The weather@home regional climate modelling project for Australia and New Zealand

Black, Mitchell T.; Karoly, David J.; Rosier, Suzanne M.; Dean, Sam M.; King, Andrew D.; Massey, Neil R.; Sparrow, Sarah N.; Bowery, Andy; Wallom, David; Jones, Richard G.; Otto, Friederike E. L.; Allen, Myles R.

doi:10.5194/gmd-9-3161-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/gmd-9-3161-2016

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

https://doi.org/10.5194/gmd-9-3161-2016

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

Articles | Volume 9, issue 9

Model evaluation paper

|

15 Sep 2016

Model evaluation paper |

| 15 Sep 2016

The weather@home regional climate modelling project for Australia and New Zealand

Mitchell T. Black, David J. Karoly, Suzanne M. Rosier, Sam M. Dean, Andrew D. King, Neil R. Massey, Sarah N. Sparrow, Andy Bowery, David Wallom, Richard G. Jones, Friederike E. L. Otto, and Myles R. Allen

Viewed

Total article views: 4,931 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
2,825	1,892	214	4,931	943	195	223

HTML: 2,825
PDF: 1,892
XML: 214
Total: 4,931
Supplement: 943
BibTeX: 195
EndNote: 223

Views and downloads (calculated since 12 May 2016)

Month	HTML	PDF	XML	Total
May 2016	141	35	1	177
Jun 2016	29	14	1	44
Jul 2016	14	6	1	21
Aug 2016	15	11	0	26
Sep 2016	71	24	5	100
Oct 2016	24	13	1	38
Nov 2016	13	7	2	22
Dec 2016	7	5	1	13
Jan 2017	18	11	3	32
Feb 2017	18	18	4	40
Mar 2017	29	27	6	62
Apr 2017	36	17	7	60
May 2017	43	33	10	86
Jun 2017	30	14	9	53
Jul 2017	14	13	2	29
Aug 2017	7	8	1	16
Sep 2017	14	11	1	26
Oct 2017	4	7	2	13
Nov 2017	9	10	0	19
Dec 2017	9	14	2	25
Jan 2018	4	15	0	19
Feb 2018	10	23	0	33
Mar 2018	11	27	0	38
Apr 2018	13	25	0	38
May 2018	12	26	1	39
Jun 2018	5	27	0	32
Jul 2018	11	24	2	37
Aug 2018	23	35	0	58
Sep 2018	14	20	0	34
Oct 2018	15	27	4	46
Nov 2018	24	22	1	47
Dec 2018	16	19	0	35
Jan 2019	16	15	0	31
Feb 2019	10	16	0	26
Mar 2019	9	19	1	29
Apr 2019	9	15	1	25
May 2019	8	21	0	29
Jun 2019	6	18	2	26
Jul 2019	12	26	0	38
Aug 2019	11	27	1	39
Sep 2019	3	17	0	20
Oct 2019	11	27	1	39
Nov 2019	11	28	0	39
Dec 2019	7	26	2	35
Jan 2020	17	9	3	29
Feb 2020	13	21	0	34
Mar 2020	10	16	1	27
Apr 2020	6	19	2	27
May 2020	7	15	0	22
Jun 2020	14	17	2	33
Jul 2020	41	73	31	145
Aug 2020	8	5	0	13
Sep 2020	18	27	0	45
Oct 2020	11	19	3	33
Nov 2020	7	22	0	29
Dec 2020	10	25	1	36
Jan 2021	19	10	0	29
Feb 2021	12	16	0	28
Mar 2021	13	21	1	35
Apr 2021	7	6	0	13
May 2021	9	8	1	18
Jun 2021	12	5	3	20
Jul 2021	20	6	1	27
Aug 2021	17	19	2	38
Sep 2021	11	18	2	31
Oct 2021	14	56	0	70
Nov 2021	16	37	2	55
Dec 2021	15	12	0	27
Jan 2022	14	11	2	27
Feb 2022	9	15	4	28
Mar 2022	12	26	2	40
Apr 2022	47	16	4	67
May 2022	37	23	0	60
Jun 2022	38	17	0	55
Jul 2022	32	23	2	57
Aug 2022	44	6	1	51
Sep 2022	36	9	2	47
Oct 2022	45	9	2	56
Nov 2022	51	17	1	69
Dec 2022	34	8	1	43
Jan 2023	40	16	0	56
Feb 2023	45	7	0	52
Mar 2023	49	18	1	68
Apr 2023	44	8	0	52
May 2023	52	8	0	60
Jun 2023	67	12	2	81
Jul 2023	44	5	1	50
Aug 2023	46	5	2	53
Sep 2023	40	3	0	43
Oct 2023	50	9	2	61
Nov 2023	26	3	3	32
Dec 2023	49	5	2	56
Jan 2024	43	9	2	54
Feb 2024	50	5	1	56
Mar 2024	44	11	0	55
Apr 2024	54	16	3	73
May 2024	26	10	6	42
Jun 2024	25	14	2	41
Jul 2024	32	16	3	51
Aug 2024	33	5	4	42
Sep 2024	28	12	0	40
Oct 2024	24	13	0	37
Nov 2024	17	4	3	24
Dec 2024	12	10	1	23
Jan 2025	25	13	1	39
Feb 2025	27	13	5	45
Mar 2025	24	4	2	30
Apr 2025	32	18	1	51
May 2025	36	4	0	40
Jun 2025	45	18	2	65
Jul 2025	21	23	3	47
Aug 2025	31	12	1	44
Sep 2025	45	18	1	64
Oct 2025	32	14	4	50
Nov 2025	25	26	5	56

