Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1077-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-1077-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Department of Civil and Structural Engineering, University of
Sheffield, Sheffield, S1 3JD, UK
Alma Schellart
Department of Civil and Structural Engineering, University of
Sheffield, Sheffield, S1 3JD, UK
Simon Tait
Department of Civil and Structural Engineering, University of
Sheffield, Sheffield, S1 3JD, UK
Gerard B. M. Heuvelink
Soil Geography and Landscape group, Wageningen University,
Wageningen, 6700, the Netherlands
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Cited
26 citations as recorded by crossref.
- Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge W. Li et al. 10.1080/01431161.2019.1584686
- Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
- Recent insights on uncertainties present in integrated catchment water quality modelling F. Tscheikner-Gratl et al. 10.1016/j.watres.2018.11.079
- Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert 10.1080/02626667.2017.1410279
- Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. 10.5194/hess-21-3859-2017
- The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity E. Cristiano et al. 10.1029/2018WR024143
- stUPscales: An R-Package for Spatio-Temporal Uncertainty Propagation across Multiple Scales with Examples in Urban Water Modelling J. Torres-Matallana et al. 10.3390/w10070837
- Estimating rainfall depth from satellite-based soil moisture data: A new algorithm by integrating SM2RAIN and the analytical net water flux models M. Saeedi et al. 10.1016/j.jhydrol.2022.127868
- Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil E. Tokuda et al. 10.1590/2318-0331.282320220101
- Joint treatment of point measurement, sampling and neighborhood uncertainty in space-time rainfall mapping L. Ehlers et al. 10.1016/j.jhydrol.2019.03.100
- Forecasting upper and lower uncertainty bands of river flood discharges with high predictive skill J. Leandro et al. 10.1016/j.jhydrol.2019.06.052
- Turbidity of Stormwater Runoff from Highway Construction Sites C. Shen et al. 10.1061/(ASCE)EE.1943-7870.0001407
- Reconstruction of a flash flood event using a 2D hydrodynamic model under spatial and temporal variability of storm V. Bellos et al. 10.1007/s11069-020-03891-3
- Revisiting Flood Hazard Assessment Practices under a Hybrid Stochastic Simulation Framework A. Efstratiadis et al. 10.3390/w14030457
- Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling N. Peleg et al. 10.5194/hess-21-1559-2017
- The Role of the Spatial Distribution of Radar Rainfall on Hydrological Modeling for an Urbanized River Basin in Japan S. P. C. et al. 10.3390/w11081703
- Modeling Spatiotemporal Rainfall Variability in Paraíba, Brazil E. Medeiros et al. 10.3390/w11091843
- Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration A. Wadoux et al. 10.7717/peerj.9558
- A review of recent advances in urban flood research C. Agonafir et al. 10.1016/j.wasec.2023.100141
- Development of satellite data based rainfall IDF curves and hyetographs for flood risk management in the Kashmir Valley M. Attar et al. 10.1007/s11069-025-07205-3
- Discharge Interval method for uncertain flood forecasts using a flood model chain: city of Kulmbach M. Beg et al. 10.2166/hydro.2019.131
- A Spatial Pattern Extraction and Recognition Toolbox Supporting Machine Learning Applications on Large Hydroclimatic Datasets H. Wang & Y. Xuan 10.3390/rs14153823
- Spatial Rainfall Variability in Urban Environments—High-Density Precipitation Measurements on a City-Scale R. Maier et al. 10.3390/w12041157
- Simulation of flood hydrographs in urban channels: a tool for urban planning A. Soares Fialho et al. 10.15406/ijh.2021.05.00272
- Relevance of spatio-temporal rainfall variability regarding groundwater management challenges under global change: case study in Doñana (SW Spain) N. Naranjo-Fernández et al. 10.1007/s00477-020-01771-7
- Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. 10.1016/j.advwatres.2017.06.005
24 citations as recorded by crossref.
- Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge W. Li et al. 10.1080/01431161.2019.1584686
- Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
- Recent insights on uncertainties present in integrated catchment water quality modelling F. Tscheikner-Gratl et al. 10.1016/j.watres.2018.11.079
- Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert 10.1080/02626667.2017.1410279
- Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. 10.5194/hess-21-3859-2017
- The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity E. Cristiano et al. 10.1029/2018WR024143
- stUPscales: An R-Package for Spatio-Temporal Uncertainty Propagation across Multiple Scales with Examples in Urban Water Modelling J. Torres-Matallana et al. 10.3390/w10070837
- Estimating rainfall depth from satellite-based soil moisture data: A new algorithm by integrating SM2RAIN and the analytical net water flux models M. Saeedi et al. 10.1016/j.jhydrol.2022.127868
- Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil E. Tokuda et al. 10.1590/2318-0331.282320220101
- Joint treatment of point measurement, sampling and neighborhood uncertainty in space-time rainfall mapping L. Ehlers et al. 10.1016/j.jhydrol.2019.03.100
- Forecasting upper and lower uncertainty bands of river flood discharges with high predictive skill J. Leandro et al. 10.1016/j.jhydrol.2019.06.052
- Turbidity of Stormwater Runoff from Highway Construction Sites C. Shen et al. 10.1061/(ASCE)EE.1943-7870.0001407
- Reconstruction of a flash flood event using a 2D hydrodynamic model under spatial and temporal variability of storm V. Bellos et al. 10.1007/s11069-020-03891-3
- Revisiting Flood Hazard Assessment Practices under a Hybrid Stochastic Simulation Framework A. Efstratiadis et al. 10.3390/w14030457
- Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling N. Peleg et al. 10.5194/hess-21-1559-2017
- The Role of the Spatial Distribution of Radar Rainfall on Hydrological Modeling for an Urbanized River Basin in Japan S. P. C. et al. 10.3390/w11081703
- Modeling Spatiotemporal Rainfall Variability in Paraíba, Brazil E. Medeiros et al. 10.3390/w11091843
- Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration A. Wadoux et al. 10.7717/peerj.9558
- A review of recent advances in urban flood research C. Agonafir et al. 10.1016/j.wasec.2023.100141
- Development of satellite data based rainfall IDF curves and hyetographs for flood risk management in the Kashmir Valley M. Attar et al. 10.1007/s11069-025-07205-3
- Discharge Interval method for uncertain flood forecasts using a flood model chain: city of Kulmbach M. Beg et al. 10.2166/hydro.2019.131
- A Spatial Pattern Extraction and Recognition Toolbox Supporting Machine Learning Applications on Large Hydroclimatic Datasets H. Wang & Y. Xuan 10.3390/rs14153823
- Spatial Rainfall Variability in Urban Environments—High-Density Precipitation Measurements on a City-Scale R. Maier et al. 10.3390/w12041157
- Simulation of flood hydrographs in urban channels: a tool for urban planning A. Soares Fialho et al. 10.15406/ijh.2021.05.00272
2 citations as recorded by crossref.
- Relevance of spatio-temporal rainfall variability regarding groundwater management challenges under global change: case study in Doñana (SW Spain) N. Naranjo-Fernández et al. 10.1007/s00477-020-01771-7
- Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. 10.1016/j.advwatres.2017.06.005
Discussed (final revised paper)
Latest update: 18 Mar 2025
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...
Special issue