migration in the 1930s: beyond the Dust Bowl. Soc. Sci. Hist. 40, 707–740 (2016).
DeGaetano, A. T. & Allen, R. J. Trends in twentieth-century temperature extremes across the United States. J. Clim. 15, 3188–3205 (2002).
Abatzoglou, J. T. & Barbero, R. Observed and projected changes in absolute temperature records across the contiguous United States. Geophys. Res. Lett. 41, 6501–6508 (2014).
Kohler, J. P. Weather of 1936 in the United States. Mon. Weather Rev. 65, 12–16 (1937).
Cowan, T. et al. Factors contributing to record-breaking heat waves over the Great Plains during the 1930s Dust Bowl. J. Clim. 30, 2437–2461 (2017).
State of the Climate: National Climate Report for August 2018 (NOAA, 2018).
Cook, B. I., Miller, R. L. & Seager, R. Amplification of the North American ‘Dust Bowl’ drought through human-induced land degradation. Proc. Natl Acad. Sci. USA 106, 4997–5001 (2009).
Donat, M. G. et al. Extraordinary heat during the 1930s US Dust Bowl and associated large-scale conditions. Clim. Dynam. 46, 413–426 (2016).
King, A. D. et al. Emergence of heat extremes attributable to anthropogenic influences. Geophys. Res. Lett. 43, 3438–3443 (2016).
Otto, F. E. L. Attribution of weather and climate events. Annu. Rev. Environ. Resour. 42, 627–646 (2017).
Guillod, B. P. et al. weather@home 2: validation of an improved global–regional climate modelling system. Geosci. Model Dev. 10, 1849–1872 (2017).
Undorf, S., Bollasina, M. A. & Hegerl, G. C. Impacts of the 1900–74 increase in anthropogenic aerosol emissions from North America and Europe on Eurasian summer climate. J. Clim. 31, 8381–8399 (2018).
Cook, B. I., Seager, R. & Miller, R. L. Atmospheric circulation anomalies during two persistent North American droughts: 1932–1939 and 1948–1957. Clim. Dynam. 36, 2339–2355 (2011).
Donat, M. G., Pitman, A. J. & Seneviratne, S. I. Regional warming of hot extremes accelerated by surface energy fluxes. Geophys. Res. Lett. 44, 7011–7019 (2018).
Hu, Z. & Huang, B. Interferential Impact of ENSO and PDO on dry and wet conditions in the U.S. Great Plains. J. Clim. 22, 6047–6065 (2009).
Kenyon, J. & Hegerl, G. Influence of modes of climate variability on global temperature extremes. J. Clim. 21, 3872–3889 (2008).
Ukkola, A. M., Pitman, A. J., Donat, M. G., De Kauwe, M. G. & Angélil, O. Evaluating the contribution of land–atmosphere coupling to heat extremes in CMIP5 models. Geophys. Res. Lett. 45, 9003–9012 (2018).
Mueller, N. D. et al. Cooling of US Midwest summer temperature extremes from cropland intensification. Nat. Clim. Change 6, 317–322 (2016).
Thiery, W. et al. Present-day irrigation mitigates heat extremes. J. Geophys. Res. 122, 1403–1422 (2017).
Alter, R. E., Douglas, H. C., Winter, J. M. & Eltahir, E. A. B. Twentieth century regional climate change during the summer in the central United States attributed to agricultural intensification. Geophys. Res. Lett. 45, 1586–1594 (2018).
Cook, B. I., Miller, R. L. & Seager, R. Dust and sea surface temperature forcing of the 1930s “Dust Bowl” drought. Geophys. Res. Lett. 35, L08710 (2008).
Scanlon, B. R. et al. Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley. Proc. Natl Acad. Sci. USA 109, 9320–9325 (2012).
Diffenbaugh, N. S. & Ashfaq, M. Intensification of hot extremes in the United States. Geophys. Res. Lett. 37, 1–5 (2010).
Mann, H. B. & Whitney, D. R. On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Stat. 18, 50–60 (1947).
Perkins, S. E. & Alexander, L. V. On the measurement of heat waves. J. Clim. 26, 4500–4517 (2012).
Grotjahn, R. et al. North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Clim. Dynam. 46, 1151–1184 (2016).
