Generalization and application of the flux-conservative thermodynamic equations in the AROME model of the ALADIN system

Degrauwe, Daan; Seity, Yann; Bouyssel, François; Termonia, Piet

doi:https://doi.org/10.5194/gmd-9-2129-2016

Articles | Volume 9, issue 6

https://doi.org/10.5194/gmd-9-2129-2016

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

https://doi.org/10.5194/gmd-9-2129-2016

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

Articles | Volume 9, issue 6

Model description paper

|

10 Jun 2016

Model description paper |

| 10 Jun 2016

Generalization and application of the flux-conservative thermodynamic equations in the AROME model of the ALADIN system

Daan Degrauwe, Yann Seity, François Bouyssel, and Piet Termonia

Download

Final revised paper (published on 10 Jun 2016)
Preprint (discussion started on 19 Jan 2016)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'General comments', Anonymous Referee #1, 03 Feb 2016
- AC1: 'Response to Referee #1', D. Degrauwe, 13 Apr 2016
RC2: 'General comments', Anonymous Referee #2, 04 Feb 2016
- AC2: 'Response to Referee #2', D. Degrauwe, 13 Apr 2016
RC3: 'Comment', Anonymous Referee #3, 08 Feb 2016
- AC3: 'Response to Referee #3', D. Degrauwe, 13 Apr 2016
RC4: 'Comments', Anonymous Referee #4, 10 Mar 2016
- AC4: 'Response to Referee #4', D. Degrauwe, 13 Apr 2016
AC5: 'Updated manuscript', D. Degrauwe, 13 Apr 2016

Peer-review completion

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

AR by D. Degrauwe on behalf of the Authors (13 Apr 2016) Author's response Manuscript

ED: Publish as is (03 May 2016) by Jason Williams

AR by D. Degrauwe on behalf of the Authors (13 May 2016)

Short summary

In its purest essence, numerical weather prediction boils down to solving the fundamental laws of nature with computers. Such fundamental laws are the conservation of energy and the conservation of mass. In this paper, a framework is presented that allows to respect these laws more accurately, which should lead to weather forecasts that correspond better to reality. Under specific circumstances, such as heavy precipitation, the proposed framework has a significant impact on the forecast.