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Multistage spatiotemporal variability of temperature extremes over South China from 1961 to 2018

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Abstract

The variability of air temperature extremes exerts a great influence on agricultural production and the global hydrologic cycle. It has been the focus of attention for the past several decades. Using observed surface air temperature from 192 meteorological stations in South China maintained by the China Meteorological Administration, this study computed and analyzed 10 extreme temperature indices and the mean temperature at multiple spatiotemporal scales for the period from 1961 to 2018. These indices were analyzed with particular reference to the growing season of rice. Results showed that the variation trends of all annual indices exhibited different north–south patterns across decades, and the most recent 20-year period experienced greater warming than previous periods. The regional averaged rates of the annual mean maximum temperature, the annual mean minimum temperature, summer days, and tropical nights were 0.163 °C decade−1, 0.197 °C decade−1, 1.2 days decade−1, and 5.4 days decade−1, respectively. Except for the month of April, the southern region mostly experienced stronger warming than the northern region, especially in summer and autumn. Nighttime warming was usually greater than daytime warming, especially in June and October. Most temperature indices showed very weak correlations with large-scale atmospheric oscillations.

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Data availability

All the data are available in the public domain at the links provided in the texts.

Code availability

The codes used for the processing of data can be provided on request to the corresponding author.

References

  • Abera TA, Heiskanen J, Pellikka P, Maeda EE (2020) Impact of rainfall extremes on energy exchange and surface temperature anomalies across biomes in the Horn of Africa. Agric For Meteorol 280:107779

    Article  Google Scholar 

  • Brown SJ, Caesar J, Ferro CAT (2008) Global changes in extreme daily temperature since 1950. J Geophys Res 113:D05115

    Google Scholar 

  • Chapman S, Watson JEM, Salazar A et al (2017) The impact of urbanization and climate change on urban temperatures: a systematic review. Landscape Ecol 32:1921–1935

    Article  Google Scholar 

  • Chen W, Zhu D, Huang C et al (2019) Negative extreme events in gross primary productivity and their drivers in China during the past three decades. Agric for Meteorol 275:47–58

    Article  Google Scholar 

  • Chen Y, Zhang L, Qian H (2016) Variation characteristics and spatial differences of extremely high temperature days over South China during the recent 53 Years. Trop Geogr 36(4):692–699

    Google Scholar 

  • Diffenbaugh NS, Singh D, Mankin JS et al (2017) Quantifying the influence of global warming on unprecedented extreme climate events. Proc Natl Acad Sci 114(19):4881–4886

    Article  Google Scholar 

  • Easterling DR, Alexander LV, Mokssit A, Detemmerman V (2003) CCI/CLIVAR workshop to develop priority climate indices. Bull Am Meteor Soc 84(10):1403–1407

    Article  Google Scholar 

  • Eck MA, Murraya AR, Wardc AR et al (2020) Influence of growing season temperature and precipitation anomalies on crop yield in the southeastern United States. Agric For Meteorol 291:108053

    Article  Google Scholar 

  • Fischer T, Gemmer M, Liu L, Su B (2010) Trends in monthly temperature and precipitation extremes in the Zhujiang River Basin, South China (1961–2007). Adv Clim Chang Res 1(2):63–70

    Article  Google Scholar 

  • Fischer EM, Knutti R (2015) Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes. Nat Clim Chang 5(6):560–564

    Article  Google Scholar 

  • Gao M, Franzke CL (2017) Quantile regression–based spatiotemporal analysis of extreme temperature change in China. J Clim 30(24):9897–9914

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M and Miller HL (Eds.). Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

  • KarimzadehSoureshjani H, GhorbaniDehkordi A, Bahador M (2019) Temperature effect on yield of winter and spring irrigated crops. Agric For Meteorol 279:107664

    Article  Google Scholar 

  • Li QX, Dong WJ, Li W et al (2010) Assessment of the uncertainties in temperature change in China during the last century. Chin Sci Bull 55(19):1974–1982

    Article  Google Scholar 

  • Lobell DB, Hammer GL, McLean G et al (2013) The critical role of extreme heat for maize production in the United States. Nat Clim Chang 3(5):497–501

  • Lobell DB, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333(6042):616–620

    Article  Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica J Econometric Soc 13:245–259

    Article  Google Scholar 

  • Moriondo M, Giannakopoulos C, Bindi M (2011) Climate change impact assessment: the role of climate extremes in crop yield simulation. Clim Change 104(3–4):679–701

    Article  Google Scholar 

  • Niu Z, Wang L, Fang L et al (2020) Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961–2014 based on high-density gauge observations. Int J Climatol 40(1):1–21

    Article  Google Scholar 

  • Peng S, Huang J, Sheehy JE et al (2004) Rice yields decline with higher night temperature from global warming. Proc Natl Acad Sci 101(27):9971–9975

    Article  Google Scholar 

  • Peng S, Piao S, Ciais P et al (2013) Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation. Nature 501:88–92

