Articles | Volume 21, issue 2
Hydrol. Earth Syst. Sci., 21, 1077–1091, 2017
https://doi.org/10.5194/hess-21-1077-2017

Special issue: Rainfall and urban hydrology

Hydrol. Earth Syst. Sci., 21, 1077–1091, 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 et al.

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Cited articles

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Bogner, K., Pappenberger, F., and Cloke, H. L.: Technical Note: The normal quantile transformation and its application in a flood forecasting system, Hydrol. Earth Syst. Sci., 16, 1085–1094, https://doi.org/10.5194/hess-16-1085-2012, 2012.
Chow, V. T.: Handbook of Applied Hydrology. A compendium of water-resources technology, McGraw-Hill, New York, 1964.
Ciach, G. J. and Krajewski, W. F.: Analysis and modeling of spatial correlation structure in small-scale rainfall in Central Oklahoma, Adv. Water Resour., 29, 1450–1463, https://doi.org/10.1016/j.advwatres.2005.11.003, 2006.
Dirks, K. N., Hay, J. E., Stow, C. D., and Harris, D.: High-resolution studies of rainfall on Norfolk Island Part II: Interpolation of rainfall data, J. Hydrol., 208, 187–193, https://doi.org/10.1016/S0022-1694(98)00155-3, 1998.
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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.