Linkage between dust cycle and loess of the Last Glacial Maximum in Europe

Schaffernicht, Erik Jan; Ludwig, Patrick; Shao, Yaping

doi:https://doi.org/10.5194/acp-20-4969-2020

Articles | Volume 20, issue 8

https://doi.org/10.5194/acp-20-4969-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-4969-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 8

Research article

|

27 Apr 2020

Research article |

| 27 Apr 2020

Linkage between dust cycle and loess of the Last Glacial Maximum in Europe

Erik Jan Schaffernicht, Patrick Ludwig, and Yaping Shao

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Final revised paper (published on 27 Apr 2020)
Supplement to the final revised paper
Preprint (discussion started on 11 Oct 2019)
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Interactive discussion

Status: closed

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

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- Supplement

RC1: 'comment (dust)', Anonymous Referee #1, 23 Oct 2019
- AC2: 'Authors' replies to the comments of Referee1', Erik Jan Schaffernicht, 23 Feb 2020
RC2: 'Review for “Linkage between Dust Cycle and Loess of the Last Glacial Maximum in Europe” by Schaffernicht et al.', Anonymous Referee #2, 02 Nov 2019
- AC1: 'Replies of the authors to Referee2's comments', Erik Jan Schaffernicht, 23 Feb 2020

Peer-review completion

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

AR by Erik Jan Schaffernicht on behalf of the Authors (23 Feb 2020) Author's response Manuscript

ED: Publish as is (11 Mar 2020) by Yves Balkanski

AR by Erik Jan Schaffernicht on behalf of the Authors (21 Mar 2020) Manuscript

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Short summary

This study presents a model-based reconstruction of the mineral dust cycle on the regional scale for Europe during the LGM. It establishes a link between the loess distribution in Europe and the prevailing winds during the LGM. In addition to the cyclonic wind regimes, it is the first to reveal the importance of the northeasters and easterlies for dust emission and transport. It shows that a regional weather research and forecasting model can more realistically simulate the LGM dust cycle.