Role of spatial anisotropy in design storm generation: Experiment and interpretation

Tero J. Niemi*, Joseph H A Guillaume, Teemu Kokkonen, Tam M T Hoang, Alan W. Seed

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

13 Sitaatiot (Scopus)
46 Lataukset (Pure)

Abstrakti

Rainfall accumulation depths over a given area are strongly dependent on the shape of the storm together with its direction of advection. A method to produce design storms exhibiting anisotropic spatial scaling is presented by combining a state-of-the-art stochastic rainfall generator STEPS with the linear generalized scale invariance (GSI) notation. The enhanced model is used to create ensembles of design storms based on an extreme storm with a distinct rainband shape observed in Melbourne, Australia. Design storms are generated both with and without accounting for anisotropy. Effect of anisotropy on precipitation characteristics is studied using the entire region covered by the radar (radar scale) and at a significantly smaller catchment scale. A rainfall-runoff model is applied to route the rainfall through the catchment into streamflow. Accounting for anisotropy allows for a more realistic description of precipitation features at the radar scale. At the catchment scale, anisotropy increases the probability of high rainfall accumulations, which translates into greater flood volumes. No discernible difference was observed in streamflow characteristics after controlling for the accumulation over the catchment. This could be explained by a lower importance of anisotropy relative to other factors affecting streamflow generation, and by the difficulties in creating representative rainfall temporal properties at the catchment scale when the radar scale is used for model calibration. The proposed method provides a tool to create ensembles of design storms when the anisotropic shape of the fields is of importance.

AlkuperäiskieliEnglanti
Sivut69-89
Sivumäärä21
JulkaisuWater Resources Research
Vuosikerta52
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 8 tammikuuta 2016
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Tutkimusalat

  • 1805 Computational hydrology
  • 1847 Modeling
  • 1854 Precipitation
  • 1869 Stochastic hydrology
  • anisotropy
  • design storm
  • ensemble
  • precipitation simulation
  • rainband
  • scaling

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