Gross, M. H., Alexander, L. V., Macadam, I., Green, D. & Evans, J. P. The representation of health-relevant heatwave characteristics in a regional climate model ensemble for New South Wales and the Australian Capital Territory, Australia. Int. J. Climatol. 37, 1195–1210 (2017).
Menne, M. J., Durre, I., Vose, R. S., Gleason, B. E. & Houston, T. G. An overview of the Global Historical Climatology Network-Daily database. J. Atmos. Oceanic Technol. 29, 897–910 (2012).
Rohde, R. et al. A new estimate of the average earth surface land temperature spanning 1753 to 2011. Geoinfor. Geostat. An Overview 1, 1 (2013).
Haustein, K. et al. Real-time extreme weather event attribution with forecast seasonal SSTs. Environ. Res. Lett. 11, 064006 (2016).
Wilks, D. S. On ‘field significance’ and the false discovery rate. J. Appl. Meteorol. Climatol. 45, 1181–1189 (2006).
Jézéquel, A., Yiou, P. & Radanovics, S. Role of circulation in European heatwaves using flow analogues. Clim. Dynam. 50, 1145–1159 (2018).
Compo, G. P. et al. The twentieth century reanalysis project. Q. J. R. Meteorol. Soc. 137, 1–28 (2011).
Acknowledgements
This study forms part of the Transition into the Anthropocene project, funded by European Research Council Advanced grant no. EC-320691 and was further supported by the EUCLEIA project funded by the European Union’s Seventh Framework Programme (FP7/200713) under grant agreement no. 607085 and the EUPHEME ERA4CS grant no. 690462 and the Sigrist Foundation. G.H. was also supported by the Wolfson Foundation and the Royal Society as a Royal Society Wolfson Research Merit Award holder (WM130060). T.C. was also supported by the Northern Australian Climate Program, with funding provided by Meat and Livestock Australia, the Queensland Government and University of Southern Queensland. S.U. was also supported by the Horizon 2020 project EUCP.
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T.C. and G.H. designed the study. F.O. and L.H. designed the model experiments. L.H. conducted the model experiments. T.C. performed the analysis and wrote the first draft. S.U. provided analysis for the Pacific and Atlantic decadal variations. All authors helped in the discussions, writing, editing and revising.
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Peer review information Nature Climate Change thanks Markus Donat, Deepti Singh and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Extended data
Extended Data Fig. 1 Observed Dust Bowl heatwave conditions in 1934.
A comparison between observations from (left) Global Historical Climatology Network-Daily (GHCN-D) stations, and (right) Berkley Earth Surface Temperature (BEST) for summer heatwave conditions averaged over 1934. These include a, b heatwave frequency (HWF), c, d, heatwave duration (HWD), and e, f, heatwave amplitude (HWA). The heatwave metrics are calculated against a 1920–2012 reference period. The outlined GHCN-D stations are those where 1934 was the year with the most heatwave days, and the longest and hottest events.
Extended Data Fig. 2 Comparison of simulated heatwave frequency between 1931 and 2015.
a–c, Average over top 200 ranked experiments that simulate the most summer heatwave days over the central US in 1931 for a, WAH21930s, b, WAH2PD; compared to c, WAH22015. d–f, Average over the bottom ranked experiments for d, WAH21930s, e, WAH2PD; compared to f, WAH22015.
Extended Data Fig. 3 Spatial maps of return period of the observed 1934 and 1936 HWF.
Return period of summer HWF for (a–c) 1934 and (d–f) 1936, for a, d, WAH21930s, b, e, WAH2PD, and c, f, WAH22015.
Supplementary information
Supplementary Information
Supplementary Figs. 1–9.
Source data
Source Data Fig. 3
Source data for series plots in Fig. 3.
Source Data Fig. 4
Source data for return period plots in Fig. 4.
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Cowan, T., Undorf, S., Hegerl, G.C. et al. Present-day greenhouse gases could cause more frequent and longer Dust Bowl heatwaves. Nat. Clim. Chang. 10, 505–510 (2020). https://doi.org/10.1038/s41558-020-0771-7
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DOI: https://doi.org/10.1038/s41558-020-0771-7
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