Articles | Volume 15, issue 1
Geosci. Model Dev., 15, 291–313, 2022
https://doi.org/10.5194/gmd-15-291-2022

Special issue: Fusion of radar polarimetry and numerical atmospheric modelling...

Geosci. Model Dev., 15, 291–313, 2022
https://doi.org/10.5194/gmd-15-291-2022
Model evaluation paper
17 Jan 2022
Model evaluation paper | 17 Jan 2022

Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators

Prabhakar Shrestha et al.

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Cited articles

Andrić, J., Kumjian, M. R., Zrnić, D. S., Straka, J. M., and Melnikov, V. M.: Polarimetric signatures above the melting layer in winter storms: An observational and modeling study, J. Appl. Meteorol. Clim., 52, 682–700, 2013. a, b, c, d, e
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011. a, b
Barrett, A. I., Wellmann, C., Seifert, A., Hoose, C., Vogel, B., and Kunz, M.: One step at a time: How model time step significantly affects convection-permitting simulations, J. Adv. Model. Earth Sy., 11, 641–658, 2019. a
Battaglia, A., Kummerow, C. D., Shin, D.-B., and Williams, C.: Constraining microwave brightness temperatures by radar bright band observations., J. Ocean. Atmos. Tech., 20, 856–871, 2003. a
Besic, N., Figueras i Ventura, J., Grazioli, J., Gabella, M., Germann, U., and Berne, A.: Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach, Atmos. Meas. Tech., 9, 4425–4445, https://doi.org/10.5194/amt-9-4425-2016, 2016. a, b
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The article focuses on the exploitation of radar polarimetry for model evaluation of stratiform precipitation. The model exhibited a low bias in simulated polarimetric moments at lower levels above the melting layer where snow was found to dominate. This necessitates further research into the missing microphysical processes in these lower levels (e.g. fragmentation due to ice–ice collisions) and use of more reliable snow-scattering models in the forward operator to draw valid conclusions.