A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E

Finlon, Joseph A.; McFarquhar, Greg M.; Nesbitt, Stephen W.; Rauber, Robert M.; Morrison, Hugh; Wu, Wei; Zhang, Pengfei

doi:https://doi.org/10.5194/acp-19-3621-2019

Articles | Volume 19, issue 6

https://doi.org/10.5194/acp-19-3621-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-3621-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 6

Research article

|

21 Mar 2019

Research article |

| 21 Mar 2019

A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E

Joseph A. Finlon, Greg M. McFarquhar, Stephen W. Nesbitt, Robert M. Rauber, Hugh Morrison, Wei Wu, and Pengfei Zhang

Supplement

https://doi.org/10.5194/acp-19-3621-2019-supplement

Data sets

Matched Radar and Microphysical Properties During MC3E J. Finlon https://doi.org/10.13012/B2IDB-6396968_V1

Model code and software

University of Illinois/Oklahoma Optical ArrayProbe (OAP) Processing Software G. M. McFarquhar, J. A. Finlon, D. M. Stechman, W. Wu, R. C. Jackson, and M. Freer https://doi.org/10.5281/zenodo.1285969

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Short summary

A new approach describing the relationship between ice crystal mass (m) and dimension (D) is derived, characterizing it as a set of equally realizable parameters based on the natural variability in cloud conditions observed by aircraft over the Great Plains. Results from this approach address shortcomings of microphysical parameterization schemes and remote sensing retrievals that employ a single m–D relation for a given ice species or environment.