2022, Volume 24, Issue 5
Strategic Study of CAE >> 2022, Volume 24, Issue 5 doi: 10.15302/J-SSCAE-2022.05.014
Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China
1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China;
2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China;
3. Yangtze Institute for Conservation and Development, Nanjing 210098, China;
4. Research Center for Climate Change of Ministry of Water Resources, Nanjing 210029, China;
5. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
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Abstract
Extreme events occur frequently in China against the background of global warming. Understanding the spatiotemporal variation of extreme events and predicting their future trends can provide a theoretical basis for formulating regional strategies that adapt to climate change. Using the CN05.1 grid meteorological data and eleven global climate models based on Coupled Model Intercomparison Project Phase 6 (CMIP6), we analyzed the evolution characteristics of extreme precipitation and high temperature events in China from 1975 to 2014, predicted the evolution of extreme events from 2015 to 2054, and proposes policy suggestions for dealing with these events. The results indicate that, from 1975 to 2014, the heavy precipitation exhibited an increasing-decreasing-increasing pattern from the northwest to southeast region of China, and the risk and catastrophability of extreme precipitation in regions located to the east of the Hu Line were great. Under SSP1-2.6 and SSP5-8.5 climate change scenarios, extreme precipitation in China will generally increase and become stronger by 2054, with a significant increase in North and Northeast China and a further increase in Northwest China. From 1975 to 2014, the number of warm nights and warm days in China increased significantly, and the increase in warm nights was higher than that of warm days. Under the SSP1-2.6 and SSP5-8.5 climate change scenarios, extreme heat events in China will increase significantly by 2054, with the greatest increase in Northwest, Southwest, and South China. To mitigate the impact of climate change and cope with the risk of extreme events in the future, China should further improve its response and emergency management capacities for dealing with flood and extreme heat risks, strengthen international cooperation, and formulate strategies adapted to local conditions.
Keywords
climate change ; extreme event ; CMIP6 ; extreme disaster response
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References
[ 1 ] Blunden J, Boyer T. State of the Climate in 2021[J]. Bulletin of the American Meteorological Society, 2022, 103(8).
[ 2 ] Eckstein D, Künzel V, Schäfer L. Global climate risk index 2021 [EB/OL]. (2021-01-25) [2022-07-20]. link1
[ 3 ] Blöschl G, Hall J, Viglione A, et al. Changing climate both increases and decreases European river floods [J]. Nature, 2019, 573(7772): 108–111.
[ 4 ] Kraaijenbrink P D A, Bierkens M F P, Lutz A F, et al. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers [J]. Nature, 2017, 549(7671): 257–260.
[ 5 ] Zhai P M, Zhou B Q, Chen Y, et al. Several new understandings in the climate change science [J]. Climate Change Research, 2021, 17(6): 629–635. Chinese.
[ 6 ] Yin J B, Guo S L, Gu L, et al. Thermodynamic response of precipitation extremes to climate change and its impacts on floods over China [J]. Chinese Science Bulletin, 2021, 66(33): 4315–4325. Chinese.
[ 7 ] Wang Y, Wang A, Zhai J, et al. Tens of thousands additional deaths annually in cities of China between 1.5 C and 2.0 C warming [J]. Nature Communications, 2019, 10(1): 1–7.
[ 8 ] The United Nations, The United Nations Framework Convention on Climate Change(UNFCCC). Adoption of the Paris Agreement [EB/OL]. (2015-12-12) [2022-07-20]. link1
[ 9 ] Samset B H, Zhou C, Fuglestvedt J S, et al. Earlier emergence of a temperature response to mitigation by filtering annual variability [J]. Nature Communications, 2022, 13(1): 1–9.
[10] Dvorak M T, Armour K C, Frierson D M W, et al. Estimating the timing of geophysical commitment to 1.5 and 2.0 ℃ of global warming [J]. Nature Climate Change, 2022, 12: 547–552.
