A prototype stochastic parameterization of regime behaviour in the stably stratified atmospheric boundary layer

Abraham, Carsten; Holdsworth, Amber M.; Monahan, Adam H.

doi:https://doi.org/10.5194/npg-26-401-2019

Articles | Volume 26, issue 4

https://doi.org/10.5194/npg-26-401-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-26-401-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 4

Research article

|

15 Nov 2019

Research article |

| 15 Nov 2019

A prototype stochastic parameterization of regime behaviour in the stably stratified atmospheric boundary layer

Carsten Abraham, Amber M. Holdsworth, and Adam H. Monahan

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Final revised paper (published on 15 Nov 2019)
Preprint (discussion started on 11 Oct 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee statement', Anonymous Referee #1, 14 Nov 2018
- AC3: 'Response to comments', Carsten Abraham, 23 Aug 2019
RC2: 'Review', Anonymous Referee #2, 03 Jan 2019
- AC2: 'Response to comments', Carsten Abraham, 23 Aug 2019
RC3: 'Review', Anonymous Referee #3, 25 Jan 2019
- AC1: 'Response to comments', Carsten Abraham, 23 Aug 2019

Peer-review completion

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

AR by Anna Wenzel on behalf of the Authors (26 Aug 2019) Author's response

ED: Referee Nomination & Report Request started (27 Aug 2019) by Juan Restrepo

RR by Anonymous Referee #1 (10 Sep 2019)

RR by Anonymous Referee #3 (21 Sep 2019)

ED: Publish subject to minor revisions (review by editor) (21 Sep 2019) by Juan Restrepo

AR by Carsten Abraham on behalf of the Authors (08 Oct 2019) Author's response Manuscript

ED: Publish as is (10 Oct 2019) by Juan Restrepo

Short summary

Atmospheric stably stratified boundary layers display transitions between regimes of sustained and intermittent turbulence. These transitions are not well represented in numerical weather prediction and climate models. A prototype explicitly stochastic turbulence parameterization simulating regime dynamics is presented and tested in an idealized model. Results demonstrate that the approach can improve the regime representation in models.