The <q>ABC model</q>: a non-hydrostatic toy model for use in convective-scale data assimilation investigations

Petrie, Ruth Elizabeth; Bannister, Ross Noel; Cullen, Michael John Priestley

doi:https://doi.org/10.5194/gmd-10-4419-2017

Articles | Volume 10, issue 12

https://doi.org/10.5194/gmd-10-4419-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-4419-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 12

Development and technical paper

|

05 Dec 2017

Development and technical paper |

| 05 Dec 2017

The ABC model: a non-hydrostatic toy model for use in convective-scale data assimilation investigations

Ruth Elizabeth Petrie, Ross Noel Bannister, and Michael John Priestley Cullen

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Final revised paper (published on 05 Dec 2017)
Preprint (discussion started on 25 Apr 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'An excellent toy model for convective-scale developments', Anonymous Referee #1, 22 Jun 2017
- AC1: 'Reply to Reviewer 1', Ross Bannister, 27 Aug 2017
RC2: 'Review of: The ABC Model ... by Petrie et al', Anonymous Referee #2, 27 Jul 2017
- AC2: 'Reply to Reviewer 2', Ross Bannister, 27 Aug 2017

Peer-review completion

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

AR by Ross Bannister on behalf of the Authors (27 Aug 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Sep 2017) by James Maddison

RR by Anonymous Referee #1 (06 Oct 2017)

ED: Publish subject to technical corrections (20 Oct 2017) by James Maddison

AR by Ross Bannister on behalf of the Authors (26 Oct 2017) Author's response Manuscript

Short summary

The model and experiments in this paper are to study atmospheric flows on small (kilometre) scales. Compared to larger-scale flows, kilometre-scale motion is more difficult to predict, and geophysical balances are less valid. For these reasons, data assimilation (or DA, the task of using observations to initialise models) is more difficult, as the character of forecast errors (which have to be corrected by DA) is more difficult to represent. This model will be used to study small-scale DA.