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

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Final revised paper (published on 29 Nov 2016)
Preprint (discussion started on 24 Jun 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 12 Aug 2016
- RC2: 'Comments on hess-2016-140', Anonymous Referee #2, 23 Oct 2016
  - AC2: 'Author's Response #2', DEHUA ZHU, 08 Nov 2016
- AC1: 'Author's Response #1', DEHUA ZHU, 08 Nov 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by Editor and Referees) (08 Nov 2016) by Qiuwen Chen

AR by Dehua Zhu on behalf of the Authors (09 Nov 2016) Author's response Manuscript

ED: Publish as is (10 Nov 2016) by Qiuwen Chen

AR by Dehua Zhu on behalf of the Authors (11 Nov 2016)

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.