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Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data

Author

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  • Zigeng Niu

    (Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Lan Feng

    (Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Xinxin Chen

    (Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Xiuping Yi

    (Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

The Yellow River Basin (YLRB) and Yangtze River Basin (YZRB) are heavily populated, important grain-producing areas in China, and they are sensitive to climate change. In order to study the temporal and spatial distribution of extreme climate events in the two river basins, seven extreme temperature indices and seven extreme precipitation indices were projected for the periods of 2010–2039, 2040–2069, and 2070–2099 using data from 16 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, and the delta change and reliability ensemble averaging (REA) methods were applied to obtain more robust ensemble values. First, the present evaluation indicated that the simulations satisfactorily reproduced the spatial distribution of temperature extremes, and the spatial distribution of precipitation extremes was generally suitably captured. Next, the REA values were adopted to conduct projections under different representative concentration pathway (RCP) scenarios (i.e., RCP4.5, and RCP8.5) in the 21st century. Warming extremes were projected to increase while cold events were projected to decrease, particularly on the eastern Tibetan Plateau, the Loess Plateau, and the lower reaches of the YZRB. In addition, the number of wet days (CWD) was projected to decrease in most regions of the two basins, but the highest five-day precipitation (Rx5day) and precipitation intensity (SDII) index values were projected to increase in the YZRB. The number of consecutive dry days (CDD) was projected to decrease in the northern and western regions of the two basins. Specifically, the warming trends in the two basins were correlated with altitude and atmospheric circulation patterns, and the wetting trends were related to the atmospheric water vapor content increases in summer and the strength of external radiative forcing. Notably, the magnitude of the changes in the extreme climate events was projected to increase with increasing warming targets, especially under the RCP8.5 scenario.

Suggested Citation

  • Zigeng Niu & Lan Feng & Xinxin Chen & Xiuping Yi, 2021. "Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data," IJERPH, MDPI, vol. 18(11), pages 1-26, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:6029-:d:568455
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    References listed on IDEAS

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    1. Fang, Q.X. & Ma, L. & Green, T.R. & Yu, Q. & Wang, T.D. & Ahuja, L.R., 2010. "Water resources and water use efficiency in the North China Plain: Current status and agronomic management options," Agricultural Water Management, Elsevier, vol. 97(8), pages 1102-1116, August.
    2. A. Kay & H. Davies & V. Bell & R. Jones, 2009. "Comparison of uncertainty sources for climate change impacts: flood frequency in England," Climatic Change, Springer, vol. 92(1), pages 41-63, January.
    3. Olufemi Babalola & Abdur Razzaque & David Bishai, 2018. "Temperature extremes and infant mortality in Bangladesh: Hotter months, lower mortality," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-9, January.
    4. Guiling Wang & Dagang Wang & Kevin E. Trenberth & Amir Erfanian & Miao Yu & Michael G. Bosilovich & Dana T. Parr, 2017. "The peak structure and future changes of the relationships between extreme precipitation and temperature," Nature Climate Change, Nature, vol. 7(4), pages 268-274, April.
    5. Allison Thomson & Katherine Calvin & Steven Smith & G. Kyle & April Volke & Pralit Patel & Sabrina Delgado-Arias & Ben Bond-Lamberty & Marshall Wise & Leon Clarke & James Edmonds, 2011. "RCP4.5: a pathway for stabilization of radiative forcing by 2100," Climatic Change, Springer, vol. 109(1), pages 77-94, November.
    6. S. Pfahl & P. A. O’Gorman & E. M. Fischer, 2017. "Understanding the regional pattern of projected future changes in extreme precipitation," Nature Climate Change, Nature, vol. 7(6), pages 423-427, June.
    7. E. M. Fischer & R. Knutti, 2015. "Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes," Nature Climate Change, Nature, vol. 5(6), pages 560-564, June.
    8. Zhe Yuan & Jijun Xu & Yongqiang Wang, 2018. "Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
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    1. Xiuping Yi & Ling Zou & Zigeng Niu & Daoyang Jiang & Qian Cao, 2022. "Multi-Model Ensemble Projections of Winter Extreme Temperature Events on the Chinese Mainland," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    2. Muhammad Chrisna Satriagasa & Piyapong Tongdeenok & Naruemol Kaewjampa, 2023. "Assessing the Implication of Climate Change to Forecast Future Flood Using SWAT and HEC-RAS Model under CMIP5 Climate Projection in Upper Nan Watershed, Thailand," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

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