• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    • Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Use of CLIGEN to simulate climate change in southwest of Western Australia

    Author
    Vaghefi, Parshin
    Yu, Bofu
    Year published
    2012
    Metadata
    Show full item record
    Abstract
    CLIGEN is a stochastic weather generator to reproduce, statistically, daily weather variables, and CLIGEN output has been used to simulate the impact of climate change on runoff and soil erosion in other parts of the world. There is little research on how to change parameter values for the stochastic weather generator based on observed weather data in regions where rainfall has significantly decreased. The aim of this paper is to develop a method based on available historical data to adjust CLIGEN parameter values when rainfall has gradually but significantly decreased. In southwest of Western Australia (SWWA), annual rainfall has shown a significant trend since the mid-1920s. Although the annual rainfall has clearly decreased during the last 90 years, the variation in monthly and daily rainfall is not as clear as annual rainfall. This study has focused on CLIGEN parameter values for the daily rainfall amount to investigate correlations between variation of daily and annual rainfall for SWWA. Long-term (90 years) daily rainfall data from Wilgarrup in this region were used to examine decadal variations in rainfall and to evaluate the changes to CLIGEN parameter values with a gradual decrease in annual rainfall. Average rainfall on wet days, standard deviations, skewness coefficients, and probabilities of a wet day following a wet day and a wet day following a dry day were analysed for each of 54 series of 30-year periods (starting from 1926 to 1979, finishing from 1955 to 2008) for Wilgarrup in SWWA. This paper shows that for the wet months in winter, there are similarities between changes in annual rainfall and changes in mean daily rainfall, standard deviation, the probability of a wet day following a dry day and mean monthly rainfall. There is little evidence to suggest the need to adjust skewness coefficients, wet day following a day wet probabilities or wet day following a dry day to simulate changes in mean monthly rainfall for this region. This paper also shows a relationship between trends in mean monthly rainfall and mean daily rainfall. These results indicate CLIGEN parameter values can be adjusted to reproduce the decline trend for the region in SWWA.
    Conference Title
    Proceedings of the 34th Hydrology & Water Resources Symposium
    Publisher URI
    http://www.hwrs2012.org.au/index.html
    Copyright Statement
    Self-archiving of the author-manuscript version is not yet supported by this conference Please refer to the conference link for access to the definitive, published version or contact the authors for more information
    Subject
    Environmental Engineering Modelling
    Publication URI
    http://hdl.handle.net/10072/52370
    Collection
    • Conference outputs

    Footer

    Social media

    • Facebook
    • Twitter
    • YouTube
    • Instagram
    • Linkedin
    First peoples of Australia
    • Aboriginal
    • Torres Strait Islander

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E

    Tagline

    • Gold Coast
    • Logan
    • Brisbane
    • Australia