Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX)

Menut, L.; Rea, G.; Mailler, S.; Khvorostyanov, D.; Turquety, S.

doi:https://doi.org/10.5194/acp-15-7897-2015

Articles | Volume 15, issue 14

https://doi.org/10.5194/acp-15-7897-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

CHemistry and AeRosols Mediterranean EXperiments (ChArMEx)...

https://doi.org/10.5194/acp-15-7897-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 14

Research article

|

17 Jul 2015

Research article |

| 17 Jul 2015

Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX)

L. Menut, G. Rea, S. Mailler, D. Khvorostyanov, and S. Turquety

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Final revised paper (published on 17 Jul 2015)
Preprint (discussion started on 09 Apr 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C2078: 'Review of acpd-15-10341-2015', Anonymous Referee #2, 30 Apr 2015
RC C3343: 'Review of acpd-15-10341-2015 by Anonymus Referee #1', Anonymous Referee #1, 08 Jun 2015
EC C3762: 'editor suggestions', Stelios Kazadzis, 17 Jun 2015
AC C4300: 'Answer to Editor and Reviewers', Laurent Menut, 03 Jul 2015

Peer-review completion

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

AR by Laurent Menut on behalf of the Authors (03 Jul 2015) Author's response Manuscript

ED: Publish as is (08 Jul 2015) by Stelios Kazadzis

AR by Laurent Menut on behalf of the Authors (08 Jul 2015) Author's response Manuscript

Short summary

The atmospheric composition was extensively studied in the European Mediterranean region and during summer 2013 within the framework of the ADRIMED project. During the campaign experiment, the WRF and CHIMERE models were used in forecast mode in order to help scientists to decide whether intensive observation periods should be triggered or not. This study quantifies the origin of the forecast error by comparing several forecast leads to the corresponding measurements.