Tropical cyclone perceptions, impacts and adaptation in the Southwest Pacific: an urban perspective from Fiji,  Vanuatu and Tonga

Magee, Andrew D.; Verdon-Kidd, Danielle C.; Kiem, Anthony S.; Royle, Stephen A.

doi:10.5194/nhess-16-1091-2016

Articles | Volume 16, issue 5

https://doi.org/10.5194/nhess-16-1091-2016

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

https://doi.org/10.5194/nhess-16-1091-2016

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

Articles | Volume 16, issue 5

Research article

|

12 May 2016

Research article |

| 12 May 2016

Tropical cyclone perceptions, impacts and adaptation in the Southwest Pacific: an urban perspective from Fiji, Vanuatu and Tonga

Andrew D. Magee, Danielle C. Verdon-Kidd, Anthony S. Kiem, and Stephen A. Royle

Viewed

Total article views: 6,965 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,885	3,857	223	6,965	167	190

HTML: 2,885
PDF: 3,857
XML: 223
Total: 6,965
BibTeX: 167
EndNote: 190

Views and downloads (calculated since 26 Nov 2015)

Month	HTML	PDF	XML	Total
Nov 2015	21	16	1	38
Dec 2015	21	33	1	55
Jan 2016	30	10	1	41
Feb 2016	31	13	3	47
Mar 2016	19	18	0	37
Apr 2016	13	8	0	21
May 2016	102	38	5	145
Jun 2016	25	11	2	38
Jul 2016	19	14	3	36
Aug 2016	8	26	0	34
Sep 2016	16	24	1	41
Oct 2016	11	21	1	33
Nov 2016	9	19	3	31
Dec 2016	9	15	0	24
Jan 2017	11	27	0	38
Feb 2017	5	21	0	26
Mar 2017	33	43	2	78
Apr 2017	28	45	2	75
May 2017	29	48	1	78
Jun 2017	18	22	1	41
Jul 2017	43	17	1	61
Aug 2017	13	20	3	36
Sep 2017	28	30	0	58
Oct 2017	10	37	2	49
Nov 2017	14	29	1	44
Dec 2017	11	27	0	38
Jan 2018	13	40	4	57
Feb 2018	4	30	0	34
Mar 2018	13	43	1	57
Apr 2018	8	33	1	42
May 2018	11	39	0	50
Jun 2018	13	39	0	52
Jul 2018	11	35	0	46
Aug 2018	19	44	2	65
Sep 2018	18	34	1	53
Oct 2018	12	49	1	62
Nov 2018	10	56	2	68
Dec 2018	12	32	1	45
Jan 2019	8	32	1	41
Feb 2019	6	28	1	35
Mar 2019	8	43	2	53
Apr 2019	6	47	3	56
May 2019	3	41	0	44
Jun 2019	12	43	0	55
Jul 2019	9	47	0	56
Aug 2019	10	44	0	54
Sep 2019	15	48	0	63
Oct 2019	15	51	1	67
Nov 2019	6	37	1	44
Dec 2019	2	16	0	18
Jan 2020	10	23	2	35
Feb 2020	16	20	2	38
Mar 2020	14	36	0	50
Apr 2020	13	34	0	47
May 2020	19	26	0	45
Jun 2020	17	18	0	35
Jul 2020	34	33	19	86
Aug 2020	9	20	9	38
Sep 2020	13	18	0	31
Oct 2020	11	18	0	29
Nov 2020	17	15	1	33
Dec 2020	20	21	1	42
Jan 2021	23	22	1	46
Feb 2021	20	22	2	44
Mar 2021	18	29	2	49
Apr 2021	24	31	4	59
May 2021	26	25	0	51
Jun 2021	13	28	1	42
Jul 2021	17	21	0	38
Aug 2021	15	21	1	37
Sep 2021	31	40	1	72
Oct 2021	32	85	0	117
Nov 2021	27	57	9	93
Dec 2021	23	36	3	62
Jan 2022	36	26	4	66
Feb 2022	16	21	2	39
Mar 2022	16	20	0	36
Apr 2022	21	14	3	38
May 2022	26	17	3	46
Jun 2022	19	29	2	50
Jul 2022	12	7	0	19
Aug 2022	17	18	1	36
Sep 2022	20	14	2	36
Oct 2022	15	26	3	44
Nov 2022	18	17	0	35
Dec 2022	16	9	2	27
Jan 2023	23	26	1	50
Feb 2023	26	11	1	38
Mar 2023	62	48	6	116
Apr 2023	23	41	1	65
May 2023	35	25	4	64
Jun 2023	35	9	0	44
Jul 2023	20	10	1	31
Aug 2023	43	14	4	61
Sep 2023	69	18	1	88
Oct 2023	109	38	5	152
Nov 2023	105	21	3	129
Dec 2023	35	25	2	62
Jan 2024	34	33	1	68
Feb 2024	36	20	1	57
Mar 2024	25	26	5	56
Apr 2024	40	14	6	60
May 2024	41	23	7	71
Jun 2024	20	13	3	36
Jul 2024	33	24	3	60
Aug 2024	30	22	5	57
Sep 2024	25	17	2	44
Oct 2024	36	46	2	84
Nov 2024	26	86	1	113
Dec 2024	36	103	5	144
Jan 2025	20	158	5	183
Feb 2025	32	150	1	183
Mar 2025	40	74	0	114
Apr 2025	49	78	1	128
May 2025	46	15	0	61
Jun 2025	47	27	2	76
Jul 2025	31	25	1	57
Aug 2025	28	25	2	55
Sep 2025	24	24	1	49
Oct 2025	40	40	1	81
Nov 2025	46	28	3	77

