Articles | Volume 17, issue 23
Atmos. Chem. Phys., 17, 14253–14273, 2017
https://doi.org/10.5194/acp-17-14253-2017
Atmos. Chem. Phys., 17, 14253–14273, 2017
https://doi.org/10.5194/acp-17-14253-2017

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

RainForest: a random forest algorithm for quantitative precipitation estimation over Switzerland
Daniel Wolfensberger, Marco Gabella, Marco Boscacci, Urs Germann, and Alexis Berne
Atmos. Meas. Tech., 14, 3169–3193, https://doi.org/10.5194/amt-14-3169-2021,https://doi.org/10.5194/amt-14-3169-2021, 2021
Short summary
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
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Cloud droplet formation at the base of tropical convective clouds: closure between modeling and measurement results of ACRIDICON–CHUVA
Ramon Campos Braga, Barbara Ervens, Daniel Rosenfeld, Meinrat O. Andreae, Jan-David Förster, Daniel Fütterer, Lianet Hernández Pardo, Bruna A. Holanda, Tina Jurkat-Witschas, Ovid O. Krüger, Oliver Lauer, Luiz A. T. Machado, Christopher Pöhlker, Daniel Sauer, Christiane Voigt, Adrian Walser, Manfred Wendisch, Ulrich Pöschl, and Mira L. Pöhlker
Atmos. Chem. Phys., 21, 17513–17528, https://doi.org/10.5194/acp-21-17513-2021,https://doi.org/10.5194/acp-21-17513-2021, 2021
Short summary
Impacts of long-range-transported mineral dust on summertime convective cloud and precipitation: a case study over the Taiwan region
Yanda Zhang, Fangqun Yu, Gan Luo, Jiwen Fan, and Shuai Liu
Atmos. Chem. Phys., 21, 17433–17451, https://doi.org/10.5194/acp-21-17433-2021,https://doi.org/10.5194/acp-21-17433-2021, 2021
Short summary
Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus
Rachel E. Hawker, Annette K. Miltenberger, Jill S. Johnson, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Paul R. Field, Benjamin J. Murray, and Ken S. Carslaw
Atmos. Chem. Phys., 21, 17315–17343, https://doi.org/10.5194/acp-21-17315-2021,https://doi.org/10.5194/acp-21-17315-2021, 2021
Short summary
Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations
Markus Karrer, Axel Seifert, Davide Ori, and Stefan Kneifel
Atmos. Chem. Phys., 21, 17133–17166, https://doi.org/10.5194/acp-21-17133-2021,https://doi.org/10.5194/acp-21-17133-2021, 2021
Short summary
Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX
Samira Khodayar, Silvio Davolio, Paolo Di Girolamo, Cindy Lebeaupin Brossier, Emmanouil Flaounas, Nadia Fourrie, Keun-Ok Lee, Didier Ricard, Benoit Vie, Francois Bouttier, Alberto Caldas-Alvarez, and Veronique Ducrocq
Atmos. Chem. Phys., 21, 17051–17078, https://doi.org/10.5194/acp-21-17051-2021,https://doi.org/10.5194/acp-21-17051-2021, 2021
Short summary

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.
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.
Altmetrics
Final-revised paper
Preprint