Coastal flooding: impact of waves on storm surge during extremes &ndash; a case study for the German Bight

Staneva, Joanna; Wahle, Kathrin; Koch, Wolfgang; Behrens, Arno; Fenoglio-Marc, Luciana; Stanev, Emil V.

doi:10.5194/nhess-16-2373-2016

Articles | Volume 16, issue 11

https://doi.org/10.5194/nhess-16-2373-2016

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

https://doi.org/10.5194/nhess-16-2373-2016

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

Articles | Volume 16, issue 11

Research article

|

21 Nov 2016

Research article |

| 21 Nov 2016

Coastal flooding: impact of waves on storm surge during extremes – a case study for the German Bight

Joanna Staneva, Kathrin Wahle, Wolfgang Koch, Arno Behrens, Luciana Fenoglio-Marc, and Emil V. Stanev

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Total article views: 5,600 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,505	2,828	267	5,600	126	170

HTML: 2,505
PDF: 2,828
XML: 267
Total: 5,600
BibTeX: 126
EndNote: 170

Views and downloads (calculated since 15 Jul 2016)

Month	HTML	PDF	XML	Total
Jul 2016	42	16	1	59
Aug 2016	44	8	1	53
Sep 2016	26	5	1	32
Oct 2016	22	2	1	25
Nov 2016	55	21	3	79
Dec 2016	36	20	1	57
Jan 2017	28	32	0	60
Feb 2017	13	17	2	32
Mar 2017	27	44	5	76
Apr 2017	31	46	0	77
May 2017	36	16	4	56
Jun 2017	32	14	4	50
Jul 2017	19	18	1	38
Aug 2017	15	21	1	37
Sep 2017	29	19	0	48
Oct 2017	16	13	0	29
Nov 2017	15	25	0	40
Dec 2017	15	32	0	47
Jan 2018	18	27	0	45
Feb 2018	12	15	0	27
Mar 2018	18	23	3	44
Apr 2018	8	15	1	24
May 2018	12	15	2	29
Jun 2018	15	26	3	44
Jul 2018	9	21	3	33
Aug 2018	24	29	1	54
Sep 2018	13	20	1	34
Oct 2018	22	32	1	55
Nov 2018	20	30	3	53
Dec 2018	27	24	2	53
Jan 2019	10	21	0	31
Feb 2019	20	25	2	47
Mar 2019	15	21	2	38
Apr 2019	9	29	0	38
May 2019	4	40	1	45
Jun 2019	9	47	5	61
Jul 2019	5	36	0	41
Aug 2019	4	48	3	55
Sep 2019	4	56	1	61
Oct 2019	8	93	1	102
Nov 2019	8	30	3	41
Dec 2019	4	28	2	34
Jan 2020	10	23	2	35
Feb 2020	5	26	1	32
Mar 2020	1	18	0	19
Apr 2020	5	12	4	21
May 2020	4	17	0	21
Jun 2020	21	25	3	49
Jul 2020	22	41	14	77
Aug 2020	8	49	8	65
Sep 2020	9	45	3	57
Oct 2020	6	35	1	42
Nov 2020	11	40	12	63
Dec 2020	10	44	1	55
Jan 2021	23	63	0	86
Feb 2021	15	37	1	53
Mar 2021	16	42	7	65
Apr 2021	12	36	5	53
May 2021	68	45	1	114
Jun 2021	25	28	0	53
Jul 2021	15	40	9	64
Aug 2021	7	37	6	50
Sep 2021	17	38	3	58
Oct 2021	22	57	1	80
Nov 2021	25	64	7	96
Dec 2021	11	23	4	38
Jan 2022	28	34	0	62
Feb 2022	48	30	8	86
Mar 2022	63	25	3	91
Apr 2022	54	23	4	81
May 2022	74	24	3	101
Jun 2022	59	21	2	82
Jul 2022	50	19	7	76
Aug 2022	60	36	7	103
Sep 2022	26	14	1	41
Oct 2022	11	11	3	25
Nov 2022	37	23	0	60
Dec 2022	31	15	4	50
Jan 2023	25	24	0	49
Feb 2023	36	18	3	57
Mar 2023	22	17	1	40
Apr 2023	6	9	1	16
May 2023	34	15	3	52
Jun 2023	29	8	2	39
Jul 2023	16	11	1	28
Aug 2023	22	11	3	36
Sep 2023	28	15	0	43
Oct 2023	26	14	0	40
Nov 2023	13	4	1	18
Dec 2023	15	9	2	26
Jan 2024	16	10	2	28
Feb 2024	7	12	1	20
Mar 2024	14	18	2	34
Apr 2024	26	34	5	65
May 2024	16	20	2	38
Jun 2024	15	11	2	28
Jul 2024	18	18	4	40
Aug 2024	17	6	3	26
Sep 2024	15	11	3	29
Oct 2024	14	14	3	31
Nov 2024	12	10	0	22
Dec 2024	27	20	2	49
Jan 2025	24	13	5	42
Feb 2025	27	18	2	47
Mar 2025	24	19	3	46
Apr 2025	22	23	1	46
May 2025	30	6	0	36
Jun 2025	30	20	1	51
Jul 2025	26	17	1	44
Aug 2025	31	18	2	51
Sep 2025	58	25	1	84
Oct 2025	29	27	1	57
Nov 2025	27	23	4	54