Cumulative views and downloads (calculated since 12 May 2016)

Month	HTML	PDF	XML	Total
May 2016	141	35	1	177
Jun 2016	29	14	1	44
Jul 2016	14	6	1	21
Aug 2016	15	11	0	26
Sep 2016	71	24	5	100
Oct 2016	24	13	1	38
Nov 2016	13	7	2	22
Dec 2016	7	5	1	13
Jan 2017	18	11	3	32
Feb 2017	18	18	4	40
Mar 2017	29	27	6	62
Apr 2017	36	17	7	60
May 2017	43	33	10	86
Jun 2017	30	14	9	53
Jul 2017	14	13	2	29
Aug 2017	7	8	1	16
Sep 2017	14	11	1	26
Oct 2017	4	7	2	13
Nov 2017	9	10	0	19
Dec 2017	9	14	2	25
Jan 2018	4	15	0	19
Feb 2018	10	23	0	33
Mar 2018	11	27	0	38
Apr 2018	13	25	0	38
May 2018	12	26	1	39
Jun 2018	5	27	0	32
Jul 2018	11	24	2	37
Aug 2018	23	35	0	58
Sep 2018	14	20	0	34
Oct 2018	15	27	4	46
Nov 2018	24	22	1	47
Dec 2018	16	19	0	35
Jan 2019	16	15	0	31
Feb 2019	10	16	0	26
Mar 2019	9	19	1	29
Apr 2019	9	15	1	25
May 2019	8	21	0	29
Jun 2019	6	18	2	26
Jul 2019	12	26	0	38
Aug 2019	11	27	1	39
Sep 2019	3	17	0	20
Oct 2019	11	27	1	39
Nov 2019	11	28	0	39
Dec 2019	7	26	2	35
Jan 2020	17	9	3	29
Feb 2020	13	21	0	34
Mar 2020	10	16	1	27
Apr 2020	6	19	2	27
May 2020	7	15	0	22
Jun 2020	14	17	2	33
Jul 2020	41	73	31	145
Aug 2020	8	5	0	13
Sep 2020	18	27	0	45
Oct 2020	11	19	3	33
Nov 2020	7	22	0	29
Dec 2020	10	25	1	36
Jan 2021	19	10	0	29
Feb 2021	12	16	0	28
Mar 2021	13	21	1	35
Apr 2021	7	6	0	13
May 2021	9	8	1	18
Jun 2021	12	5	3	20
Jul 2021	20	6	1	27
Aug 2021	17	19	2	38
Sep 2021	11	18	2	31
Oct 2021	14	56	0	70
Nov 2021	16	37	2	55
Dec 2021	15	12	0	27
Jan 2022	14	11	2	27
Feb 2022	9	15	4	28
Mar 2022	12	26	2	40
Apr 2022	47	16	4	67
May 2022	37	23	0	60
Jun 2022	38	17	0	55
Jul 2022	32	23	2	57
Aug 2022	44	6	1	51
Sep 2022	36	9	2	47
Oct 2022	45	9	2	56
Nov 2022	51	17	1	69
Dec 2022	34	8	1	43
Jan 2023	40	16	0	56
Feb 2023	45	7	0	52
Mar 2023	49	18	1	68
Apr 2023	44	8	0	52
May 2023	52	8	0	60
Jun 2023	67	12	2	81
Jul 2023	44	5	1	50
Aug 2023	46	5	2	53
Sep 2023	40	3	0	43
Oct 2023	50	9	2	61
Nov 2023	26	3	3	32
Dec 2023	49	5	2	56
Jan 2024	43	9	2	54
Feb 2024	50	5	1	56
Mar 2024	44	11	0	55
Apr 2024	54	16	3	73
May 2024	26	10	6	42
Jun 2024	25	14	2	41
Jul 2024	32	16	3	51
Aug 2024	33	5	4	42
Sep 2024	28	12	0	40
Oct 2024	24	13	0	37
Nov 2024	17	4	3	24
Dec 2024	12	10	1	23
Jan 2025	25	13	1	39
Feb 2025	27	13	5	45
Mar 2025	24	4	2	30
Apr 2025	32	18	1	51
May 2025	36	4	0	40
Jun 2025	45	18	2	65
Jul 2025	21	23	3	47
Aug 2025	31	12	1	44
Sep 2025	45	18	1	64
Oct 2025	32	14	4	50
Nov 2025	25	26	5	56

Latest update: 26 Nov 2025

Short summary

This study presents a citizen science computing project, known as weather@home Australia–New Zealand, which runs climate models on thousands of home computers. By harnessing the power of volunteers' computers, this project is capable of simulating extreme weather events over Australia and New Zealand under different climate scenarios.