RMIT University
Browse

Precipitation trends in Victoria, Australia

journal contribution
posted on 2024-11-01, 17:25 authored by Siti Nazahiyah Rahmat, Niranjali Jayasuriya, Muhammed BhuiyanMuhammed Bhuiyan
Annual rainfall series trends were investigated for more than 100 years of data using two nonparametric trend tests Mann-Kendall (MK) and Sen's slope (Q) for five selected meteorological stations in Victoria, Australia. The annual rainfall time series showed no significant trends for any of the five stations. To assess the sensitivity of trends to the length of the time periods considered, the annual rainfall analysis was repeated using recent data from approximately half the data set between 1949 and 2011. Contrasting results from the original full data set analysis were revealed. All five stations showed decreasing trends with two stations showing significant trends suggesting that this recent time period has added more low precipitation data to the time series. The year of abrupt changes for all the five stations identified using the sequential MK test varied. Conclusions drawn from this paper, point to the importance of selecting the time series data length in identifying trends and abrupt changes. Due to the climate variability, trend testing results might be biased and strongly dependent on the data period selected. Therefore, use of the full data set available would be required in order to improve understanding of change or to undertake any further studies.

History

Related Materials

  1. 1.
    DOI - Is published in 10.2166/wcc.2014.007
  2. 2.
    ISSN - Is published in 20402244

Journal

Journal of Water and Climate Change

Volume

6

Issue

2

Start page

278

End page

287

Total pages

10

Publisher

IWA Publishing

Place published

United Kingdom

Language

English

Copyright

© IWA Publishing 2014

Former Identifier

2006049433

Esploro creation date

2020-06-22

Fedora creation date

2015-11-04

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC