A global historical data set of tropical cyclone exposure (TCE-DAT)

Geiger, Tobias; Frieler, Katja; Bresch, David N.

doi:10.5194/essd-10-185-2018

Articles | Volume 10, issue 1

https://doi.org/10.5194/essd-10-185-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-185-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

26 Jan 2018

| 26 Jan 2018

A global historical data set of tropical cyclone exposure (TCE-DAT)

Tobias Geiger, Katja Frieler, and David N. Bresch

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Total article views: 8,324 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
5,834	2,293	197	8,324	204	221

HTML: 5,834
PDF: 2,293
XML: 197
Total: 8,324
BibTeX: 204
EndNote: 221

Views and downloads (calculated since 05 Sep 2017)

Month	HTML	PDF	XML	Total
Sep 2017	93	31	3	127
Oct 2017	31	12	0	43
Nov 2017	32	15	1	48
Dec 2017	24	11	0	35
Jan 2018	59	23	1	83
Feb 2018	201	48	7	256
Mar 2018	86	38	4	128
Apr 2018	57	22	2	81
May 2018	46	24	2	72
Jun 2018	28	8	1	37
Jul 2018	47	14	3	64
Aug 2018	33	34	1	68
Sep 2018	37	21	3	61
Oct 2018	29	20	0	49
Nov 2018	43	31	1	75
Dec 2018	25	17	0	42
Jan 2019	29	9	0	38
Feb 2019	26	10	1	37
Mar 2019	36	19	1	56
Apr 2019	27	11	0	38
May 2019	44	22	1	67
Jun 2019	261	16	0	277
Jul 2019	237	10	0	247
Aug 2019	99	15	1	115
Sep 2019	133	12	0	145
Oct 2019	144	39	1	184
Nov 2019	159	13	0	172
Dec 2019	115	12	0	127
Jan 2020	57	24	1	82
Feb 2020	51	31	1	83
Mar 2020	32	26	0	58
Apr 2020	21	22	0	43
May 2020	36	17	0	53
Jun 2020	30	37	0	67
Jul 2020	84	75	26	185
Aug 2020	19	14	1	34
Sep 2020	34	9	0	43
Oct 2020	35	20	2	57
Nov 2020	35	31	0	66
Dec 2020	31	22	1	54
Jan 2021	41	19	1	61
Feb 2021	44	19	1	64
Mar 2021	37	20	0	57
Apr 2021	28	13	1	42
May 2021	24	19	0	43
Jun 2021	19	14	0	33
Jul 2021	30	21	1	52
Aug 2021	17	21	1	39
Sep 2021	22	19	0	41
Oct 2021	32	44	2	78
Nov 2021	67	57	3	127
Dec 2021	16	14	1	31
Jan 2022	21	23	1	45
Feb 2022	70	15	2	87
Mar 2022	71	24	0	95
Apr 2022	51	16	1	68
May 2022	30	15	2	47
Jun 2022	30	29	1	60
Jul 2022	19	11	1	31
Aug 2022	43	15	2	60
Sep 2022	55	23	2	80
Oct 2022	50	26	4	80
Nov 2022	89	46	2	137
Dec 2022	54	14	1	69
Jan 2023	50	31	2	83
Feb 2023	61	47	0	108
Mar 2023	102	26	3	131
Apr 2023	25	19	0	44
May 2023	23	18	1	42
Jun 2023	28	22	2	52
Jul 2023	46	35	3	84
Aug 2023	21	22	3	46
Sep 2023	27	15	2	44
Oct 2023	54	31	2	87
Nov 2023	89	27	0	116
Dec 2023	36	21	4	61
Jan 2024	38	20	4	62
Feb 2024	47	24	5	76
Mar 2024	294	31	6	331
Apr 2024	67	19	7	93
May 2024	90	39	12	141
Jun 2024	72	40	3	115
Jul 2024	42	21	4	67
Aug 2024	65	14	11	90
Sep 2024	57	14	0	71
Oct 2024	106	46	1	153
Nov 2024	44	25	2	71
Dec 2024	35	14	2	51
Jan 2025	48	19	3	70
Feb 2025	65	21	3	89
Mar 2025	47	17	0	64
Apr 2025	45	20	4	69
May 2025	53	17	1	71
Jun 2025	80	18	2	100
Jul 2025	57	18	4	79
Aug 2025	72	31	2	105
Sep 2025	78	30	1	109
Oct 2025	99	45	2	146
Nov 2025	65	14	0	79