Cumulative views and downloads (calculated since 26 Nov 2015)

Month	HTML	PDF	XML	Total
Nov 2015	21	16	1	38
Dec 2015	21	33	1	55
Jan 2016	30	10	1	41
Feb 2016	31	13	3	47
Mar 2016	19	18	0	37
Apr 2016	13	8	0	21
May 2016	102	38	5	145
Jun 2016	25	11	2	38
Jul 2016	19	14	3	36
Aug 2016	8	26	0	34
Sep 2016	16	24	1	41
Oct 2016	11	21	1	33
Nov 2016	9	19	3	31
Dec 2016	9	15	0	24
Jan 2017	11	27	0	38
Feb 2017	5	21	0	26
Mar 2017	33	43	2	78
Apr 2017	28	45	2	75
May 2017	29	48	1	78
Jun 2017	18	22	1	41
Jul 2017	43	17	1	61
Aug 2017	13	20	3	36
Sep 2017	28	30	0	58
Oct 2017	10	37	2	49
Nov 2017	14	29	1	44
Dec 2017	11	27	0	38
Jan 2018	13	40	4	57
Feb 2018	4	30	0	34
Mar 2018	13	43	1	57
Apr 2018	8	33	1	42
May 2018	11	39	0	50
Jun 2018	13	39	0	52
Jul 2018	11	35	0	46
Aug 2018	19	44	2	65
Sep 2018	18	34	1	53
Oct 2018	12	49	1	62
Nov 2018	10	56	2	68
Dec 2018	12	32	1	45
Jan 2019	8	32	1	41
Feb 2019	6	28	1	35
Mar 2019	8	43	2	53
Apr 2019	6	47	3	56
May 2019	3	41	0	44
Jun 2019	12	43	0	55
Jul 2019	9	47	0	56
Aug 2019	10	44	0	54
Sep 2019	15	48	0	63
Oct 2019	15	51	1	67
Nov 2019	6	37	1	44
Dec 2019	2	16	0	18
Jan 2020	10	23	2	35
Feb 2020	16	20	2	38
Mar 2020	14	36	0	50
Apr 2020	13	34	0	47
May 2020	19	26	0	45
Jun 2020	17	18	0	35
Jul 2020	34	33	19	86
Aug 2020	9	20	9	38
Sep 2020	13	18	0	31
Oct 2020	11	18	0	29
Nov 2020	17	15	1	33
Dec 2020	20	21	1	42
Jan 2021	23	22	1	46
Feb 2021	20	22	2	44
Mar 2021	18	29	2	49
Apr 2021	24	31	4	59
May 2021	26	25	0	51
Jun 2021	13	28	1	42
Jul 2021	17	21	0	38
Aug 2021	15	21	1	37
Sep 2021	31	40	1	72
Oct 2021	32	85	0	117
Nov 2021	27	57	9	93
Dec 2021	23	36	3	62
Jan 2022	36	26	4	66
Feb 2022	16	21	2	39
Mar 2022	16	20	0	36
Apr 2022	21	14	3	38
May 2022	26	17	3	46
Jun 2022	19	29	2	50
Jul 2022	12	7	0	19
Aug 2022	17	18	1	36
Sep 2022	20	14	2	36
Oct 2022	15	26	3	44
Nov 2022	18	17	0	35
Dec 2022	16	9	2	27
Jan 2023	23	26	1	50
Feb 2023	26	11	1	38
Mar 2023	62	48	6	116
Apr 2023	23	41	1	65
May 2023	35	25	4	64
Jun 2023	35	9	0	44
Jul 2023	20	10	1	31
Aug 2023	43	14	4	61
Sep 2023	69	18	1	88
Oct 2023	109	38	5	152
Nov 2023	105	21	3	129
Dec 2023	35	25	2	62
Jan 2024	34	33	1	68
Feb 2024	36	20	1	57
Mar 2024	25	26	5	56
Apr 2024	40	14	6	60
May 2024	41	23	7	71
Jun 2024	20	13	3	36
Jul 2024	33	24	3	60
Aug 2024	30	22	5	57
Sep 2024	25	17	2	44
Oct 2024	36	46	2	84
Nov 2024	26	86	1	113
Dec 2024	36	103	5	144
Jan 2025	20	158	5	183
Feb 2025	32	150	1	183
Mar 2025	40	74	0	114
Apr 2025	49	78	1	128
May 2025	46	15	0	61
Jun 2025	47	27	2	76
Jul 2025	31	25	1	57
Aug 2025	28	25	2	55
Sep 2025	24	24	1	49
Oct 2025	40	40	1	81
Nov 2025	46	28	3	77

Latest update: 25 Nov 2025

Short summary

This study investigates how tropical cyclones impact urban residents of Fiji, Vanuatu and Tonga. We investigate how people perceive tropical cyclones (TCs), how they are impacted and what methods of adaptation are used to offset damage from TC activity. We propose a conceptual framework to merge the non-traditional knowledge of weather forecasting and climate science with weather-related traditional knowledge, and explore the possibilities of developing a multidimensional TC forecasting tool.