IL-GLOBO (1.0) &ndash; development and verification of the moist convection module

Rossi, Daniele; Maurizi, Alberto; Fantini, Maurizio

doi:https://doi.org/10.5194/gmd-9-789-2016

Articles | Volume 9, issue 2

https://doi.org/10.5194/gmd-9-789-2016

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

https://doi.org/10.5194/gmd-9-789-2016

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

Articles | Volume 9, issue 2

Development and technical paper

|

26 Feb 2016

Development and technical paper |

| 26 Feb 2016

IL-GLOBO (1.0) – development and verification of the moist convection module

Daniele Rossi, Alberto Maurizi, and Maurizio Fantini

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Final revised paper (published on 26 Feb 2016)
Preprint (discussion started on 28 Sep 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C2496: 'Review of IL-GLOBO (1.0) – development and verification of the moist convection module', Anonymous Referee #1, 15 Oct 2015
- AC C3981: 'Reply to anonymous referee #1', Daniele Rossi, 12 Feb 2016
RC C2865: 'Comment on IL-GLOBO (1.0) -- Development and verification of the moist convection module by Rossi et al.', Anonymous Referee #2, 12 Nov 2015
- AC C3985: 'Reply to anonymous referee #2', Daniele Rossi, 12 Feb 2016

Peer-review completion

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

AR by Daniele Rossi on behalf of the Authors (16 Feb 2016) Author's response

ED: Publish subject to technical corrections (19 Feb 2016) by Olivier Boucher

Short summary

In the atmospheric sciences and air quality studies, there is a widespread use of models which follows the trajectory of air particles. This paper provides the description and validation of the algorithm which parameterizes the vertical transport of air particles due to convective storms in the trajectory component of the model IL-GLOBO, which combines a trajectory model with a meteorological global-scale model, maintaining the consistency between the assumptions made by the two components.