Technical note: A noniterative approach to modelling moist thermodynamics

Moisseeva, Nadya; Stull, Roland

doi:https://doi.org/10.5194/acp-17-15037-2017

Articles | Volume 17, issue 24

https://doi.org/10.5194/acp-17-15037-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-17-15037-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 24

Technical note

|

19 Dec 2017

Technical note |

| 19 Dec 2017

Technical note: A noniterative approach to modelling moist thermodynamics

Nadya Moisseeva and Roland Stull

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Final revised paper (published on 19 Dec 2017)
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Preprint (discussion started on 18 Jul 2017)
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Interactive discussion

Status: closed

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

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RC1: 'Review of ‘A non-iterative approach to modelling moist thermodynamics’ by Nadya Moisseeva and Roland Stull', Anonymous Referee #1, 09 Oct 2017
RC2: 'Review of "“A noniterative approach to modelling moist thermodynamics” by Nadya Moisseeva and Roland Stull', Anonymous Referee #2, 25 Oct 2017
AC1: 'Author Response - A noniterative approach to modelling moist thermodynamics', Nadya Moisseeva, 09 Nov 2017
AC2: 'Manuscript Changes: A noniterative approach to modelling moist thermodynamics', Nadya Moisseeva, 09 Nov 2017

Peer-review completion

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

AR by Nadya Moisseeva on behalf of the Authors (09 Nov 2017) Author's response Manuscript

ED: Publish subject to technical corrections (10 Nov 2017) by Geraint Vaughan

AR by Nadya Moisseeva on behalf of the Authors (10 Nov 2017) Manuscript

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Short summary

This technical note presents simple noniterative approximations for two common thermodynamic relationships used for moist convection. The method offers roughly 2 orders of magnitude improvement in accuracy over the only existing noniterative solution. The proposed approach alleviates the need for costly numerical integration of saturated thermodynamic equations within numerical weather prediction models and in theoretical studies.