Skip to main content

Advertisement

Log in

Increasing impacts of summer extreme precipitation and heatwaves in eastern China

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

Extreme precipitation events (EPEs) and heatwaves (HWs) can trigger floods, droughts, and other natural disasters, resulting in severe socioeconomic losses in eastern China. However, the accurate links between EPEs and HWs and future changes in these extremes are not fully resolved, which potentially impedes disaster warning and preparedness efforts. This study examines historical and future changes in summer EPEs and HWs in eastern China based on observations and model outputs from the Coupled Model Intercomparison Project Phase 6. The results show that EPEs and HWs in eastern China have increased in the past four decades and are projected to rise in the future. According to multi-model projections, the Yangtze River Basin, along with areas to its south, are expected to experience an increase in compound disasters due to HWs and EPEs. High values of the multi-year mean total population exposure to EPEs and HWs are observed in the North China Plain, Yangtze River Delta, Sichuan Basin, and southeast coast. The total population exposure to EPEs shows a decreasing trend under Shared Socioeconomic Pathway (SSP) 245 and SSP585 scenarios during 2021–2100, consistent with future population decline. However, the annual total population exposure to HWs will increase, reaching nearly 3.0 billion and 5.0 billion by the end of the century under the SSP245 and SSP585 scenarios, respectively. Within the context of global warming, the relationship between the mean-state of precipitation and maximum temperature as well as the relationship between extreme precipitation and heatwaves shift from negative correlation in the historical period to positive correlation in future projections for eastern China.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

The daily 2-m maximum surface air temperature and precipitation are available at http://data.cma.cn/en. The daily climate model outputs are obtained from http://nex-gddp-cmip6.s3.us-west-2.amazonaws.com/index.html#NEX-GDDP-CMIP6. The provincial and gridded population projection for China under SSPs from 2010 to 2100 is downloaded from https://doi.org/10.6084/m9.figshare.c.4605713.v1.

References

  • Allan RP, Soden BJ (2008) Atmospheric warming and the amplification of precipitation extremes. Science 321:1481–1484

    Google Scholar 

  • Bao J, Sherwood SC, Alexander LV et al (2017) Future increases in extreme precipitation exceed observed scaling rates. Nat Clim Chang 7:128–132

    Google Scholar 

  • Boer G (1993) Climate change and the regulation of the surface moisture and energy budgets. Clim Dyn 8:225–239

    Google Scholar 

  • Bonsal BR, Zhang X, Vincent LA et al (2001) Characteristics of daily and extreme temperatures over Canada. J Clim 14:1959–1976

    Google Scholar 

  • Campbell S, Remenyi TA, White CJ et al (2018) Heatwave and health impact research: a global review. Health Place 53:210–218

    Google Scholar 

  • Chen H, Sun J (2019) Increased population exposure to extreme droughts in China due to 0.5 °C of additional warming. Environ Res Lett 14:064011

    Google Scholar 

  • Chen H, Sun J (2021) Significant increase of the global population exposure to increased precipitation extremes in the future. Earths. Future 9(9):e2020EF001941

    Google Scholar 

  • Chen Y, Hu Q, Yang Y et al (2017) Anomaly based analysis of extreme heat waves in Eastern China during 1981–2013. Int J Climatol 37:509–523

    Google Scholar 

  • Chen C, Wang G, Xie S et al (2019) Why does global warming weaken the Gulf Stream but intensify the Kuroshio? J Clim 32:7437–7451

    Google Scholar 

  • Chen Y, Guo F, Wang J et al (2020) Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100. Sci Data 7:83

    Google Scholar 

  • Chen Y, Liao Z, Shi Y et al (2021) Detectable increases in sequential flood-heatwave events across China during 1961-2018. Geophy Res Lett 48(6):e2021GL092549

    Google Scholar 

  • Cloutier-Bisbee SR, Raghavendra A, Milrad SM (2019) Heat waves in Florida: climatology, trends, and related precipitation events. J Appl Meteor Climatol 58:447–466

    Google Scholar 

  • Costa NV, Rodrigues RR (2021) Future summer marine heatwaves in the western south Atlantic. Geophys Res Lett 48:e2021GL094509

    Google Scholar 

  • Coumou D, Rahmstorf S (2012) A decade of weather extremes. Nat Clim Chang 2:491–496

