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

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (11 Oct 2016) by Peter Molnar
AR by Manoranjan Muthusamy on behalf of the Authors (04 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Dec 2016) by Peter Molnar
RR by Anonymous Referee #2 (20 Dec 2016)
RR by Anonymous Referee #1 (04 Jan 2017)
ED: Publish subject to technical corrections (13 Jan 2017) by Peter Molnar
AR by Manoranjan Muthusamy on behalf of the Authors (27 Jan 2017)  Author's response    Manuscript
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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.