A ubiquitous ice size bias in simulations of tropical deep convection

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

doi:https://doi.org/10.5194/acp-17-9599-2017

Articles | Volume 17, issue 15

https://doi.org/10.5194/acp-17-9599-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-9599-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 15

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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Final revised paper (published on 09 Aug 2017)
Supplement to the final revised paper
Preprint (discussion started on 15 Feb 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of “A ubiquitous ice size bias in simulations of tropical deep convection”, submitted to ACP by Stanford et al., 2017', Anonymous Referee #1, 04 Apr 2017
- AC1: 'Response to Comments by Reviewer #1', McKenna Stanford, 13 Jun 2017
RC2: 'Review of "A ubiquitous ice size bias in simulations of tropical deep convection" by Stanford et al.', Anonymous Referee #2, 28 Apr 2017
- AC2: 'Response to Comments by Reviewer #2', McKenna Stanford, 13 Jun 2017

Peer-review completion

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

AR by McKenna Stanford on behalf of the Authors (08 Jul 2017)

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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.