Optimal Temporal Resolution of Rainfall for Urban Applications and Uncertainty Propagation

Francesca Cecinati, Arie C. de Niet, Kasia Sawicka, Miguel A. Rico-Ramirez

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The optimal temporal resolution for rainfall applications in urban hydrological models depends on different factors. Accumulations are often used to reduce uncertainty, while a sufficiently fine resolution is needed to capture the variability of the urban hydrological processes. Merging radar and rain gauge rainfall is recognized to improve the estimation accuracy. This work explores the possibility to merge radar and rain gauge rainfall at coarser temporal resolutions to reduce uncertainty, and to downscale the results. A case study in the UK is used to cross-validate the methodology. Rainfall estimates merged and downscaled at different resolutions are compared. As expected, coarser resolutions tend to reduce uncertainty in terms of rainfall estimation. Additionally, an example of urban application in Twenterand, the Netherlands, is presented. The rainfall data from four rain gauge networks are merged with radar composites and used in an InfoWorks model reproducing the urban drainage system of Vroomshoop, a village in Twenterand. Fourteen combinations of accumulation and downscaling resolutions are tested in the InfoWorks model and the optimal is selected comparing the results to water level observations. The uncertainty is propagated in the InfoWorks model with ensembles. The results show that the uncertainty estimated by the ensemble spread is proportional to the rainfall intensity and dependent on the relative position between rainfall cells and measurement points.

Original languageEnglish
Article number762
JournalWater (Switzerland)
Volume9
Issue number10
Early online date4 Oct 2017
DOIs
Publication statusPublished - Oct 2017

Keywords

  • Kriging with External Drift
  • radar-rain gauge merging
  • rain gauge random error model
  • rainfall ensembles
  • rainfall temporal downscaling
  • uncertainty propagation

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

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