A new subgrid-scale representation of hydrometeor fields  using a multivariate PDF

Griffin, Brian M.; Larson, Vincent E.

doi:https://doi.org/10.5194/gmd-9-2031-2016

Articles | Volume 9, issue 6

https://doi.org/10.5194/gmd-9-2031-2016

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

https://doi.org/10.5194/gmd-9-2031-2016

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

Articles | Volume 9, issue 6

Model description paper

|

03 Jun 2016

Model description paper |

| 03 Jun 2016

A new subgrid-scale representation of hydrometeor fields using a multivariate PDF

Brian M. Griffin and Vincent E. Larson

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Final revised paper (published on 03 Jun 2016)
Supplement to the final revised paper
Preprint (discussion started on 04 Feb 2016)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review', Anonymous Referee #1, 10 Mar 2016
- AC1: 'Response to Anonymous Referee #1', Brian Griffin, 19 Apr 2016
RC2: 'Review of: gmd-2015-280 - A new subgrid-scale representation of hydrometeor fields using a multivariate PDF Brian M. Griffin and Vincent E. Larson', Anonymous Referee #2, 11 Mar 2016
- AC2: 'Response to Anonymous Referee #2', Brian Griffin, 19 Apr 2016

Peer-review completion

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

AR by Brian Griffin on behalf of the Authors (20 Apr 2016) Author's response Manuscript

ED: Publish as is (20 Apr 2016) by Olivier Boucher

AR by Brian Griffin on behalf of the Authors (01 May 2016)

Short summary

A multivariate probability density function (PDF) can be used to represent the subgrid (below grid-box size) variability of atmospheric fields. The PDF was previously extended to include hydrometeor fields, such as rain water mixing ratio. Now, the PDF of hydrometeor fields is altered to account for precipitating and precipitation-less regions of the subgrid domain. Accounting for these regions allowed the hydrometeor PDF to produce an improved match to results from large-eddy simulations.