Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 16, 15413-15424, 2016
https://doi.org/10.5194/acp-16-15413-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
13 Dec 2016
The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals
Takuro Michibata 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', Anonymous Referee #1, 01 Oct 2016 Printer-friendly Version 
AC1: 'Reply to Anonymous Referee #1', Takuro Michibata, 18 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Review', Anonymous Referee #2, 11 Oct 2016 Printer-friendly Version 
AC2: 'Reply to Anonymous Referee #2', Takuro Michibata, 18 Nov 2016 Printer-friendly Version Supplement 
 
SC1: 'Cloud response to dN_C as function of cloud subgrid-scale variability?', Karsten Peters, 24 Oct 2016 Printer-friendly Version 
AC3: 'Reply to Short Comment', Takuro Michibata, 18 Nov 2016 Printer-friendly Version Supplement 
 
AC4: 'tracked changes', Takuro Michibata, 18 Nov 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Takuro Michibata on behalf of the Authors (18 Nov 2016)  Author's response  Manuscript
ED: Publish as is (25 Nov 2016) by Philip Stier  
CC BY 4.0
Publications Copernicus
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Short summary
This study identifies a fundamental flaw of a GCM in aerosol–cloud–precipitation interactions. The model predicts a monotonic increase in the LWP in response to increased aerosols, which is in stark contrast to satellite retrievals that show a regional variation in the sign of the LWP response. The model also fails to represent the observed dependency of the LWP response on macrophysical regimes. The model biases are attributed to the autoconversion process, with a lack of buffering mechanisms.
This study identifies a fundamental flaw of a GCM in aerosol–cloud–precipitation...
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