Abstract
Based on the precipitation data observed by stations and data simulated by 23 CMIP5 models, the features and future changes of summer (Jun-Jul-Aug) extreme precipitation events in Sichuan Province of China were analysed. We found that the total precipitation (RSum), extreme precipitation threshold (Threshold90), extreme precipitation (TR90), extreme precipitation percentage (TR90pct) and extreme precipitation intensity (TR90str) decreased from the southeast to the northwest in Sichuan Province, reflecting the differences between eastern Sichuan (ESC, basins) and western Sichuan (WSC, mountains). Compared with the observations, most of the CMIP5 models showed that there were wet biases in WSC and an unclear bias pattern in ESC for the RSum, Threshold90, TR90, and TR90str. However, the extreme precipitation days (ND90) and TR90pct values simulated by the models were generally overestimated and underestimated, respectively. Compared with the historical period, most models showed obvious increases in the TR90 and TR90pct in the 21 century, while the characteristics of Rsum, ND90, and TR90str were inconspicuous. Compared with the mid-21st century, the extreme precipitation in the late-21st century exhibited a certain degree of increase. Even during the same period, the results of RCP8.5 were higher than those of RCP4.5, especially for the ND90, TR90, and TR90pct.
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References
Bao JW, Feng JM, Wang YL (2015) Dynamical downscaling simulation and future projection of precipitation over China. Journal of Geophysical Research: Atmospheres 120(16): 8227–8243. https://doi.org/10.1002/2015JD023275
Bucchignani E, Alessandra L Z, Luigi C, et al. (2017) Extreme weather events over China: assessment of COSMO-CLM simulations and future scenarios, International Journal of Climatology 37(3): 1578–1594. https://doi.org/10.1002/joc.4798
Chen AJ, He XG, Guan HD, et al. (2019) Variability of seasonal precipitation extremes over China and their associations with large-scale ocean-atmosphere oscillations. International Journal of Climatology 39(2): 613–628. https://doi.org/10.1002/joc.5830
Chen, HP (2013) Projected change in extreme rainfall events in China by the end of the 21st century using CMIP5 models. Chinese Science Bulletin 58(12): 1462–1472. https://doi.org/10.1007/s11434-012-5612-2
Chi XX, Wang X, Sun YK (2016) Spatiotemporal variations of precipitation extremes of China during the past 50 years (1960–2009). Theoretical and applied climatology 124(3–4): 555–564. https://doi.org/10.1007/s00704-015-1436-8
Diaz HF, Grosjean M, Graumlich L (2003) Climate Variability and Change in High Elevation Regions: Past, Present and Future. Climatic Change 59(1): 1–4. https://doi.org/10.1023/A:1024416227887
Donat MG, Lowry AL, Alexander LV, et al. (2016) More extreme precipitation in the world’s dry and wet regions. Nature Climate Change 6(5): 508–513. https://doi.org/10.1038/nclimate2941
Espinoza V, Duane EW, Bin Guan, et al. (2018) Global analysis of climate change projection effects on atmospheric rivers. Geophysical Research Letters 45(9): 4299–4308. https://doi.org/10.1029/2017GL076968
Han JY, Du HB, Wu ZF, et al. (2019) Changes in Extreme Precipitation Over Dry and Wet Regions of China During 1961–2014. Journal of Geophysical Research: Atmospheres 124(11): 5847–5859. https://doi.org/10.1029/2018JD029974
Hu HR, Mao XL, Liang L (2009) Temporal and spatial variations of extreme precipitation events of flood season over Sichuan Basin in last 50 years. Acta Geographica Sinica 64(3): 278–288. (in Chinese, with English Abstract)
Hu Y, Deng Y, Zhou ZM, et al. (2019) A synoptic assessment of the summer extreme rainfall over the middle reaches of Yangtze River in CMIP5 models. Climate Dynamics 53(3–4): 2133–2146. https://doi.org/10.1007/s00382-019-04803-3
