Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 3253-3278, 2017
https://doi.org/10.5194/acp-17-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
07 Mar 2017
Sensitivity of the interannual variability of mineral aerosol simulations to meteorological forcing dataset
Molly B. Smith et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of Smith et al', Anonymous Referee #2, 26 Sep 2016 Printer-friendly Version 
AC1: 'Author response to RC1', Molly Smith, 23 Dec 2016 Printer-friendly Version Supplement 
 
RC2: 'Review: Sensitivity of the Variability of Mineral Aerosol Simulations to Meteorological Forcing Datasets by Molly B. Smith et al.', Anonymous Referee #1, 30 Sep 2016 Printer-friendly Version 
AC2: 'Author response to RC2', Molly Smith, 23 Dec 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Molly Smith on behalf of the Authors (24 Dec 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (19 Jan 2017) by Bernhard Vogel
RR by Anonymous Referee #2 (03 Feb 2017)  
ED: Publish subject to technical corrections (09 Feb 2017) by Bernhard Vogel  
AR by Molly Smith on behalf of the Authors (16 Feb 2017)  Author's response  Manuscript
CC BY 4.0
Publications Copernicus
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Short summary
Using different meteorology reanalyses to drive dust in climate modeling can produce dissimilar global dust distributions, especially in the Southern Hemisphere (SH). It may therefore not be advisable for SH dust studies to base results on simulations driven by one reanalysis. Northern Hemisphere dust varies mostly on seasonal timescales, while SH dust varies on interannual timescales. Dust is an important part of climate modeling, and we hope this contributes to understanding these simulations.
Using different meteorology reanalyses to drive dust in climate modeling can produce dissimilar...
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