Crossing the chasm: how to develop weather and climate models for next generation computers?

Lawrence, Bryan N.; Rezny, Michael; Budich, Reinhard; Bauer, Peter; Behrens, Jörg; Carter, Mick; Deconinck, Willem; Ford, Rupert; Maynard, Christopher; Mullerworth, Steven; Osuna, Carlos; Porter, Andrew; Serradell, Kim; Valcke, Sophie; Wedi, Nils; Wilson, Simon

doi:https://doi.org/10.5194/gmd-11-1799-2018

Articles | Volume 11, issue 5

https://doi.org/10.5194/gmd-11-1799-2018

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

https://doi.org/10.5194/gmd-11-1799-2018

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

Articles | Volume 11, issue 5

Review and perspective paper

| Highlight paper

|

08 May 2018

Review and perspective paper | Highlight paper |

| 08 May 2018

Crossing the chasm: how to develop weather and climate models for next generation computers?

Bryan N. Lawrence, Michael Rezny, Reinhard Budich, Peter Bauer, Jörg Behrens, Mick Carter, Willem Deconinck, Rupert Ford, Christopher Maynard, Steven Mullerworth, Carlos Osuna, Andrew Porter, Kim Serradell, Sophie Valcke, Nils Wedi, and Simon Wilson

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Final revised paper (published on 08 May 2018)
Preprint (discussion started on 05 Sep 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Various comments', Anonymous Referee #1, 06 Oct 2017
SC1: 'Proper reference for ACRANEB2 dwarf', Ján Mašek, 02 Nov 2017
RC2: 'Review for Crossing the Chasm', Anonymous Referee #2, 09 Feb 2018
AC1: 'Response to all referees', B.N. Lawrence, 28 Mar 2018

Peer-review completion

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

AR by B.N. Lawrence on behalf of the Authors (28 Mar 2018) Author's response Manuscript

ED: Publish as is (04 Apr 2018) by Steve Easterbrook

AR by B.N. Lawrence on behalf of the Authors (06 Apr 2018) Manuscript

Short summary

Weather and climate models consist of complex software evolving in response to both scientific requirements and changing computing hardware. After years of relatively stable hardware, more diversity is arriving. It is possible that this hardware diversity and the pace of change may lead to an inability for modelling groups to manage their software development. This chasm between aspiration and reality may need to be bridged by large community efforts rather than traditional in-house efforts.