Estimation of insurance-related losses resulting from coastal flooding in France

Naulin, J. P.; Moncoulon, D.; Le Roy, S.; Pedreros, R.; Idier, D.; Oliveros, C.

doi:10.5194/nhess-16-195-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/nhess-16-195-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-195-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 1

Research article

|

20 Jan 2016

Research article |

| 20 Jan 2016

Estimation of insurance-related losses resulting from coastal flooding in France

J. P. Naulin, D. Moncoulon, S. Le Roy, R. Pedreros, D. Idier, and C. Oliveros

Viewed

Total article views: 3,485 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,614	1,735	136	3,485	132	153

HTML: 1,614
PDF: 1,735
XML: 136
Total: 3,485
BibTeX: 132
EndNote: 153

Views and downloads (calculated since 24 Apr 2015)

Month	HTML	PDF	XML	Total
Apr 2015	17	54	6	77
May 2015	18	17	0	35
Jun 2015	14	21	1	36
Jul 2015	14	17	0	31
Aug 2015	6	14	0	20
Sep 2015	10	19	2	31
Oct 2015	17	19	1	37
Nov 2015	9	19	0	28
Dec 2015	3	18	0	21
Jan 2016	112	50	2	164
Feb 2016	60	33	2	95
Mar 2016	41	22	0	63
Apr 2016	14	14	1	29
May 2016	13	17	0	30
Jun 2016	9	7	2	18
Jul 2016	7	8	2	17
Aug 2016	3	12	0	15
Sep 2016	7	8	0	15
Oct 2016	8	7	0	15
Nov 2016	7	11	1	19
Dec 2016	3	7	0	10
Jan 2017	10	17	0	27
Feb 2017	5	10	0	15
Mar 2017	14	24	0	38
Apr 2017	14	21	0	35
May 2017	18	17	1	36
Jun 2017	11	9	0	20
Jul 2017	12	12	0	24
Aug 2017	9	11	1	21
Sep 2017	14	14	0	28
Oct 2017	8	19	0	27
Nov 2017	9	23	1	33
Dec 2017	13	27	2	42
Jan 2018	10	16	0	26
Feb 2018	9	21	0	30
Mar 2018	11	18	2	31
Apr 2018	6	22	1	29
May 2018	3	19	4	26
Jun 2018	8	23	0	31
Jul 2018	10	23	3	36
Aug 2018	18	30	2	50
Sep 2018	12	16	1	29
Oct 2018	14	37	0	51
Nov 2018	14	27	2	43
Dec 2018	7	13	0	20
Jan 2019	8	15	0	23
Feb 2019	7	9	0	16
Mar 2019	6	9	0	15
Apr 2019	4	18	3	25
May 2019	2	10	0	12
Jun 2019	6	24	0	30
Jul 2019	5	21	0	26
Aug 2019	4	13	0	17
Sep 2019	5	16	1	22
Oct 2019	7	9	0	16
Nov 2019	6	14	1	21
Dec 2019	4	9	0	13
Jan 2020	7	9	3	19
Feb 2020	7	8	0	15
Mar 2020	5	8	1	14
Apr 2020	3	8	0	11
May 2020	2	0	2
Jun 2020	13	7	0	20
Jul 2020	29	21	18	68
Aug 2020	8	12	8	28
Sep 2020	10	6	0	16
Oct 2020	6	8	1	15
Nov 2020	3	12	2	17
Dec 2020	10	6	0	16
Jan 2021	18	8	0	26
Feb 2021	8	6	0	14
Mar 2021	8	5	0	13
Apr 2021	5	4	1	10
May 2021	3	7	0	10
Jun 2021	3	5	0	8
Jul 2021	7	9	0	16
Aug 2021	7	10	0	17
Sep 2021	11	7	0	18
Oct 2021	4	41	1	46
Nov 2021	6	34	0	40
Dec 2021	6	7	0	13
Jan 2022	12	14	2	28
Feb 2022	5	5	2	12
Mar 2022	8	6	0	14
Apr 2022	8	12	2	22
May 2022	8	4	2	14
Jun 2022	9	10	3	22
Jul 2022	2	3	0	5
Aug 2022	11	7	0	18
Sep 2022	7	7	1	15
Oct 2022	5	4	0	9
Nov 2022	30	15	0	45
Dec 2022	28	9	0	37
Jan 2023	14	20	0	34
Feb 2023	26	9	1	36
Mar 2023	17	5	1	23
Apr 2023	5	2	0	7
May 2023	25	9	3	37
Jun 2023	31	6	1	38
Jul 2023	19	8	0	27
Aug 2023	12	5	2	19
Sep 2023	17	6	0	23
Oct 2023	10	9	0	19
Nov 2023	6	9	0	15
Dec 2023	15	8	1	24
Jan 2024	11	13	2	26
Feb 2024	9	4	0	13
Mar 2024	14	12	1	27
Apr 2024	21	7	7	35
May 2024	10	8	1	19
Jun 2024	9	8	2	19
Jul 2024	19	8	4	31
Aug 2024	12	4	4	20
Sep 2024	8	4	1	13
Oct 2024	15	9	2	26
Nov 2024	5	6	0	11
Dec 2024	9	5	2	16
Jan 2025	14	11	0	25
Feb 2025	22	6	0	28
Mar 2025	16	15	1	32
Apr 2025	25	15	0	40
May 2025	24	9	1	34
Jun 2025	35	24	1	60
Jul 2025	15	16	2	33
Aug 2025	19	19	2	40
Sep 2025	32	21	1	54
Oct 2025	25	28	1	54
Nov 2025	13	11	0	24

