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

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

doi:https://doi.org/10.5194/hess-21-1077-2017

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.

Special issue:

Rainfall and urban hydrology

https://doi.org/10.5194/hess-21-1077-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 2

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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Month	HTML	PDF	XML	Total
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Jul 2016	114	18	2	134
Aug 2016	43	5	1	49
Sep 2016	37	5	0	42
Oct 2016	20	2	9	31
Nov 2016	8	2	10	20
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Jan 2017	20	2	0	22
Feb 2017	183	43	1	227
Mar 2017	370	44	9	423
Apr 2017	56	21	2	79
May 2017	39	16	0	55
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Jul 2017	28	11	1	40
Aug 2017	17	11	0	28
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Oct 2017	24	15	2	41
Nov 2017	22	16	1	39
Dec 2017	21	12	0	33
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Jun 2025	50	14	2	66
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Cumulative views and downloads (calculated since 20 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	233	21	0	254
Jul 2016	114	18	2	134
Aug 2016	43	5	1	49
Sep 2016	37	5	0	42
Oct 2016	20	2	9	31
Nov 2016	8	2	10	20
Dec 2016	11	4	0	15
Jan 2017	20	2	0	22
Feb 2017	183	43	1	227
Mar 2017	370	44	9	423
Apr 2017	56	21	2	79
May 2017	39	16	0	55
Jun 2017	36	13	1	50
Jul 2017	28	11	1	40
Aug 2017	17	11	0	28
Sep 2017	20	10	1	31
Oct 2017	24	15	2	41
Nov 2017	22	16	1	39
Dec 2017	21	12	0	33
Jan 2018	17	13	0	30
Feb 2018	14	7	1	22
Mar 2018	21	11	1	33
Apr 2018	22	7	0	29
May 2018	25	14	0	39
Jun 2018	33	8	3	44
Jul 2018	26	6	0	32
Aug 2018	29	12	0	41
Sep 2018	21	10	0	31
Oct 2018	28	8	1	37
Nov 2018	25	15	0	40
Dec 2018	17	4	0	21
Jan 2019	23	2	0	25
Feb 2019	26	8	0	34
Mar 2019	20	8	1	29
Apr 2019	23	8	1	32
May 2019	28	11	0	39
Jun 2019	29	11	0	40
Jul 2019	18	9	0	27
Aug 2019	15	11	0	26
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Oct 2019	16	8	1	25
Nov 2019	20	6	1	27
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Jun 2020	16	14	0	30
Jul 2020	28	16	3	47
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Jul 2021	12	15	0	27
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Jan 2023	20	17	2	39
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Jun 2024	14	5	1	20
Jul 2024	19	10	5	34
Aug 2024	32	11	3	46
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Oct 2024	25	12	3	40
Nov 2024	22	11	0	33
Dec 2024	17	16	2	35
Jan 2025	18	10	3	31
Feb 2025	40	15	2	57
Mar 2025	24	12	2	38
Apr 2025	20	13	1	34
May 2025	20	7	1	28
Jun 2025	50	14	2	66
Jul 2025	22	22	4	48
Aug 2025	18	13	1	32
Sep 2025	53	19	2	74
Oct 2025	24	28	1	53
Nov 2025	3	1	0	4

Latest update: 07 Nov 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.