Articles | Volume 17, issue 15
Atmos. Chem. Phys., 17, 9599–9621, 2017
https://doi.org/10.5194/acp-17-9599-2017
Atmos. Chem. Phys., 17, 9599–9621, 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 et al.

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Cited articles

Ackerman, A. S., Fridlind, A. M., Grandin, A., Dezitter, F., Weber, M., Strapp, J. W., and Korolev, A. V.: High ice water content at low radar reflectivity near deep convection – Part 2: Evaluation of microphysical pathways in updraft parcel simulations, Atmos. Chem. Phys., 15, 11729–11751, https://doi.org/10.5194/acp-15-11729-2015, 2015.
Baumgardner, D., Brenguier, J. L., Bucholtz, A., Coe, H., DeMott, P., Garrett, T. J., Gayet, J. F., Hermann, M., Heymsfield, A., Korolev, A., Krämer, M., Petzold, A., Strapp, J. W., Pilewskie, P., Taylor, J., Twohy, C., Wendisch, M., Bachalo, W., and Chuang, P.: Airborne instruments to measure atmospheric aerosol particles, clouds and radiation: A cook's tour of mature and emerging technology, Atmos. Res., 102, 10–29, https://doi.org/10.1016/j.atmosres.2011.06.021, 2011.
Bechtold, P., Redelsperger, J.-L., Beau, I., Blackburn, M., Brinkop, S., Grandper, J.-Y., Grant, A., Gregory, D., Guichard, F., How, C., and Ioannidou, E.: A GCSS model intercomparison for a tropical squall line observed during TOGA-COARE. II: Intercomparison of single-column models and a cloud-resolving model, Q. J. Roy. Meteorol. Soc., 126, 865–888, https://doi.org/10.1002/qj.49712656405, 2000.
Blahak, U.: RADAR_MIE_LM and RADAR_MIELIB – Calculation of radar reflectivity from model output, Internal Rep., Institute for Meteorology and Climate Research, University/Research Center, Karlsruhe, 150 pp., 2007.
Blossey, P. N., Bretherton, C. S., Cetrone, J., and Kharoutdinov, M.: Cloud-resolving model simulations of KWAJEX: Model sensitivities and comparisons with satellite radar observations, J. Atmos. Sci., 64, 1488–1508, https://doi.org/10.1175/JAS3982.1, 2007.
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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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