Technical Note: Space–time statistical quality  control of extreme precipitation observations

El Hachem, Abbas; Seidel, Jochen; Imbery, Florian; Junghänel, Thomas; Bárdossy, András

doi:10.5194/hess-26-6137-2022

Articles | Volume 26, issue 23

https://doi.org/10.5194/hess-26-6137-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-6137-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 23

Technical note

|

07 Dec 2022

Technical note |

| 07 Dec 2022

Technical Note: Space–time statistical quality control of extreme precipitation observations

Abbas El Hachem, Jochen Seidel, Florian Imbery, Thomas Junghänel, and András Bárdossy

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Total article views: 3,886 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
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HTML: 2,456
PDF: 1,307
XML: 123
Total: 3,886
BibTeX: 136
EndNote: 174

Views and downloads (calculated since 11 May 2022)

Month	HTML	PDF	XML	Total
May 2022	243	59	6	308
Jun 2022	51	18	3	72
Jul 2022	92	25	4	121
Aug 2022	23	13	0	36
Sep 2022	20	12	0	32
Oct 2022	18	3	0	21
Nov 2022	41	6	1	48
Dec 2022	291	58	5	354
Jan 2023	45	12	3	60
Feb 2023	37	18	0	55
Mar 2023	51	18	1	70
Apr 2023	24	13	1	38
May 2023	46	13	0	59
Jun 2023	30	9	1	40
Jul 2023	51	26	4	81
Aug 2023	26	18	2	46
Sep 2023	15	18	0	33
Oct 2023	19	8	1	28
Nov 2023	10	3	0	13
Dec 2023	28	15	2	45
Jan 2024	27	12	1	40
Feb 2024	17	14	0	31
Mar 2024	24	21	2	47
Apr 2024	30	7	4	41
May 2024	35	10	4	49
Jun 2024	27	12	3	42
Jul 2024	147	2	4	153
Aug 2024	33	9	3	45
Sep 2024	11	8	0	19
Oct 2024	21	8	1	30
Nov 2024	17	8	0	25
Dec 2024	7	9	1	17
Jan 2025	17	15	6	38
Feb 2025	22	14	1	37
Mar 2025	16	20	0	36
Apr 2025	17	16	1	34
May 2025	31	19	2	52
Jun 2025	43	41	0	84
Jul 2025	34	35	2	71
Aug 2025	37	24	4	65
Sep 2025	89	39	0	128
Oct 2025	40	28	1	69
Nov 2025	39	61	3	103
Dec 2025	39	58	4	101
Jan 2026	76	60	16	152
Feb 2026	215	46	3	264
Mar 2026	48	106	6	160
Apr 2026	70	165	13	248
May 2026	59	67	4	130
Jun 2026	7	8	0	15

Cumulative views and downloads (calculated since 11 May 2022)

Month	HTML	PDF	XML	Total
May 2022	243	59	6	308
Jun 2022	51	18	3	72
Jul 2022	92	25	4	121
Aug 2022	23	13	0	36
Sep 2022	20	12	0	32
Oct 2022	18	3	0	21
Nov 2022	41	6	1	48
Dec 2022	291	58	5	354
Jan 2023	45	12	3	60
Feb 2023	37	18	0	55
Mar 2023	51	18	1	70
Apr 2023	24	13	1	38
May 2023	46	13	0	59
Jun 2023	30	9	1	40
Jul 2023	51	26	4	81
Aug 2023	26	18	2	46
Sep 2023	15	18	0	33
Oct 2023	19	8	1	28
Nov 2023	10	3	0	13
Dec 2023	28	15	2	45
Jan 2024	27	12	1	40
Feb 2024	17	14	0	31
Mar 2024	24	21	2	47
Apr 2024	30	7	4	41
May 2024	35	10	4	49
Jun 2024	27	12	3	42
Jul 2024	147	2	4	153
Aug 2024	33	9	3	45
Sep 2024	11	8	0	19
Oct 2024	21	8	1	30
Nov 2024	17	8	0	25
Dec 2024	7	9	1	17
Jan 2025	17	15	6	38
Feb 2025	22	14	1	37
Mar 2025	16	20	0	36
Apr 2025	17	16	1	34
May 2025	31	19	2	52
Jun 2025	43	41	0	84
Jul 2025	34	35	2	71
Aug 2025	37	24	4	65
Sep 2025	89	39	0	128
Oct 2025	40	28	1	69
Nov 2025	39	61	3	103
Dec 2025	39	58	4	101
Jan 2026	76	60	16	152
Feb 2026	215	46	3	264
Mar 2026	48	106	6	160
Apr 2026	70	165	13	248
May 2026	59	67	4	130
Jun 2026	7	8	0	15

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Total article views: 3,886 (including HTML, PDF, and XML) Thereof 3,765 with geography defined and 121 with unknown origin.

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Latest update: 05 Jun 2026

Short summary

Through this work, a methodology to identify outliers in intense precipitation data was presented. The results show the presence of several suspicious observations that strongly differ from their surroundings. Many identified outliers did not have unusually high values but disagreed with their neighboring values at the corresponding time steps. Weather radar and discharge data were used to distinguish between single events and false observations.