Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 5973-5989, 2017
http://www.atmos-chem-phys.net/17/5973/2017/
doi:10.5194/acp-17-5973-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
16 May 2017
Cloud vertical distribution from combined surface and space radar–lidar observations at two Arctic atmospheric observatories
Yinghui Liu 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, 31 Jan 2017 Printer-friendly Version 
AC1: 'response to reviewer's comments', Yinghui Liu, 08 Apr 2017 Printer-friendly Version Supplement 
 
RC2: 'Review of Liu et al', Abhay Devasthale, 06 Feb 2017 Printer-friendly Version Supplement 
AC2: 'response to reviewer's comments', Yinghui Liu, 08 Apr 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (10 Apr 2017)  Author's response
ED: Reconsider after minor revisions (Editor review) (18 Apr 2017) by Timothy Garrett  
AR by Svenja Lange on behalf of the Authors (27 Apr 2017)  Author's response
ED: Publish as is (03 May 2017) by Timothy Garrett
Publications Copernicus
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Short summary
Detailed and accurate vertical distributions of cloud properties are essential to accurately calculate the surface radiative flux and to depict the mean climate state, and such information is more desirable in the Arctic due to its recent rapid changes and the challenging observation conditions. This study presents a feasible way to provide such information by blending cloud observations from surface and space-based instruments with the understanding of their respective strength and limitations.
Detailed and accurate vertical distributions of cloud properties are essential to accurately...
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