• 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
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • 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
  • Propagation of uncertainties in interpolated rainfields to runoff errors

    Thumbnail
    View/Open
    Gyasi-Agyei447379-Accepted.pdf (1.230Mb)
    File version
    Accepted Manuscript (AM)
    Author(s)
    Gyasi-Agyei, Yeboah
    Griffith University Author(s)
    Gyasi-Agyei, Yeboah
    Year published
    2019
    Metadata
    Show full item record
    Abstract
    Conditional daily rainfields were generated using collocated raingauge radar data by a kriging interpolation method, and disaggregated into hourly rainfields using variants of the method of fragments. A geographic information system (GIS)-based distributed rainfall–runoff model was used to convert the hourly rainfields into hydrographs. Using the complete radar rainfall as input, the rainfall–runoff model was calibrated based on storm events taken from nested catchments. Performance statistics were estimated by comparing the observed and the complete radar rainfall simulated hydrographs. Degradation in the hydrograph performance ...
    View more >
    Conditional daily rainfields were generated using collocated raingauge radar data by a kriging interpolation method, and disaggregated into hourly rainfields using variants of the method of fragments. A geographic information system (GIS)-based distributed rainfall–runoff model was used to convert the hourly rainfields into hydrographs. Using the complete radar rainfall as input, the rainfall–runoff model was calibrated based on storm events taken from nested catchments. Performance statistics were estimated by comparing the observed and the complete radar rainfall simulated hydrographs. Degradation in the hydrograph performance statistics by the simulated hourly rainfields was used to identify runoff error propagation. Uncertainty in daily rainfall amounts alone caused higher errors in runoff (depth, peak, and time to peak) than those caused by uncertainties in the hourly proportions alone. However, the degradation, which reduced with runoff depth, caused by the combined uncertainties was not significantly different from that caused by the uncertainty of amounts alone.
    View less >
    Journal Title
    Hydrological Sciences Journal
    Volume
    64
    Issue
    5
    DOI
    https://doi.org/10.1080/02626667.2019.1593989
    Copyright Statement
    This is an Author's Accepted Manuscript of an article published in the Hydrological Sciences Journal, 64 (5), pp. 587-606, 04 Apr 2019, copyright Taylor & Francis, available online at: https://doi.org/10.1080/02626667.2019.1593989
    Subject
    Physical geography and environmental geoscience
    Civil engineering
    Environmental engineering
    Science & Technology
    Physical Sciences
    Water Resources
    rainfield
    disaggregation
    Publication URI
    http://hdl.handle.net/10072/399793
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander