Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 1077-1091, 2017
https://doi.org/10.5194/hess-21-1077-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
20 Feb 2017
Geostatistical upscaling of rain gauge data to support uncertainty analysis of lumped urban hydrological models
Manoranjan Muthusamy et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review', Anonymous Referee #1, 05 Jul 2016 Printer-friendly Version 
AC1: 'Reply to Interactive Comment of anonymous referee #1', Manoranjan Muthusamy, 27 Sep 2016 Printer-friendly Version Supplement 
 
RC2: 'Review I', Anonymous Referee #2, 15 Jul 2016 Printer-friendly Version 
AC2: 'Reply to Interactive Comment of anonymous referee #2', Manoranjan Muthusamy, 27 Sep 2016 Printer-friendly Version Supplement 
 
SC1: 'Comment to “ Geostatistical upscaling of rain gauge data to support uncertainty analysis of lumped urban hydrological models”', Hannes Müller, 12 Aug 2016 Printer-friendly Version 
AC3: 'Reply to Interactive Comment of Hannes Müller', Manoranjan Muthusamy, 27 Sep 2016 Printer-friendly Version Supplement 
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.
In this study we develop a method to estimate the spatially averaged rainfall intensity together...
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