Huang J, Chen X, Xue Y, et al. (2017) Changing characteristics of wet/dry spells during 1961–2008 in Sichuan province, southwest China. Theoretical and Applied Climatology 127(1): 129–141. https://doi.org/10.1007/s00704-015-1621-9
Huang J, Sun SL, Xue Y, et al. (2014) Spatial and temporal variability of precipitation and dryness/wetness during 1961–2008 in Sichuan province, west China. Water Resources Management 28(6): 1655–1670. https://doi.org/10.1007/s11269-014-0572-8
Jiang, DB, Tian, ZP (2013) East Asian monsoon change for the 21st century: Results of CMIP3 and CMIP5 models. Chinese Science Bulletin 58(12): 1427–1435. https://doi.org/10.1007/s11434-012-5533-0
Jiang ZH, Li W, Xu JJ, et al. (2015) Extreme Precipitation Indices over China in CMIP5 Models. Part I: Model Evaluation. Journal of Climate 28(21): 8603–8619. https://doi.org/10.1175/JCLI-D-15-0099.1
Li DH, Zou LW, Zhou TJ (2018) Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling. Journal of Geophysical Research: Atmospheres 123(18): 10215–10230. https://doi.org/10.1029/2018JD028835
Li J, Zhao YD, Iqbal J (2019) Variation patterns of extreme precipitation and relation to ocean-atmospheric climate in Sichuan province China from 1961 to 2017. Theoretical and Applied Climatology 137(3): 3009–3026. https://doi.org/10.1007/s00704-019-02792-1
Li W, Jiang ZH, Xu JJ, et al. (2016) Extreme Precipitation Indices over China in CMIP5 Models. Part II: Probabilistic Projection. Journal of Climate 29(24): 8989–9004. https://doi.org/10.1175/JCLI-D-16-0377.1
Li ZX, He YQ, Theakstone WH, et al. (2012) Altitude dependency of trends of daily climate extremes in southwestern China, 1961–2008. Journal of Geographical Sciences 22(3): 416–430. https://doi.org/10.1007/s11442-012-0936-z
Lin L, Xu YY, Wang ZL, et al. (2018) Changes in Extreme Rainfall Over India and China Attributed to Regional Aerosol-Cloud Interaction During the Late 20th Century Rapid Industrialization. Geophysical Research Letters 45(15): 7857–7865. https://doi.org/10.1029/2018GL078308
Liu LC, Xu ZX (2016). Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China. Natural Hazards 80(2): 1195–1211. https://doi.org/10.1007/s11069-015-2018-x
Massoud EC, Espinoza V, Guan B, et al. (2019) Global climate model ensemble approaches for future projections of atmospheric rivers. Earth’s Future 7(10): 1136–1151. https://doi.org/10.1029/2019EF001249
Nangombe S, Zhou TJ, Zhang WX, et al. (2018) Record-breaking climate extremes in Africa under stabilized 1.5 °C and 2 °C global warming scenarios. Nature Climate Change 8(5): 375–380. https://doi.org/10.1038/s41558-018-0145-6
Navarro-Racines C, Jaime T, Philip T, et al. (2020) High-resolution and bias-corrected CMIP5 projections for climate change impact assessments. Scientific Data 7(1): https://doi.org/10.1038/s41597-019-0343-8
Nayak S, Dairaku K, Takayabu I, et al. (2018) Extreme precipitation linked to temperature over Japan: current evaluation and projected changes with multi-model ensemble downscaling. Climate Dynamics 51(11–12): 4385–4401. https://doi.org/10.1007/s00382-017-3866-8
Ning L, Liu J, and Wang B (2017) How does the South Asian High influence extreme precipitation over eastern China?. Journal of Geophysical Research: Atmospheres 122(8): 4281–4298. https://doi.org/10.1002/2016JD026075
Qin PH, Xie ZH (2016) Detecting changes in future precipitation extremes over eight river basins in China using RegCM4 downscaling. Journal of Geophysical Research: Atmospheres 121(12): 6802–6821. https://doi.org/10.1002/2016JD024776
Ou TH, Chen DL, Linderholm HW et al. (2013) Evaluation of global climate models in simulating extreme precipitation in China. Tellus A: Dynamic Meteorology and Oceanography, 65. https://doi.org/10.3402/tellusa.v65i0.19799
Schroeer K, Kirchengast G (2018) Sensitivity of extreme precipitation to temperature: the variability of scaling factors from a regional to local perspective. Climate Dynamics 50(11–12): 3981–3994. https://doi.org/10.1007/s00382-017-3857-9
