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    Annual and seasonal precipitation trends and their attributions in the Qinling Mountains, a climate transitional zone in China

    84027.pdf (3.930Mb)
    Access Status
    Open access
    Authors
    Meng, Q.
    Bai, H.
    Sarukkalige, Ranjan
    Fu, G.
    Jia, W.
    Zhang, C.
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Meng, Q. and Bai, H. and Sarukkalige, R. and Fu, G. and Jia, W. and Zhang, C. 2021. Annual and seasonal precipitation trends and their attributions in the Qinling Mountains, a climate transitional zone in China. Theoretical and Applied Climatology. 144 (1-2): pp. 401-413.
    Source Title
    Theoretical and Applied Climatology
    DOI
    10.1007/s00704-020-03482-z
    ISSN
    0177-798X
    Faculty
    Faculty of Science and Engineering
    School
    School of Civil and Mechanical Engineering
    Remarks

    This is a post-peer-review, pre-copyedit version of an article published in Theoretical and Applied Climatology volume. The final authenticated version is available online at: http://doi.org/10.1007/s00704-020-03482-z.

    URI
    http://hdl.handle.net/20.500.11937/84085
    Collection
    • Curtin Research Publications
    Abstract

    In this study, annual and seasonal precipitation trends and their connection with large-scale climate indices in the Qinling Mountains (QMs) were investigated using the innovative trend analysis (ITA), based on observed monthly precipitation data between 1959 and 2016 from 32 meteorological stations. The results indicated a declining trend in annual precipitation in the QMs. Seasonally, a decreasing trend was also observed in spring and autumn, while increasing trends were observed in summer and winter. Spring and autumn precipitations significantly contributed to this observed decline in annual precipitation. More importantly, both low and high values indicated a declining trend, which would have a significant influence on ecology and livelihood in the QMs. Additionally, the results of wavelet coherence showed that annual precipitation is strongly associated with the East Asian Summer Monsoon Index (EASMI), Southern Oscillation Index (SOI), South Asian Summer Monsoon Index (SASMI), South China Sea Summer Monsoon Index (SCSMI), and Southwest Australian Circulation Index (SWACI). However, its relationship with the North Atlantic Oscillation (NAO) and West African Summer Monsoon Index (WASMI) was insignificant, and seasonally, EASMI had negative effects on the precipitation in each season. It was also observed that spring and autumn precipitations were more sensitive to SOI than SWACI, while SASMI had a strong positive relationship with winter precipitation, and SCSMI was more negatively related to autumn and winter precipitation. This study will provide scientific basis for precipitation forecast, prevention, and mitigation of flood in the future.

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