Brief Communication: An update of the article "Modelling flood damages under climate change conditions &ndash; a case study for Germany"

Hattermann, Fred Fokko; Huang, Shaochun; Burghoff, Olaf; Hoffmann, Peter; Kundzewicz, Zbigniew W.

doi:https://doi.org/10.5194/nhess-16-1617-2016

Articles | Volume 16, issue 7

https://doi.org/10.5194/nhess-16-1617-2016

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

https://doi.org/10.5194/nhess-16-1617-2016

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

Articles | Volume 16, issue 7

Brief communication

|

19 Jul 2016

Brief communication |

| 19 Jul 2016

Brief Communication: An update of the article "Modelling flood damages under climate change conditions – a case study for Germany"

Fred Fokko Hattermann, Shaochun Huang, Olaf Burghoff, Peter Hoffmann, and Zbigniew W. Kundzewicz

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Total article views: 5,057 (including HTML, PDF, and XML)

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3,426	1,418	213	5,057	187	204

HTML: 3,426
PDF: 1,418
XML: 213
Total: 5,057
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Views and downloads (calculated since 01 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	64	84	14	162
Jan 2016	34	17	0	51
Feb 2016	11	8	2	21
Mar 2016	11	3	0	14
Apr 2016	13	4	0	17
May 2016	6	3	0	9
Jun 2016	2	2	1	5
Jul 2016	277	72	4	353
Aug 2016	117	25	2	144
Sep 2016	25	11	0	36
Oct 2016	31	9	0	40
Nov 2016	23	14	1	38
Dec 2016	13	7	1	21
Jan 2017	42	10	0	52
Feb 2017	30	17	0	47
Mar 2017	57	12	2	71
Apr 2017	65	21	1	87
May 2017	55	15	4	74
Jun 2017	44	14	3	61
Jul 2017	31	9	3	43
Aug 2017	20	9	2	31
Sep 2017	21	19	1	41
Oct 2017	23	9	4	36
Nov 2017	25	10	1	36
Dec 2017	20	12	5	37
Jan 2018	68	27	4	99
Feb 2018	33	6	4	43
Mar 2018	22	12	7	41
Apr 2018	17	6	4	27
May 2018	21	9	2	32
Jun 2018	17	6	5	28
Jul 2018	17	8	3	28
Aug 2018	24	6	2	32
Sep 2018	19	10	4	33
Oct 2018	22	11	4	37
Nov 2018	16	12	3	31
Dec 2018	22	10	1	33
Jan 2019	15	6	1	22
Feb 2019	11	4	0	15
Mar 2019	9	8	0	17
Apr 2019	15	8	2	25
May 2019	8	5	0	13
Jun 2019	15	8	0	23
Jul 2019	16	9	2	27
Aug 2019	9	3	0	12
Sep 2019	10	3	0	13
Oct 2019	15	7	0	22
Nov 2019	10	10	1	21
Dec 2019	3	4	0	7
Jan 2020	19	8	2	29
Feb 2020	12	7	1	20
Mar 2020	5	8	0	13
Apr 2020	9	7	0	16
May 2020	8	7	0	15
Jun 2020	20	2	1	23
Jul 2020	29	25	17	71
Aug 2020	11	10	9	30
Sep 2020	16	4	0	20
Oct 2020	11	10	0	21
Nov 2020	16	4	3	23
Dec 2020	30	7	0	37
Jan 2021	40	12	0	52
Feb 2021	29	11	1	41
Mar 2021	20	9	2	31
Apr 2021	23	7	0	30
May 2021	16	6	1	23
Jun 2021	14	12	0	26
Jul 2021	31	16	0	47
Aug 2021	19	19	0	38
Sep 2021	37	26	1	64
Oct 2021	33	45	2	80
Nov 2021	40	36	0	76
Dec 2021	39	16	2	57
Jan 2022	55	16	1	72
Feb 2022	50	6	4	60
Mar 2022	35	14	0	49
Apr 2022	40	10	1	51
May 2022	36	15	2	53
Jun 2022	44	12	2	58
Jul 2022	26	7	0	33
Aug 2022	43	3	0	46
Sep 2022	14	4	0	18
Oct 2022	85	9	4	98
Nov 2022	39	4	0	43
Dec 2022	16	5	1	22
Jan 2023	9	14	0	23
Feb 2023	12	8	0	20
Mar 2023	19	8	0	27
Apr 2023	7	5	0	12
May 2023	29	9	3	41
Jun 2023	29	9	1	39
Jul 2023	13	6	1	20
Aug 2023	11	8	3	22
Sep 2023	16	13	0	29
Oct 2023	23	10	0	33
Nov 2023	10	9	0	19
Dec 2023	26	4	1	31
Jan 2024	29	2	3	34
Feb 2024	25	19	3	47
Mar 2024	20	14	2	36
Apr 2024	25	7	1	33
May 2024	23	15	2	40
Jun 2024	30	12	2	44
Jul 2024	35	20	5	60
Aug 2024	29	6	4	39
Sep 2024	26	4	3	33
Oct 2024	31	5	2	38
Nov 2024	20	10	0	30
Dec 2024	22	24	2	48
Jan 2025	24	10	0	34
Feb 2025	30	16	1	47
Mar 2025	38	7	0	45
Apr 2025	41	11	0	52
May 2025	16	7	1	24
Jun 2025	60	18	3	81
Jul 2025	61	22	4	87
Aug 2025	25	14	1	40
Sep 2025	44	15	1	60
Oct 2025	51	17	6	74
Nov 2025	13	7	1	21

