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Spatio-Temporal Variation of Precipitation in the Qinling Mountains from 1970 to 2100 Based on CMIP6 Data

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  • Zhaopeng Zhang

    (School of Geography and Tourism, Shaanxi Normal University, No. 620 West Chang’an Street, Xi’an 710061, China)

  • Keqin Duan

    (School of Geography and Tourism, Shaanxi Normal University, No. 620 West Chang’an Street, Xi’an 710061, China)

  • Huancai Liu

    (School of Geographical Sciences, Shanxi Normal University, No. 339 Taiyu Road, Linfen 041000, China)

  • Yali Meng

    (School of Geography and Tourism, Shaanxi Normal University, No. 620 West Chang’an Street, Xi’an 710061, China
    These authors contributed equally to this work.)

  • Rong Chen

    (School of Geography and Tourism, Shaanxi Normal University, No. 620 West Chang’an Street, Xi’an 710061, China
    These authors contributed equally to this work.)

Abstract

Estimating future precipitation changes in the Qinling Mountains has significance, for understanding how to reveal the basic characteristics of the atmospheric water cycle in mountainous areas under the action of monsoons and the temporal- and spatial-variation mechanism of water resources in the ‘central water tower’, under the background of climate change. Based on four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) of the CMIP6 model, the Taylor diagram method was used to select the best regional simulation model, according to historical observation data (1970–2014). On this basis, the precipitation change and circulation background of the Qinling Mountains over the next 86 years (2015–2100) were analyzed. The results show that the simulation effect of the optimal mode is better than that of the single mode. Under the four scenarios, the variation trends of the annual precipitation in the Qinling Mountains from 2015 to 2100 were 4.4 mm/10a, 18.5 mm/10a, 18.1 mm/10a, and 19.1 mm/10a, respectively. By the middle of this century (2041–2060), compared with the reference period of 1995–2014, the average annual precipitation in the Qinling Mountains under the four scenarios will increase by 64.1 mm, 7 mm, 28.8 mm, and −51 mm, respectively. By the end of this century (2081–2100), the average annual precipitation under the four scenarios will increase by 29.5 mm, 77.2 mm, 82.9 mm, and 21.2 mm, respectively. The abnormal increase (decrease) of water vapor, transported northward from the western Pacific and the Bay of Bengal, is the main reason for the abnormal increase (decrease) of precipitation in the flood season in the Qinling Mountains. With the increase in emission scenarios, the influence of the South Asian summer monsoon on precipitation in the Qinling Mountains becomes more significant.

Suggested Citation

  • Zhaopeng Zhang & Keqin Duan & Huancai Liu & Yali Meng & Rong Chen, 2022. "Spatio-Temporal Variation of Precipitation in the Qinling Mountains from 1970 to 2100 Based on CMIP6 Data," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8654-:d:863208
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    Cited by:

    1. Sogol Moradian & Liz Coleman & Bartosz Kazmierczak & Agnieszka I. Olbert, 2024. "How to Choose the Most Proper Representative Climate Model Over a Study Region? a Case Study of Precipitation Simulations in Ireland with NEX-GDDP-CMIP6 Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 215-234, January.

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