Shi P, Wu M, Qu SM, et al. (2015) Spatial distribution and temporal trends in precipitation concentration indices for the Southwest China. Water Resources Management 29(11): 3941–3955. https://doi.org/10.1007/s11269-015-1038-3
Su FG, Duan XL, Chen DL, et al. (2013) Evaluation of the global climate models in the CMIP5 over the Tibetan Plateau. Journal of Climate 26: 3187–3208. https://doi.org/10.1175/JCLI-D-12-00321.1
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society 93(4): 485–498. https://doi.org/10.1175/BAMS-D-11-00094.1
Wang L, Qian Y, Zhang YC, et al. (2016) Observed variability of summer precipitation pattern and extreme events in East China associated with variations of the East Asian summer monsoon. International Journal of Climatology 36(8): 2942–2957. https://doi.org/10.1002/joc.4530
Xiao C, Wu PL, Zhang LX, et al. (2016) Robust increase in extreme summer rainfall intensity during the past four decades observed in China. Scientific Reports 6: 38506. https://doi.org/10.1038/srep38506
Xu K, Xu BB, Ju JL, et al. (2019) Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China. Atmospheric Research 226: 122–137. https://doi.org/10.1016/j.atmosres.2019.04.018
Xu LL, Wang AH (2019) Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China. Earth and Space Science 6: 2508–2524. https://doi.org/10.1029/2019EA000995
Xu X, Du YG, Tang JP, et al. (2011) Variations of temperature and precipitation extremes in recent two decades over China. Atmospheric Research 101(1–2): 143–154. https://doi.org/10.1016/j.atmosres.2011.02.003
Xu CH, and Xu Y (2012) The Projection of Temperature and Precipitation over China under RCP Scenarios using a CMIP5 Multi-Model Ensemble. Atmospheric and Oceanic Science Letters 5: 527–533. https://doi.org/10.1080/16742834.2012.11447042
You QL, Kang SC, Aguilar E, et al. (2011) Changes in daily climate extremes in China and their connection to the large scale atmospheric circulation during 1961–2003. Climate Dynamics 36(11–12): 2399–2417. https://doi.org/10.1007/s00382-009-0735-0
Zeng W, Yu Z, Wu SH, et al. (2016) Changes in annual, seasonal and monthly precipitation events and their link with elevation in Sichuan province, China. International Journal of Climatology 36(5): 2303–2322. https://doi.org/10.1002/joc.4496
Zhai PM, Zhang XB, Wan H, et al. (2005) Trends in Total Precipitation and Frequency of Daily Precipitation Extremes over China. Journal of Climate 18(7): 1096–1108. https://doi.org/10.1175/JCLI-3318.1
Zhang SQ, Ma ZF (2011) Change tendency and cyclicity analysis of extreme precipitation over Sichuan province during 1961–2009. Journal of Natural Resources 26(11): 1918–1929. (in Chinese, with English Abstract)
Zhang WX, Zhou TJ, Zou LW, et al. (2018) Reduced exposure to extreme precipitation from 0.5 °C less warming in global land monsoon regions. Nature Communications 9(1): 3153. https://doi.org/10.1038/s41467-018-05633-3
Zhou CY, Cen SX, Li YQ, et al. (2011) Precipitation variation and its impacts in Sichuan in the last 50 years. Acta Geographica Sinica 66(5): 619–630. (In Chinese, with English Abstract)
Acknowledgement
This work was funded by the National Natural Science Foundation of China (grant no. 41975130, 41875102), the Sichuan Science and Technology Program (2020JDJQ0050), the Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province (grant no. SZKT201804), the Key Project of Education Office of Sichuan Province (grant no. 18ZA0095), and the Scientific Research Foundation of Chengdu University of Information Technology (grant no. KYTZ201737). We are very grateful to the reviewers for their constructive comments and thoughtful suggestions.
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Yang, Xy., Zhang, Sb., Lyu, Yq. et al. Characteristics and future projections of summer extreme precipitation in Sichuan Province, China. J. Mt. Sci. 17, 1696–1711 (2020). https://doi.org/10.1007/s11629-019-5841-9
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DOI: https://doi.org/10.1007/s11629-019-5841-9