Cumulative views and downloads (calculated since 01 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	64	84	14	162
Jan 2016	34	17	0	51
Feb 2016	11	8	2	21
Mar 2016	11	3	0	14
Apr 2016	13	4	0	17
May 2016	6	3	0	9
Jun 2016	2	2	1	5
Jul 2016	277	72	4	353
Aug 2016	117	25	2	144
Sep 2016	25	11	0	36
Oct 2016	31	9	0	40
Nov 2016	23	14	1	38
Dec 2016	13	7	1	21
Jan 2017	42	10	0	52
Feb 2017	30	17	0	47
Mar 2017	57	12	2	71
Apr 2017	65	21	1	87
May 2017	55	15	4	74
Jun 2017	44	14	3	61
Jul 2017	31	9	3	43
Aug 2017	20	9	2	31
Sep 2017	21	19	1	41
Oct 2017	23	9	4	36
Nov 2017	25	10	1	36
Dec 2017	20	12	5	37
Jan 2018	68	27	4	99
Feb 2018	33	6	4	43
Mar 2018	22	12	7	41
Apr 2018	17	6	4	27
May 2018	21	9	2	32
Jun 2018	17	6	5	28
Jul 2018	17	8	3	28
Aug 2018	24	6	2	32
Sep 2018	19	10	4	33
Oct 2018	22	11	4	37
Nov 2018	16	12	3	31
Dec 2018	22	10	1	33
Jan 2019	15	6	1	22
Feb 2019	11	4	0	15
Mar 2019	9	8	0	17
Apr 2019	15	8	2	25
May 2019	8	5	0	13
Jun 2019	15	8	0	23
Jul 2019	16	9	2	27
Aug 2019	9	3	0	12
Sep 2019	10	3	0	13
Oct 2019	15	7	0	22
Nov 2019	10	10	1	21
Dec 2019	3	4	0	7
Jan 2020	19	8	2	29
Feb 2020	12	7	1	20
Mar 2020	5	8	0	13
Apr 2020	9	7	0	16
May 2020	8	7	0	15
Jun 2020	20	2	1	23
Jul 2020	29	25	17	71
Aug 2020	11	10	9	30
Sep 2020	16	4	0	20
Oct 2020	11	10	0	21
Nov 2020	16	4	3	23
Dec 2020	30	7	0	37
Jan 2021	40	12	0	52
Feb 2021	29	11	1	41
Mar 2021	20	9	2	31
Apr 2021	23	7	0	30
May 2021	16	6	1	23
Jun 2021	14	12	0	26
Jul 2021	31	16	0	47
Aug 2021	19	19	0	38
Sep 2021	37	26	1	64
Oct 2021	33	45	2	80
Nov 2021	40	36	0	76
Dec 2021	39	16	2	57
Jan 2022	55	16	1	72
Feb 2022	50	6	4	60
Mar 2022	35	14	0	49
Apr 2022	40	10	1	51
May 2022	36	15	2	53
Jun 2022	44	12	2	58
Jul 2022	26	7	0	33
Aug 2022	43	3	0	46
Sep 2022	14	4	0	18
Oct 2022	85	9	4	98
Nov 2022	39	4	0	43
Dec 2022	16	5	1	22
Jan 2023	9	14	0	23
Feb 2023	12	8	0	20
Mar 2023	19	8	0	27
Apr 2023	7	5	0	12
May 2023	29	9	3	41
Jun 2023	29	9	1	39
Jul 2023	13	6	1	20
Aug 2023	11	8	3	22
Sep 2023	16	13	0	29
Oct 2023	23	10	0	33
Nov 2023	10	9	0	19
Dec 2023	26	4	1	31
Jan 2024	29	2	3	34
Feb 2024	25	19	3	47
Mar 2024	20	14	2	36
Apr 2024	25	7	1	33
May 2024	23	15	2	40
Jun 2024	30	12	2	44
Jul 2024	35	20	5	60
Aug 2024	29	6	4	39
Sep 2024	26	4	3	33
Oct 2024	31	5	2	38
Nov 2024	20	10	0	30
Dec 2024	22	24	2	48
Jan 2025	24	10	0	34
Feb 2025	30	16	1	47
Mar 2025	38	7	0	45
Apr 2025	41	11	0	52
May 2025	16	7	1	24
Jun 2025	60	18	3	81
Jul 2025	61	22	4	87
Aug 2025	25	14	1	40
Sep 2025	44	15	1	60
Oct 2025	51	17	6	74
Nov 2025	13	7	1	21

Latest update: 07 Nov 2025

Short summary

We report that a considerable increase in flood-related losses can be expected in Germany in a future warmer climate. The general significance of the study is supported by the fact that the outcome of an ensemble of global climate models (GCMs) and regional climate models (RCMs) was used as a climate driver for a hydrological model considering more than 3000 river basins in Germany.