    Google Scholar 

  • Dai A, Li H, Sun Y et al (2013) The relative roles of upper and lower tropospheric thermal contrasts and tropical influences in driving Asian summer monsoons. J Geophys Res: Atmos 118:7024–7045

    Google Scholar 

  • Donat MG, Lowry AL, Alexander LV et al (2016) More extreme precipitation in the world’s dry and wet regions. Nat Clim Chang 6:508–513

    Google Scholar 

  • Dong G, Jiang Z, Tian Z et al (2020) Projecting changes in mean and extreme precipitation over eastern China during 2041–2060. Earth Space Sci 7:e2019EA001024

    Google Scholar 

  • Dosio A, Mentaschi L, Fischer EM et al (2018) Extreme heat waves under 1.5 °C and 2 °C global warming. Environ Res Lett 13:054006

    Google Scholar 

  • Eyring V, Bony S, Meehl G et al (2016) Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci Model Dev 9:1937–1958

    Google Scholar 

  • Feng L, Zhou T, Wu B et al (2011) Projection of future precipitation change over China with a high-resolution global atmospheric model. Adv Atmos Sci 28:464–476

    Google Scholar 

  • Fischer EM, Knutti R (2015) Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes. Nat Clim Chang 5:560–564

    Google Scholar 

  • Fischer EM, Beyerle U, Knutti R (2013) Robust spatially aggregated projections of climate extremes. Nat Clim Chang 3:1033–1038

    Google Scholar 

  • Freychet N, Tett S, Wang J et al (2017) Summer heat waves over Eastern China: dynamical processes and trend attribution. Environ Res Lett 12:024015

    Google Scholar 

  • Gao T, Wang H, Zhou T (2017) Changes of extreme precipitation and nonlinear influence of climate variables over monsoon region in China. Atmos Res 197:379–389

    Google Scholar 

  • Guo X, Huang J, Luo Y et al (2017) Projection of heat waves over China for eight different global warming targets using 12 CMIP5 models. Theor appl climat 128:507–522

    Google Scholar 

  • Guo X, Wu Z, He H et al (2018) Variations in the start, end, and length of extreme precipitation period across China. Int J Climatol 38:2423–2434

    Google Scholar 

  • Guo J, Wang X, Fan Y et al (2023) How extreme events in China would be affected by global warming-insights from a bias-corrected CMIP6 ensemble. Earth’s. Future 11:e2022EF003347

    Google Scholar 

  • Hansen J, Sato M, Ruedy R (2012) Perception of climate change. P Nat Acad Sci 109:E2415–E2423

    Google Scholar 

  • Hobday AJ, Alexander LV, Perkins SE et al (2016) A hierarchical approach to defining marine heatwaves. Prog Oceanogr 141:227–238

    Google Scholar 

  • Hu Z, Yang S, Wu R (2003) Long-term climate variations in China and global warming signals. J Geophys Res: Atmos 108:4614

    Google Scholar 

  • Huang W, He X, Yang Z et al (2018a) Moisture sources for wintertime extreme precipitation events over south China during 1979–2013. J Geophys Res: Atmos 123:6690–6712

    Google Scholar 

  • Huang D, Zhang L, Gao G (2018b) Projected changes in population exposure to extreme heat in China under a RCP8.5 scenario. J Geograph Sci 28(10):1371–1384

    Google Scholar 

  • Hussain M, Mahmud I (2019) pyMannKendall: a python package for non parametric Mann Kendall family of trend tests. J Open Source Software 4(39):1556

    Google Scholar 

  • IPCC (2018) Global warming of 1.5 °C. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp 3–24

    Google Scholar 

  • IPCC (2023) Climate change 2023: synthesis report. In: Contribution of working groups I, II and III to the sixth assessment report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland, pp 1–34

    Google Scholar 

  • Jiang Z, Li W, Xu J et al (2015) Extreme precipitation indices over China in CMIP5 models. Part I: Model evaluation J Clim 28:8603–8619

    Google Scholar 

  • Kong Q, Guerreiro SB, Blenkinsop S et al (2020) Increases in summertime concurrent drought and heatwave in Eastern China. Weather Clim Extremes 28:100242

    Google Scholar 

  • Lau NC, Nath MJ (2012) A model study of heat waves over North America: meteorological aspects and projections for the twenty-first century. J Clim 25:4761–4784

    Google Scholar 

  • Li W, Jiang Z, Zhang X et al (2018) Additional risk in extreme precipitation in China from 1.5 °C to 2.0 °C global warming levels. Sci Bull 63:228–234