Cumulative views and downloads (calculated since 24 Apr 2015)

Month	HTML	PDF	XML	Total
Apr 2015	17	54	6	77
May 2015	18	17	0	35
Jun 2015	14	21	1	36
Jul 2015	14	17	0	31
Aug 2015	6	14	0	20
Sep 2015	10	19	2	31
Oct 2015	17	19	1	37
Nov 2015	9	19	0	28
Dec 2015	3	18	0	21
Jan 2016	112	50	2	164
Feb 2016	60	33	2	95
Mar 2016	41	22	0	63
Apr 2016	14	14	1	29
May 2016	13	17	0	30
Jun 2016	9	7	2	18
Jul 2016	7	8	2	17
Aug 2016	3	12	0	15
Sep 2016	7	8	0	15
Oct 2016	8	7	0	15
Nov 2016	7	11	1	19
Dec 2016	3	7	0	10
Jan 2017	10	17	0	27
Feb 2017	5	10	0	15
Mar 2017	14	24	0	38
Apr 2017	14	21	0	35
May 2017	18	17	1	36
Jun 2017	11	9	0	20
Jul 2017	12	12	0	24
Aug 2017	9	11	1	21
Sep 2017	14	14	0	28
Oct 2017	8	19	0	27
Nov 2017	9	23	1	33
Dec 2017	13	27	2	42
Jan 2018	10	16	0	26
Feb 2018	9	21	0	30
Mar 2018	11	18	2	31
Apr 2018	6	22	1	29
May 2018	3	19	4	26
Jun 2018	8	23	0	31
Jul 2018	10	23	3	36
Aug 2018	18	30	2	50
Sep 2018	12	16	1	29
Oct 2018	14	37	0	51
Nov 2018	14	27	2	43
Dec 2018	7	13	0	20
Jan 2019	8	15	0	23
Feb 2019	7	9	0	16
Mar 2019	6	9	0	15
Apr 2019	4	18	3	25
May 2019	2	10	0	12
Jun 2019	6	24	0	30
Jul 2019	5	21	0	26
Aug 2019	4	13	0	17
Sep 2019	5	16	1	22
Oct 2019	7	9	0	16
Nov 2019	6	14	1	21
Dec 2019	4	9	0	13
Jan 2020	7	9	3	19
Feb 2020	7	8	0	15
Mar 2020	5	8	1	14
Apr 2020	3	8	0	11
May 2020	2	0	2
Jun 2020	13	7	0	20
Jul 2020	29	21	18	68
Aug 2020	8	12	8	28
Sep 2020	10	6	0	16
Oct 2020	6	8	1	15
Nov 2020	3	12	2	17
Dec 2020	10	6	0	16
Jan 2021	18	8	0	26
Feb 2021	8	6	0	14
Mar 2021	8	5	0	13
Apr 2021	5	4	1	10
May 2021	3	7	0	10
Jun 2021	3	5	0	8
Jul 2021	7	9	0	16
Aug 2021	7	10	0	17
Sep 2021	11	7	0	18
Oct 2021	4	41	1	46
Nov 2021	6	34	0	40
Dec 2021	6	7	0	13
Jan 2022	12	14	2	28
Feb 2022	5	5	2	12
Mar 2022	8	6	0	14
Apr 2022	8	12	2	22
May 2022	8	4	2	14
Jun 2022	9	10	3	22
Jul 2022	2	3	0	5
Aug 2022	11	7	0	18
Sep 2022	7	7	1	15
Oct 2022	5	4	0	9
Nov 2022	30	15	0	45
Dec 2022	28	9	0	37
Jan 2023	14	20	0	34
Feb 2023	26	9	1	36
Mar 2023	17	5	1	23
Apr 2023	5	2	0	7
May 2023	25	9	3	37
Jun 2023	31	6	1	38
Jul 2023	19	8	0	27
Aug 2023	12	5	2	19
Sep 2023	17	6	0	23
Oct 2023	10	9	0	19
Nov 2023	6	9	0	15
Dec 2023	15	8	1	24
Jan 2024	11	13	2	26
Feb 2024	9	4	0	13
Mar 2024	14	12	1	27
Apr 2024	21	7	7	35
May 2024	10	8	1	19
Jun 2024	9	8	2	19
Jul 2024	19	8	4	31
Aug 2024	12	4	4	20
Sep 2024	8	4	1	13
Oct 2024	15	9	2	26
Nov 2024	5	6	0	11
Dec 2024	9	5	2	16
Jan 2025	14	11	0	25
Feb 2025	22	6	0	28
Mar 2025	16	15	1	32
Apr 2025	25	15	0	40
May 2025	24	9	1	34
Jun 2025	35	24	1	60
Jul 2025	15	16	2	33
Aug 2025	19	19	2	40
Sep 2025	32	21	1	54
Oct 2025	25	28	1	54
Nov 2025	13	11	0	24

Latest update: 17 Nov 2025

Short summary

A model has been developed in order to estimate insurance-related losses caused by coastal flooding in France. It aims to identify the potential flood-impacted sectors and the subsequent insured losses a few days after the occurrence of a storm surge event on any part of the French coast. This system shows satisfactory results in the estimation of the losses related to Xynthia storm surge, which was used for the model's calibration.