Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1077-2017
https://doi.org/10.5194/hess-21-1077-2017
Research article
 | 
20 Feb 2017
Research article |  | 20 Feb 2017

Geostatistical upscaling of rain gauge data to support uncertainty analysis of lumped urban hydrological models

Manoranjan Muthusamy, Alma Schellart, Simon Tait, and Gerard B. M. Heuvelink

Viewed

Total article views: 3,904 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,678 1,094 132 3,904 229 118 123
  • HTML: 2,678
  • PDF: 1,094
  • XML: 132
  • Total: 3,904
  • Supplement: 229
  • BibTeX: 118
  • EndNote: 123
Views and downloads (calculated since 20 Jun 2016)
Cumulative views and downloads (calculated since 20 Jun 2016)

Cited

Discussed (final revised paper)

Latest update: 27 Dec 2024
Download
Short summary
In this study we develop a method to estimate the spatially averaged rainfall intensity together with associated level of uncertainty using geostatistical upscaling. Rainfall data collected from a cluster of eight paired rain gauges in a small urban catchment are used in this study. Results show that the prediction uncertainty comes mainly from two sources: spatial variability of rainfall and measurement error. Results from this study can be used for uncertainty analyses of hydrologic modelling.