Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.509 IF 5.509
  • IF 5-year value: 5.689 IF 5-year 5.689
  • CiteScore value: 5.44 CiteScore 5.44
  • SNIP value: 1.519 SNIP 1.519
  • SJR value: 3.032 SJR 3.032
  • IPP value: 5.37 IPP 5.37
  • h5-index value: 86 h5-index 86
  • Scimago H index value: 161 Scimago H index 161
Volume 17, issue 23 | Copyright
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.
Related authors
From model to radar variables: a new forward polarimetric radar operator for COSMO
Daniel Wolfensberger and Alexis Berne
Atmos. Meas. Tech., 11, 3883-3916, https://doi.org/10.5194/amt-11-3883-2018,https://doi.org/10.5194/amt-11-3883-2018, 2018
Related subject area
Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
A model intercomparison of CCN-limited tenuous clouds in the high Arctic
Robin G. Stevens, Katharina Loewe, Christopher Dearden, Antonios Dimitrelos, Anna Possner, Gesa K. Eirund, Tomi Raatikainen, Adrian A. Hill, Benjamin J. Shipway, Jonathan Wilkinson, Sami Romakkaniemi, Juha Tonttila, Ari Laaksonen, Hannele Korhonen, Paul Connolly, Ulrike Lohmann, Corinna Hoose, Annica M. L. Ekman, Ken S. Carslaw, and Paul R. Field
Atmos. Chem. Phys., 18, 11041-11071, https://doi.org/10.5194/acp-18-11041-2018,https://doi.org/10.5194/acp-18-11041-2018, 2018
Impact of gravity waves on the motion and distribution of atmospheric ice particles
Aurélien Podglajen, Riwal Plougonven, Albert Hertzog, and Eric Jensen
Atmos. Chem. Phys., 18, 10799-10823, https://doi.org/10.5194/acp-18-10799-2018,https://doi.org/10.5194/acp-18-10799-2018, 2018
Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble
Annette K. Miltenberger, Paul R. Field, Adrian A. Hill, Ben J. Shipway, and Jonathan M. Wilkinson
Atmos. Chem. Phys., 18, 10593-10613, https://doi.org/10.5194/acp-18-10593-2018,https://doi.org/10.5194/acp-18-10593-2018, 2018
Extreme temperature and precipitation response to solar dimming and stratospheric aerosol geoengineering
Duoying Ji, Songsong Fang, Charles L. Curry, Hiroki Kashimura, Shingo Watanabe, Jason N. S. Cole, Andrew Lenton, Helene Muri, Ben Kravitz, and John C. Moore
Atmos. Chem. Phys., 18, 10133-10156, https://doi.org/10.5194/acp-18-10133-2018,https://doi.org/10.5194/acp-18-10133-2018, 2018
The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2
Ulrike Lohmann and David Neubauer
Atmos. Chem. Phys., 18, 8807-8828, https://doi.org/10.5194/acp-18-8807-2018,https://doi.org/10.5194/acp-18-8807-2018, 2018
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.
Publications Copernicus
Download
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...
Citation
Share