Articles | Volume 17, issue 9
Research article
15 May 2017
Research article |  | 15 May 2017

Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case

Ann M. Fridlind, Xiaowen Li, Di Wu, Marcus van Lier-Walqui, Andrew S. Ackerman, Wei-Kuo Tao, Greg M. McFarquhar, Wei Wu, Xiquan Dong, Jingyu Wang, Alexander Ryzhkov, Pengfei Zhang, Michael R. Poellot, Andrea Neumann, and Jason M. Tomlinson


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ann Fridlind on behalf of the Authors (16 Feb 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (23 Feb 2017) by Corinna Hoose
RR by Anonymous Referee #1 (27 Feb 2017)
RR by Anonymous Referee #2 (19 Mar 2017)
ED: Reconsider after minor revisions (Editor review) (24 Mar 2017) by Corinna Hoose
AR by Ann Fridlind on behalf of the Authors (03 Apr 2017)  Author's response   Manuscript 
ED: Publish as is (17 Apr 2017) by Corinna Hoose
AR by Ann Fridlind on behalf of the Authors (17 Apr 2017)
Short summary
Understanding observed storm microphysics via computer simulation requires measurements of aerosol on which most hydrometeors form. We prepare aerosol input data for six storms observed over Oklahoma. We demonstrate their use in simulations of a case with widespread ice outflow well sampled by aircraft. Simulations predict too few ice crystals that are too large. We speculate that microphysics found in tropical storms occurred here, likely associated with poorly understood ice multiplication.
Final-revised paper