[11] Zhuang Y H, Zhang J Y, Liang J. Projected temperature and precipitation changes over major land regions of the Belt and Road initiative under the 1.5 ℃ and 2 ℃ climate targets by the CMIP6 multi-model ensemble [J]. Climatic and Environmental Research, 2021, 26 (4): 374−390. Chinese.
[12] Luo N, Guo Y, Gao Z, et al. Assessment of CMIP6 and CMIP5 model performance for extreme temperature in China [J]. Atmospheric and Oceanic Science Letters, 2020, 13(6): 589−597.
[13] Wang Y, Li H X, Wang H J, et al. Evaluation of CMIP6 model simulations of extreme precipitation in China and comparison with CMIP5 [J]. Acta Meteorologica Sinica, 2021, 79(3): 369–386. Chinese.
[14] Yin J, Guo S, Gu L, et al. Projected changes of bivariate flood quantiles and estimation uncertainty based on multi-model ensembles over China [J]. Journal of Hydrology 2020, 585(3): 124760.
[15] Zhai P M, Liu J. Extreme weather/climate events and disaster prevention and mitigation under global warming background [J]. Strategic Study of CAE, 2012, 14(9): 55–63, 84. Chinese.
[16] Yue S, Wang C Y. The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series [J]. Water Resources Management, 2004, 18(3): 201–218.
[17] Ren G Y, Ren Y Y, Zhan Y J, et al. Spatial and temporal patterns of precipitation variability over mainland China: II: Recent trend [J]. Advances in Water Sciences, 2015, 26(4): 451–465. Chinese.
[18] Jiang J, Zhou T J, Zhang W X. Temporal and spatial variations of extreme precipitation in the main river basins of China in the past 60 years [J]. Chinese Journal of Atmospheric Sciences, 2022, 46(3): 707–724. Chinese.
[19] Yang Y, Zhao N, Yue T X. Spatio-temporal variations of extreme high temperature event in China from 1980 to 2018 [J]. Scientia Geographica Sinica, 2022, 42(3): 536–547. Chinese.
[20] Zhang Q, Zhu B, Yang J H, et al. New characteristics about the climate humidification trend in Northwest China [J]. Chin Sci Bull, 2021, 66(Z2): 3757–3771. Chinese.
[21] Zhu H H, Jiang S, Jiang Z H. Projection of climate extremes over China in response to 1.5/2.0 ℃ global warming based on the reliability ensemble averaging [J]. Advances in Earth Science, 2022, 37(6): 612–626. Chinese.
[22] Shu Z K, Zhang J Y, Jin J L, et al. Evolution characters and causes of the dry season runoff for the major rivers in China during 1961–2018 [J]. Climate Change Research, 2021, 17 (3): 340–351. Chinese.
[23] Vicedo-Cabrera A M, Scovronick N, Sera F, et al. The burden of heat-related mortality attributable to recent human-induced climate change [J]. Nature Climate Change, 2021, 11(6): 492–500.
[24] KONG Feng. Perspective on urban rainstorm waterlogging disaster in China under changing environment: situation，causation and policy suggestion [J]. Water Resources and Hydropower Engineering, 2019, 50(10): 42–52. Chinese.
[25] Zhang J Y, Liu J F, Jin J L. Understanding and thinking about smart water conservancy [J]. Hydro-Science and Engineering, 2019 (6): 1–7. Chinese.
[26] Huang Q F. Effects of urban spatial morphology on urban heat island effect from multi-spatial scales perspectives [J]. Scientia Geographica Sinica,2021, 41(10): 1832–1842. Chinese.
[27] Cheng S Q, Wang S G, Chen C, et al. A study on the collaborative-linkage mechanism for high temperature heat wave—Based on the holistic government theory [J]. Journal of Catastrophology, 2019, 34(3): 160–166. Chinese.
[28] Cao Z J, Chen S J. Formation mechanism and evolution trend of climate poverty from the perspective of climate rish [J]. Journal of Hohani University (Philosophy and Social Sciences), 2016, 18(5): 52–59, 9. Chinese.
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