Articles | Volume 17, issue 15
https://doi.org/10.5194/acp-17-9599-2017
https://doi.org/10.5194/acp-17-9599-2017
Research article
 | 
09 Aug 2017
Research article |  | 09 Aug 2017

A ubiquitous ice size bias in simulations of tropical deep convection

McKenna W. Stanford, Adam Varble, Ed Zipser, J. Walter Strapp, Delphine Leroy, Alfons Schwarzenboeck, Rodney Potts, and Alain Protat

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by McKenna Stanford on behalf of the Authors (13 Jun 2017)  Author's response    Manuscript
ED: Publish as is (03 Jul 2017) by Eric Jensen
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Short summary
Radar reflectivity is a valuable observational tool used to guide numerical weather model improvement. Biases in simulated reflectivity help identify potential errors in physical process and property representation in models. This study uniquely compares simulated and observed tropical convective systems to establish that a commonly documented high bias in radar reflectivity values at least partially results from the production of simulated ice particle sizes that are larger than observed.
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