Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study

Zhu, Dehua; Echendu, Shirley; Xuan, Yunqing; Webster, Mike; Cluckie, Ian

doi:https://doi.org/10.5194/hess-20-4707-2016

Articles | Volume 20, issue 12

https://doi.org/10.5194/hess-20-4707-2016

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

Special issue:

Modeling hydrological processes and changes

https://doi.org/10.5194/hess-20-4707-2016

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

Articles | Volume 20, issue 12

Research article

|

29 Nov 2016

Research article |

| 29 Nov 2016

Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study

Dehua Zhu, Shirley Echendu, Yunqing Xuan, Mike Webster, and Ian Cluckie

Viewed

Total article views: 2,652 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,441	1,114	97	2,652	99	103

HTML: 1,441
PDF: 1,114
XML: 97
Total: 2,652
BibTeX: 99
EndNote: 103

Views and downloads (calculated since 24 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	47	26	0	73
Jul 2016	37	11	1	49
Aug 2016	13	5	0	18
Sep 2016	6	3	0	9
Oct 2016	6	2	8	16
Nov 2016	46	19	1	66
Dec 2016	122	18	1	141
Jan 2017	29	16	2	47
Feb 2017	12	14	0	26
Mar 2017	25	13	4	42
Apr 2017	33	14	1	48
May 2017	29	12	0	41
Jun 2017	24	11	1	36
Jul 2017	26	9	0	35
Aug 2017	10	11	1	22
Sep 2017	10	7	0	17
Oct 2017	6	13	0	19
Nov 2017	9	23	1	33
Dec 2017	5	22	0	27
Jan 2018	8	18	0	26
Feb 2018	16	11	1	28
Mar 2018	14	11	0	25
Apr 2018	7	6	0	13
May 2018	9	14	1	24
Jun 2018	8	12	0	20
Jul 2018	4	5	1	10
Aug 2018	14	9	1	24
Sep 2018	10	11	0	21
Oct 2018	13	12	1	26
Nov 2018	10	8	4	22
Dec 2018	7	9	1	17
Jan 2019	7	5	2	14
Feb 2019	9	6	0	15
Mar 2019	8	8	1	17
Apr 2019	7	3	0	10
May 2019	9	11	2	22
Jun 2019	16	8	1	25
Jul 2019	15	11	0	26
Aug 2019	11	19	0	30
Sep 2019	10	8	0	18
Oct 2019	12	7	3	22
Nov 2019	10	7	0	17
Dec 2019	12	7	2	21
Jan 2020	13	5	2	20
Feb 2020	13	5	2	20
Mar 2020	7	5	0	12
Apr 2020	7	14	0	21
May 2020	6	14	0	20
Jun 2020	10	10	0	20
Jul 2020	15	29	5	49
Aug 2020	13	26	4	43
Sep 2020	18	26	2	46
Oct 2020	13	25	3	41
Nov 2020	11	13	0	24
Dec 2020	10	23	0	33
Jan 2021	27	33	0	60
Feb 2021	14	18	0	32
Mar 2021	13	12	0	25
Apr 2021	12	7	0	19
May 2021	11	7	1	19
Jun 2021	15	8	0	23
Jul 2021	7	9	0	16
Aug 2021	6	5	0	11
Sep 2021	13	18	1	32
Oct 2021	8	43	0	51
Nov 2021	7	26	0	33
Dec 2021	9	8	0	17
Jan 2022	13	14	0	27
Feb 2022	10	6	1	17
Mar 2022	6	7	1	14
Apr 2022	6	7	0	13
May 2022	5	4	3	12
Jun 2022	3	4	0	7
Jul 2022	5	2	0	7
Aug 2022	18	6	0	24
Sep 2022	6	7	0	13
Oct 2022	9	6	1	16
Nov 2022	20	8	0	28
Dec 2022	21	4	0	25
Jan 2023	14	17	1	32
Feb 2023	9	4	0	13
Mar 2023	19	9	1	29
Apr 2023	11	6	0	17
May 2023	27	10	1	38
Jun 2023	34	5	0	39
Jul 2023	14	7	2	23
Aug 2023	18	5	2	25
Sep 2023	5	10	0	15
Oct 2023	7	7	1	15
Nov 2023	8	12	4	24
Dec 2023	7	4	2	13
Jan 2024	12	3	1	16
Feb 2024	8	7	1	16
Mar 2024	8	10	1	19
Apr 2024	15	8	3	26
May 2024	17	11	5	33
Jun 2024	9	7	1	17
Jul 2024	10	6	1	17
Aug 2024	23	2	2	27
Sep 2024	8	11	0	19
Oct 2024	16	12	0	28
Nov 2024	1	2	0	3

