Stochastic generation of multi-site daily precipitation focusing on extreme events

Evin, Guillaume; Favre, Anne-Catherine; Hingray, Benoit

doi:10.5194/hess-22-655-2018

Articles | Volume 22, issue 1

https://doi.org/10.5194/hess-22-655-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-22-655-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 1

Research article

|

25 Jan 2018

Research article |

| 25 Jan 2018

Stochastic generation of multi-site daily precipitation focusing on extreme events

Guillaume Evin, Anne-Catherine Favre, and Benoit Hingray

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Total article views: 5,172 (including HTML, PDF, and XML)

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2,832	2,213	127	5,172	133	183

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XML: 127
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Views and downloads (calculated since 28 Apr 2017)

Month	HTML	PDF	XML	Total
Apr 2017	72	19	2	93
May 2017	317	55	8	380
Jun 2017	74	26	8	108
Jul 2017	23	13	1	37
Aug 2017	17	11	1	29
Sep 2017	15	7	0	22
Oct 2017	10	5	0	15
Nov 2017	9	5	0	14
Dec 2017	13	9	0	22
Jan 2018	54	12	1	67
Feb 2018	102	32	6	140
Mar 2018	28	30	0	58
Apr 2018	19	20	0	39
May 2018	15	13	0	28
Jun 2018	22	19	0	41
Jul 2018	6	17	0	23
Aug 2018	17	25	6	48
Sep 2018	17	16	1	34
Oct 2018	14	12	1	27
Nov 2018	15	63	1	79
Dec 2018	13	76	0	89
Jan 2019	5	54	0	59
Feb 2019	14	46	0	60
Mar 2019	11	54	0	65
Apr 2019	14	49	0	63
May 2019	20	47	0	67
Jun 2019	24	71	0	95
Jul 2019	13	94	2	109
Aug 2019	11	90	0	101
Sep 2019	13	95	0	108
Oct 2019	34	42	1	77
Nov 2019	12	15	0	27
Dec 2019	9	15	1	25
Jan 2020	13	15	2	30
Feb 2020	10	6	0	16
Mar 2020	17	6	0	23
Apr 2020	8	8	0	16
May 2020	9	5	0	14
Jun 2020	13	13	1	27
Jul 2020	21	23	4	48
Aug 2020	15	15	3	33
Sep 2020	32	19	0	51
Oct 2020	8	7	2	17
Nov 2020	19	21	0	40
Dec 2020	19	14	0	33
Jan 2021	65	45	1	111
Feb 2021	16	20	1	37
Mar 2021	23	15	0	38
Apr 2021	19	21	0	40
May 2021	18	13	4	35
Jun 2021	5	14	0	19
Jul 2021	13	12	0	25
Aug 2021	9	8	0	17
Sep 2021	17	8	0	25
Oct 2021	12	45	1	58
Nov 2021	25	41	2	68
Dec 2021	19	13	0	32
Jan 2022	23	21	0	44
Feb 2022	21	10	2	33
Mar 2022	13	19	1	33
Apr 2022	17	18	2	37
May 2022	17	14	1	32
Jun 2022	14	10	1	25
Jul 2022	13	13	0	26
Aug 2022	32	11	1	44
Sep 2022	25	8	0	33
Oct 2022	22	7	2	31
Nov 2022	55	16	1	72
Dec 2022	42	12	0	54
Jan 2023	47	16	1	64
Feb 2023	42	11	0	53
Mar 2023	45	10	1	56
Apr 2023	22	9	0	31
May 2023	13	16	0	29
Jun 2023	12	14	1	27
Jul 2023	19	10	3	32
Aug 2023	15	13	4	32
Sep 2023	9	10	0	19
Oct 2023	25	12	2	39
Nov 2023	6	3	0	9
Dec 2023	16	8	2	26
Jan 2024	22	11	1	34
Feb 2024	24	14	0	38
Mar 2024	49	18	2	69
Apr 2024	48	17	1	66
May 2024	34	16	5	55
Jun 2024	43	16	2	61
Jul 2024	31	19	0	50
Aug 2024	32	8	1	41
Sep 2024	26	6	1	33
Oct 2024	40	10	0	50
Nov 2024	40	11	5	56
Dec 2024	53	7	3	63
Jan 2025	27	12	0	39
Feb 2025	37	14	3	54
Mar 2025	16	9	0	25
Apr 2025	18	19	3	40
May 2025	36	8	1	45
Jun 2025	51	21	1	73
Jul 2025	33	24	2	59
Aug 2025	34	23	2	59
Sep 2025	30	14	3	47
Oct 2025	26	37	2	65
Nov 2025	40	24	3	67