    Article  Google Scholar 

  • Piao S, Ciais P, Huang Y et al (2010) The impacts of climate change on water resources and agriculture in China. Nature 467(7311):43–51

    Article  Google Scholar 

  • Rosenzweig C, Elliott J, Deryng D et al (2014) Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc Natl Acad Sci 111(9):3268–3273

    Article  Google Scholar 

  • Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63(324):1379–1389

    Article  Google Scholar 

  • Shi J, Cui L, Ma Y et al (2018) Trends in temperature extremes and their association with circulation patterns in China during 1961–2015. Atmos Res 212:259–272

    Article  Google Scholar 

  • Shi PJ, Sun S, Wang M et al (2014) Climate change regionalization in China (1961–2010). Sci China Earth Sci 57(11):2676–2689

    Article  Google Scholar 

  • Sun W, Huang Y (2011) Global warming over the period 1961–2008 did not increase high-temperature stress but did reduce low-temperature stress in irrigated rice across China. Agric for Meteorol 151(9):1193–1201

    Article  Google Scholar 

  • Sun Y, Zhang XB, Ren GY et al (2016) Contribution of urbanization to warming in China. Nat Clim Chang 6:706–709

    Article  Google Scholar 

  • Sun Y, Zhang XB, Zwiers FW et al (2014) Rapid increase in the risk of extreme summer heat in Eastern China. Nat Clim Chang 4(12):1082–1085

    Article  Google Scholar 

  • Tong S, Li X, Zhang J et al (2019) Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia (China) during 1960–2017. Sci Total Environ 649:75–89

    Article  Google Scholar 

  • Wei K, Chen W (2009) Climatology and trend of high temperature extremes across China in summer. Atmos Oceanic Sci Lett 2(3):153–158

    Article  Google Scholar 

  • Wu CH, Huang GR (2016) Projection of climate extremes in the Zhujiang River basin using a regional climate. Int J Climatol 36:1184–1196

    Article  Google Scholar 

  • Wu X, Hao Z, Hao F, Zhang X (2019) Variations of compound precipitation and temperature extremes in China during 1961–2014. Sci Total Environ 663:731–737

    Article  Google Scholar 

  • Yu ZW, Yao YW, Yang GY et al (2019) Spatiotemporal patterns and characteristics of remotely sensed region heat islands during the rapid urbanization (1995–2015) of southern China. Sci Total Environ 674:242–254

    Article  Google Scholar 

  • Zhang Q, Li JF, Chen YD, Chen X (2011) Observed changes of temperature extremes during 1960–2005 in China: natural or human-induced variations? Theoret Appl Climatol 106(3–4):417–431

    Article  Google Scholar 

  • Zhang Q, Li JF, Singh VP, Xiao M (2013) Spatio-temporal relations between temperature and precipitation regimes: implications for temperature-induced changes in the hydrological cycle. Glob Planet Chang 111:57–76

    Article  Google Scholar 

  • Zhang S, Tao FL, Zhang Z (2016) Changes in extreme temperatures and their impacts on rice yields in southern China from 1981 to 2009. Field Crop Res 189:43–50

    Article  Google Scholar 

  • Zhang W, Jin FF, Turner A (2014) Increasing autumn drought over southern China associated with ENSO regime shift. Geophys Res Lett 41(11):4020–4026

    Article  Google Scholar 

  • Zhao N, Jiao Y, Ma T et al (2019) Estimating the effect of urbanization on extreme climate events in the Beijing-Tianjin-Hebei region, China. Sci Total Environ 688:1005–1015

    Article  Google Scholar 

  • Zhao XL, Zhang ZX, Wang X et al (2014) Analysis of Chinese cultivated land’s spatial temporal changes and causes in recent 30 years. Trans Chin Soc Agric Eng 30(3):1–11 (In Chinese)

    Google Scholar 

Download references

Acknowledgements

We would like to thank the China Meteorological Administration (CMA) for providing the meteorological data.

Funding

This work was supported by the National Natural Science Foundation of China (grant number 42005142, 41605118) and the Key Science and Technology Planning Project of Guangdong Province (grant number 2019B020214003).

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Leidi Wang and Fei Hu analyzed the data and wrote the paper. Jing Hu and Chen Chen assisted in data processing and analysis and interpreted the results. Xian Liu and Dingling Zhang assisted in drawing and writing the original draft. Tingting Chen and Yuchen Miao participated in data curation and validation. Lei Zhang designed the study and participated in writing-editing.

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Correspondence to Lei Zhang.

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Wang, L., Hu, F., Hu, J. et al. Multistage spatiotemporal variability of temperature extremes over South China from 1961 to 2018. Theor Appl Climatol 146, 243–256 (2021). https://doi.org/10.1007/s00704-021-03728-4

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  • DOI: https://doi.org/10.1007/s00704-021-03728-4

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