    Google Scholar 

  • Li Z, Guo X, Yang Y et al (2019a) Heatwave trends and the population exposure over China in the 21st century as well as under 1.5° C and 2.0° C global warmer future scenarios. Sustainability 11:3318

    Google Scholar 

  • Li Y, Ren G, Wang Q et al (2019b) More extreme marine heatwaves in the China Seas during the global warming hiatus. Environ Res Lett 14:104010

    Google Scholar 

  • Li K, Wang M, Liu K (2021) The study on compound drought and heatwave events in China using complex networks. Sustainability 13(22):12774

    Google Scholar 

  • Liu R, Liu S, Cicerone RJ et al (2015) Trends of extreme precipitation in eastern China and their possible causes. Adv Atmos Sci 32:1027–1037

    Google Scholar 

  • Luo M, Lau NC (2017) Heat waves in southern China: synoptic behavior, long-term change, and urbanization effects. J Clim 30:703–720

    Google Scholar 

  • Ma S, Zhou T, Dai A et al (2015) Observed changes in the distributions of daily precipitation frequency and amount over China from 1960 to 2013. J Clim 28:6960–6978

    Google Scholar 

  • Ma S, Zhou T, Stone DA et al (2017) Attribution of the July–August 2013 heat event in central and eastern China to anthropogenic greenhouse gas emissions. Environ Res Lett 12:054020

    Google Scholar 

  • Madakumbura GD, Thackeray CW, Norris J et al (2021) Anthropogenic influence on extreme precipitation over global land area seen in multiple observational datasets. Nat Commun 12:3944

    Google Scholar 

  • Meng Y, Hao Z, Feng S et al (2022) Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China. Environ Res Lett 17:104005

    Google Scholar 

  • Ning G, Luo M, Zhang W et al (2022) Rising risks of compound extreme heat-precipitation events in China. Int J Climatol 42:5785–5795

    Google Scholar 

  • O'Gorman PA, Schneider T (2009) The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. P Nat Acad Sci 106:14773–14777

    Google Scholar 

  • Pall P, Allen M, Stone DA (2007) Testing the Clausius–Clapeyron constraint on changes in extreme precipitation under CO2 warming. Clim Dyn 28:351–363

    Google Scholar 

  • Pan J, Feng X, Lai W et al (2018) Barrier effects of the Kuroshio current on the East Asian northerly monsoon: a sensitivity analysis. Sci Rep 8:18044

    Google Scholar 

  • Perkins S, Alexander L, Nairn J (2012) Increasing frequency, intensity and duration of observed global heatwaves and warm spells. Geophys Res Lett 39:L20714

    Google Scholar 

  • Perkins-Kirkpatrick S, Lewis SC (2020) Increasing trends in regional heatwaves. Nat Commun 11:3357

    Google Scholar 

  • Raghavendra A, Dai A, Milrad SM et al (2019) Floridian heatwaves and extreme precipitation: future climate projections. Clim Dyn 52:495–508

    Google Scholar 

  • Simpkins G (2017) Progress in climate modelling. Nat Clim Chang 7:684–685

    Google Scholar 

  • Stott PA, Stone DA, Allen MR (2004) Human contribution to the European heatwave of 2003. Nature 432:610–614

    Google Scholar 

  • Sun J, Ao J (2013) Changes in precipitation and extreme precipitation in a warming environment in China. Chinese Sci Bull 58:1395–1401

    Google Scholar 

  • Sun Y, Zhang X, Zwiers FW et al (2014) Rapid increase in the risk of extreme summer heat in Eastern China. Nat Clim Chang 4:1082–1085

    Google Scholar 

  • Sun S, Dai T, Wang Z et al (2021) Projected increases in population exposure of daily climate extremes in eastern China by 2050. Adv Clim Change Res 12(6):804–813

    Google Scholar 

  • Tang B, Hu W (2022) Significant increase in population exposure to extreme precipitation in South China and Indochina in the future. Sustainability 14(10):5784

    Google Scholar 

  • Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res: Atmos 106:7183–7192

    Google Scholar 

  • Thackeray CW, Hall A, Norris J et al (2022) Constraining the increased frequency of global precipitation extremes under warming. Nat Clim Chang 12:441–448