Cumulative views and downloads (calculated since 15 Jul 2016)

Month	HTML	PDF	XML	Total
Jul 2016	42	16	1	59
Aug 2016	44	8	1	53
Sep 2016	26	5	1	32
Oct 2016	22	2	1	25
Nov 2016	55	21	3	79
Dec 2016	36	20	1	57
Jan 2017	28	32	0	60
Feb 2017	13	17	2	32
Mar 2017	27	44	5	76
Apr 2017	31	46	0	77
May 2017	36	16	4	56
Jun 2017	32	14	4	50
Jul 2017	19	18	1	38
Aug 2017	15	21	1	37
Sep 2017	29	19	0	48
Oct 2017	16	13	0	29
Nov 2017	15	25	0	40
Dec 2017	15	32	0	47
Jan 2018	18	27	0	45
Feb 2018	12	15	0	27
Mar 2018	18	23	3	44
Apr 2018	8	15	1	24
May 2018	12	15	2	29
Jun 2018	15	26	3	44
Jul 2018	9	21	3	33
Aug 2018	24	29	1	54
Sep 2018	13	20	1	34
Oct 2018	22	32	1	55
Nov 2018	20	30	3	53
Dec 2018	27	24	2	53
Jan 2019	10	21	0	31
Feb 2019	20	25	2	47
Mar 2019	15	21	2	38
Apr 2019	9	29	0	38
May 2019	4	40	1	45
Jun 2019	9	47	5	61
Jul 2019	5	36	0	41
Aug 2019	4	48	3	55
Sep 2019	4	56	1	61
Oct 2019	8	93	1	102
Nov 2019	8	30	3	41
Dec 2019	4	28	2	34
Jan 2020	10	23	2	35
Feb 2020	5	26	1	32
Mar 2020	1	18	0	19
Apr 2020	5	12	4	21
May 2020	4	17	0	21
Jun 2020	21	25	3	49
Jul 2020	22	41	14	77
Aug 2020	8	49	8	65
Sep 2020	9	45	3	57
Oct 2020	6	35	1	42
Nov 2020	11	40	12	63
Dec 2020	10	44	1	55
Jan 2021	23	63	0	86
Feb 2021	15	37	1	53
Mar 2021	16	42	7	65
Apr 2021	12	36	5	53
May 2021	68	45	1	114
Jun 2021	25	28	0	53
Jul 2021	15	40	9	64
Aug 2021	7	37	6	50
Sep 2021	17	38	3	58
Oct 2021	22	57	1	80
Nov 2021	25	64	7	96
Dec 2021	11	23	4	38
Jan 2022	28	34	0	62
Feb 2022	48	30	8	86
Mar 2022	63	25	3	91
Apr 2022	54	23	4	81
May 2022	74	24	3	101
Jun 2022	59	21	2	82
Jul 2022	50	19	7	76
Aug 2022	60	36	7	103
Sep 2022	26	14	1	41
Oct 2022	11	11	3	25
Nov 2022	37	23	0	60
Dec 2022	31	15	4	50
Jan 2023	25	24	0	49
Feb 2023	36	18	3	57
Mar 2023	22	17	1	40
Apr 2023	6	9	1	16
May 2023	34	15	3	52
Jun 2023	29	8	2	39
Jul 2023	16	11	1	28
Aug 2023	22	11	3	36
Sep 2023	28	15	0	43
Oct 2023	26	14	0	40
Nov 2023	13	4	1	18
Dec 2023	15	9	2	26
Jan 2024	16	10	2	28
Feb 2024	7	12	1	20
Mar 2024	14	18	2	34
Apr 2024	26	34	5	65
May 2024	16	20	2	38
Jun 2024	15	11	2	28
Jul 2024	18	18	4	40
Aug 2024	17	6	3	26
Sep 2024	15	11	3	29
Oct 2024	14	14	3	31
Nov 2024	12	10	0	22
Dec 2024	27	20	2	49
Jan 2025	24	13	5	42
Feb 2025	27	18	2	47
Mar 2025	24	19	3	46
Apr 2025	22	23	1	46
May 2025	30	6	0	36
Jun 2025	30	20	1	51
Jul 2025	26	17	1	44
Aug 2025	31	18	2	51
Sep 2025	58	25	1	84
Oct 2025	29	27	1	57
Nov 2025	27	23	4	54

Latest update: 26 Nov 2025

Short summary

This study addresses the impact of wind, waves, tidal forcing and baroclinicity on the sea level of the German Bight during extreme storm events. The role of wave-induced processes, tides and baroclinicity is quantified, and the results are compared with in situ measurements and satellite data. Considering a wave-dependent approach and baroclinicity, the surge is significantly enhanced in the coastal areas and the model results are closer to observations, especially during the extreme storm.