Cumulative views and downloads (calculated since 28 Apr 2017)

Month	HTML	PDF	XML	Total
Apr 2017	72	19	2	93
May 2017	317	55	8	380
Jun 2017	74	26	8	108
Jul 2017	23	13	1	37
Aug 2017	17	11	1	29
Sep 2017	15	7	0	22
Oct 2017	10	5	0	15
Nov 2017	9	5	0	14
Dec 2017	13	9	0	22
Jan 2018	54	12	1	67
Feb 2018	102	32	6	140
Mar 2018	28	30	0	58
Apr 2018	19	20	0	39
May 2018	15	13	0	28
Jun 2018	22	19	0	41
Jul 2018	6	17	0	23
Aug 2018	17	25	6	48
Sep 2018	17	16	1	34
Oct 2018	14	12	1	27
Nov 2018	15	63	1	79
Dec 2018	13	76	0	89
Jan 2019	5	54	0	59
Feb 2019	14	46	0	60
Mar 2019	11	54	0	65
Apr 2019	14	49	0	63
May 2019	20	47	0	67
Jun 2019	24	71	0	95
Jul 2019	13	94	2	109
Aug 2019	11	90	0	101
Sep 2019	13	95	0	108
Oct 2019	34	42	1	77
Nov 2019	12	15	0	27
Dec 2019	9	15	1	25
Jan 2020	13	15	2	30
Feb 2020	10	6	0	16
Mar 2020	17	6	0	23
Apr 2020	8	8	0	16
May 2020	9	5	0	14
Jun 2020	13	13	1	27
Jul 2020	21	23	4	48
Aug 2020	15	15	3	33
Sep 2020	32	19	0	51
Oct 2020	8	7	2	17
Nov 2020	19	21	0	40
Dec 2020	19	14	0	33
Jan 2021	65	45	1	111
Feb 2021	16	20	1	37
Mar 2021	23	15	0	38
Apr 2021	19	21	0	40
May 2021	18	13	4	35
Jun 2021	5	14	0	19
Jul 2021	13	12	0	25
Aug 2021	9	8	0	17
Sep 2021	17	8	0	25
Oct 2021	12	45	1	58
Nov 2021	25	41	2	68
Dec 2021	19	13	0	32
Jan 2022	23	21	0	44
Feb 2022	21	10	2	33
Mar 2022	13	19	1	33
Apr 2022	17	18	2	37
May 2022	17	14	1	32
Jun 2022	14	10	1	25
Jul 2022	13	13	0	26
Aug 2022	32	11	1	44
Sep 2022	25	8	0	33
Oct 2022	22	7	2	31
Nov 2022	55	16	1	72
Dec 2022	42	12	0	54
Jan 2023	47	16	1	64
Feb 2023	42	11	0	53
Mar 2023	45	10	1	56
Apr 2023	22	9	0	31
May 2023	13	16	0	29
Jun 2023	12	14	1	27
Jul 2023	19	10	3	32
Aug 2023	15	13	4	32
Sep 2023	9	10	0	19
Oct 2023	25	12	2	39
Nov 2023	6	3	0	9
Dec 2023	16	8	2	26
Jan 2024	22	11	1	34
Feb 2024	24	14	0	38
Mar 2024	49	18	2	69
Apr 2024	48	17	1	66
May 2024	34	16	5	55
Jun 2024	43	16	2	61
Jul 2024	31	19	0	50
Aug 2024	32	8	1	41
Sep 2024	26	6	1	33
Oct 2024	40	10	0	50
Nov 2024	40	11	5	56
Dec 2024	53	7	3	63
Jan 2025	27	12	0	39
Feb 2025	37	14	3	54
Mar 2025	16	9	0	25
Apr 2025	18	19	3	40
May 2025	36	8	1	45
Jun 2025	51	21	1	73
Jul 2025	33	24	2	59
Aug 2025	34	23	2	59
Sep 2025	30	14	3	47
Oct 2025	26	37	2	65
Nov 2025	40	24	3	67

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Total article views: 5,172 (including HTML, PDF, and XML) Thereof 4,796 with geography defined and 376 with unknown origin.

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1

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Latest update: 26 Nov 2025

Short summary

This research paper proposes a multi-site daily precipitation model, named GWEX, which aims to reproduce the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown with an application to 105 stations, covering a large region in Switzerland.


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