Cumulative views and downloads (calculated since 24 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	47	26	0	73
Jul 2016	37	11	1	49
Aug 2016	13	5	0	18
Sep 2016	6	3	0	9
Oct 2016	6	2	8	16
Nov 2016	46	19	1	66
Dec 2016	122	18	1	141
Jan 2017	29	16	2	47
Feb 2017	12	14	0	26
Mar 2017	25	13	4	42
Apr 2017	33	14	1	48
May 2017	29	12	0	41
Jun 2017	24	11	1	36
Jul 2017	26	9	0	35
Aug 2017	10	11	1	22
Sep 2017	10	7	0	17
Oct 2017	6	13	0	19
Nov 2017	9	23	1	33
Dec 2017	5	22	0	27
Jan 2018	8	18	0	26
Feb 2018	16	11	1	28
Mar 2018	14	11	0	25
Apr 2018	7	6	0	13
May 2018	9	14	1	24
Jun 2018	8	12	0	20
Jul 2018	4	5	1	10
Aug 2018	14	9	1	24
Sep 2018	10	11	0	21
Oct 2018	13	12	1	26
Nov 2018	10	8	4	22
Dec 2018	7	9	1	17
Jan 2019	7	5	2	14
Feb 2019	9	6	0	15
Mar 2019	8	8	1	17
Apr 2019	7	3	0	10
May 2019	9	11	2	22
Jun 2019	16	8	1	25
Jul 2019	15	11	0	26
Aug 2019	11	19	0	30
Sep 2019	10	8	0	18
Oct 2019	12	7	3	22
Nov 2019	10	7	0	17
Dec 2019	12	7	2	21
Jan 2020	13	5	2	20
Feb 2020	13	5	2	20
Mar 2020	7	5	0	12
Apr 2020	7	14	0	21
May 2020	6	14	0	20
Jun 2020	10	10	0	20
Jul 2020	15	29	5	49
Aug 2020	13	26	4	43
Sep 2020	18	26	2	46
Oct 2020	13	25	3	41
Nov 2020	11	13	0	24
Dec 2020	10	23	0	33
Jan 2021	27	33	0	60
Feb 2021	14	18	0	32
Mar 2021	13	12	0	25
Apr 2021	12	7	0	19
May 2021	11	7	1	19
Jun 2021	15	8	0	23
Jul 2021	7	9	0	16
Aug 2021	6	5	0	11
Sep 2021	13	18	1	32
Oct 2021	8	43	0	51
Nov 2021	7	26	0	33
Dec 2021	9	8	0	17
Jan 2022	13	14	0	27
Feb 2022	10	6	1	17
Mar 2022	6	7	1	14
Apr 2022	6	7	0	13
May 2022	5	4	3	12
Jun 2022	3	4	0	7
Jul 2022	5	2	0	7
Aug 2022	18	6	0	24
Sep 2022	6	7	0	13
Oct 2022	9	6	1	16
Nov 2022	20	8	0	28
Dec 2022	21	4	0	25
Jan 2023	14	17	1	32
Feb 2023	9	4	0	13
Mar 2023	19	9	1	29
Apr 2023	11	6	0	17
May 2023	27	10	1	38
Jun 2023	34	5	0	39
Jul 2023	14	7	2	23
Aug 2023	18	5	2	25
Sep 2023	5	10	0	15
Oct 2023	7	7	1	15
Nov 2023	8	12	4	24
Dec 2023	7	4	2	13
Jan 2024	12	3	1	16
Feb 2024	8	7	1	16
Mar 2024	8	10	1	19
Apr 2024	15	8	3	26
May 2024	17	11	5	33
Jun 2024	9	7	1	17
Jul 2024	10	6	1	17
Aug 2024	23	2	2	27
Sep 2024	8	11	0	19
Oct 2024	16	12	0	28
Nov 2024	1	2	0	3

Cited

Latest update: 13 Nov 2024

Short summary

The study in the paper is utilizing and maximizing high-performance computing (HPC) power resources to support the study on extreme weather impact due to climate change, which for the first time allows modellers to simulate the entire system, ranging from the global circulation to a target catchment for impact study on a single platform, where both NWP and the hydrological model are executed so that more effective interaction and communication can be achieved and maintained between the model.

Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study

Viewed

Cited

2 citations as recorded by crossref.

2 citations as recorded by crossref.