    Google Scholar 

  • Thrasher B, Wang W, Michaelis A et al (2022) NASA global daily downscaled projections, CMIP6. Sci Data 9(1):262

    Google Scholar 

  • Trenberth KE, Shea DJ (2005) Relationships between precipitation and surface temperature. Geophys Res Lett 32:L14703

    Google Scholar 

  • Trenberth KE, Dai A, Rasmussen RM et al (2003) The changing character of precipitation. Bull Am Meteorol Soc 84:1205–1218

    Google Scholar 

  • Utsumi N, Seto S, Kanae S (2011) Does higher surface temperature intensify extreme precipitation? Geophys Res Lett 38:L16708

    Google Scholar 

  • Wang Y, Zhou L (2005) Observed trends in extreme precipitation events in China during 1961–2001 and the associated changes in large-scale circulation. Geophys Res Lett 32:L09707

    Google Scholar 

  • Wang P, Tang J, Sun X et al (2017) Heat waves in China: definitions, leading patterns, and connections to large-scale atmospheric circulation and SSTs. J Geophys Res: Atmos 112:10679–10699

    Google Scholar 

  • Wang P, Hui P, Xue D et al (2019) Future projection of heat waves over China under global warming within the CORDEX-EA-II project. Clim Dyn 53:957–973

    Google Scholar 

  • Wang L, Rohli RV, Lin Q et al (2022) Impact of extreme heatwaves on population exposure in China due to additional warming. Sustainability 14(18):11458

    Google Scholar 

  • Wei J, Wang W, Shao Q et al (2020) Heat wave variations across China tied to global SST modes. J Geophys Res: Atmos 125:e2019JD031612

    Google Scholar 

  • Westra S, Alexander LV, Zwiers FW (2013) Global increasing trends in annual maximum daily precipitation. J Clim 26:3904–3918

    Google Scholar 

  • Wu X, Guo S, Yin J et al (2018) On the event-based extreme precipitation across China: time distribution patterns, trends, and return levels. J Hydrol 562:305–317

    Google Scholar 

  • Xu X (2017) The 1 km grid dataset of China’s population spatial distribution. https://www.resdc.cn/DOI/DOI.aspx?DOIid=32.

    Google Scholar 

  • Yao Y, Wang C (2021) Variations in summer marine heatwaves in the south China sea. J Geophys Res: Oceans 126:e2021JC017792

    Google Scholar 

  • Zhang W, Zhou T (2020) Increasing impacts from extreme precipitation on population over China with global warming. Sci Bull 65:243–252

    Google Scholar 

  • Zhang W, Pan S, Cao L et al (2015) Changes in extreme climate events in eastern China during 1960–2013: a case study of the Huaihe River Basin. Quatern Int 380:22–34

    Google Scholar 

  • Zhang Q, Zheng Y, Singh VP et al (2017) Summer extreme precipitation in eastern China: mechanisms and impacts. J Geophys Res: Atmos 122:2766–2778

    Google Scholar 

  • Zhang W, Kirtman B, Siqueira L et al (2022) Decadal variability of southeast US rainfall in an eddying global coupled model. Geophys Res Lett 49:e2021GL096709

    Google Scholar 

  • Zheng J, Wang C (2019) Hot summers in the Northern Hemisphere. Geophys Res Lett 46:10891–10900

    Google Scholar 

  • Zhu Y, Wang H, Zhou W et al (2011) Recent changes in the summer precipitation pattern in East China and the background circulation. Clim Dyn 36:1463–1473

    Google Scholar 

Download references

Funding

This research is supported by the National Key R&D Program of China (2019YFA0606701), the National Natural Science Foundation of China (42192562, 41731173, and 42106202), the Independent Research Project Program of State Key Laboratory of Tropical Oceanography (LTOZZ2201), and the Development Fund of SCS Institute of Oceanology of the Chinese Academy of Sciences (SCSIO202208).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: Y. Yao; methodology: Y. Yao; formal analysis and investigation: W. Zhang; writing—original draft preparation: Y. Yao; writing—review and editing: W. Zhang and B. Kirtman.

Corresponding author

Correspondence to Wei Zhang.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 4.80 mb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yao, Y., Zhang, W. & Kirtman, B. Increasing impacts of summer extreme precipitation and heatwaves in eastern China. Climatic Change 176, 131 (2023). https://doi.org/10.1007/s10584-023-03610-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10584-023-03610-4

Keywords

Navigation