Cumulative views and downloads (calculated since 05 Sep 2017)

Month	HTML	PDF	XML	Total
Sep 2017	93	31	3	127
Oct 2017	31	12	0	43
Nov 2017	32	15	1	48
Dec 2017	24	11	0	35
Jan 2018	59	23	1	83
Feb 2018	201	48	7	256
Mar 2018	86	38	4	128
Apr 2018	57	22	2	81
May 2018	46	24	2	72
Jun 2018	28	8	1	37
Jul 2018	47	14	3	64
Aug 2018	33	34	1	68
Sep 2018	37	21	3	61
Oct 2018	29	20	0	49
Nov 2018	43	31	1	75
Dec 2018	25	17	0	42
Jan 2019	29	9	0	38
Feb 2019	26	10	1	37
Mar 2019	36	19	1	56
Apr 2019	27	11	0	38
May 2019	44	22	1	67
Jun 2019	261	16	0	277
Jul 2019	237	10	0	247
Aug 2019	99	15	1	115
Sep 2019	133	12	0	145
Oct 2019	144	39	1	184
Nov 2019	159	13	0	172
Dec 2019	115	12	0	127
Jan 2020	57	24	1	82
Feb 2020	51	31	1	83
Mar 2020	32	26	0	58
Apr 2020	21	22	0	43
May 2020	36	17	0	53
Jun 2020	30	37	0	67
Jul 2020	84	75	26	185
Aug 2020	19	14	1	34
Sep 2020	34	9	0	43
Oct 2020	35	20	2	57
Nov 2020	35	31	0	66
Dec 2020	31	22	1	54
Jan 2021	41	19	1	61
Feb 2021	44	19	1	64
Mar 2021	37	20	0	57
Apr 2021	28	13	1	42
May 2021	24	19	0	43
Jun 2021	19	14	0	33
Jul 2021	30	21	1	52
Aug 2021	17	21	1	39
Sep 2021	22	19	0	41
Oct 2021	32	44	2	78
Nov 2021	67	57	3	127
Dec 2021	16	14	1	31
Jan 2022	21	23	1	45
Feb 2022	70	15	2	87
Mar 2022	71	24	0	95
Apr 2022	51	16	1	68
May 2022	30	15	2	47
Jun 2022	30	29	1	60
Jul 2022	19	11	1	31
Aug 2022	43	15	2	60
Sep 2022	55	23	2	80
Oct 2022	50	26	4	80
Nov 2022	89	46	2	137
Dec 2022	54	14	1	69
Jan 2023	50	31	2	83
Feb 2023	61	47	0	108
Mar 2023	102	26	3	131
Apr 2023	25	19	0	44
May 2023	23	18	1	42
Jun 2023	28	22	2	52
Jul 2023	46	35	3	84
Aug 2023	21	22	3	46
Sep 2023	27	15	2	44
Oct 2023	54	31	2	87
Nov 2023	89	27	0	116
Dec 2023	36	21	4	61
Jan 2024	38	20	4	62
Feb 2024	47	24	5	76
Mar 2024	294	31	6	331
Apr 2024	67	19	7	93
May 2024	90	39	12	141
Jun 2024	72	40	3	115
Jul 2024	42	21	4	67
Aug 2024	65	14	11	90
Sep 2024	57	14	0	71
Oct 2024	106	46	1	153
Nov 2024	44	25	2	71
Dec 2024	35	14	2	51
Jan 2025	48	19	3	70
Feb 2025	65	21	3	89
Mar 2025	47	17	0	64
Apr 2025	45	20	4	69
May 2025	53	17	1	71
Jun 2025	80	18	2	100
Jul 2025	57	18	4	79
Aug 2025	72	31	2	105
Sep 2025	78	30	1	109
Oct 2025	99	45	2	146
Nov 2025	65	14	0	79

Viewed (geographical distribution)

Total article views: 8,324 (including HTML, PDF, and XML) Thereof 7,649 with geography defined and 675 with unknown origin.

Country	#	Views	%

1

1

Latest update: 18 Nov 2025

Short summary

Tropical cyclones (TCs) pose a major risk to societies worldwide but very limited data exist on their socioeconomic impacts. Here, we apply a common wind field model to comprehensively and consistently estimate the number of people and the sum of assets exposed by all TCs between 1950 and 2015. This information is crucial to assess changes in societal vulnerabilites, to calibrate TC damage functions, and to make risk data more accessible to non-experts and stakeholders.


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