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Volume 17, issue 23
Atmos. Chem. Phys., 17, 14253–14273, 2017
https://doi.org/10.5194/acp-17-14253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 14253–14273, 2017
https://doi.org/10.5194/acp-17-14253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Dec 2017

Research article | 01 Dec 2017

Multifractal evaluation of simulated precipitation intensities from the COSMO NWP model

Daniel Wolfensberger et al.

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Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

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, https://doi.org/10.1175/MWR-D-10-05013.1, 2011.
Bohme, T., Van Lipzig, N., Delobbe, L., and Seifert, A.: Precipitation patterns above Belgium using weather radar and COSMO model reflectivity data, in: Proceedings of the 8th International Symposium on Tropospheric Profiling, Delft, the Netherlands, available at: http://www.ch2011.ch/pdf/CH2011reportHIGH.pdf (last access: 13 August 2017), 2009.
COSMO: COSMO namelists and variables, available at: http://www.cosmo-model.org/content/tasks/operational/nmlDoc/cosmoDefault.htm?ver=3&mode=printerFriendly (last access: 8 July 2017), 2015.
Davis, C., Brown, B., and Bullock, R.: Object-based verification of precipitation forecasts. part i: methodology and application to mesoscale rain areas, Mon. Weather Rev., 134, 1772–1784, https://doi.org/10.1175/MWR3145.1, 2006.
Deidda, R.: Rainfall downscaling in a space-time multifractal framework, Water Resour. Res., 36, 1779–1794, https://doi.org/10.1029/2000WR900038, 2000.
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Short summary
Precipitation intensities simulated by the COSMO weather prediction model are compared to radar observations over a range of spatial and temporal scales using the universal multifractal framework. Our results highlight the strong influence of meteorological and topographical features on the multifractal characteristics of precipitation. Moreover, the influence of the subgrid parameterizations of COSMO is clearly visible by a break in the scaling properties that is absent from the radar data.
Precipitation intensities simulated by the COSMO weather prediction model are compared to radar...
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